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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 13871-13875 Body_part denotes back http://purl.org/sig/ont/fma/fma25056
T2 15970-15974 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T3 24445-24451 Body_part denotes Radius http://purl.org/sig/ont/fma/fma23463
T4 25373-25377 Body_part denotes Lung http://purl.org/sig/ont/fma/fma7195

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 4362-4367 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 6023-6028 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T3 8448-8453 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T4 15970-15974 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T5 21502-21507 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T6 25373-25377 Body_part denotes Lung http://purl.obolibrary.org/obo/UBERON_0002048

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 14-22 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 35-41 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T3 91-99 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 112-118 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T5 146-154 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 315-321 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T7 403-409 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T8 944-950 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T9 1461-1467 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T10 1654-1662 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 1675-1681 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T12 1840-1846 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T13 1992-1998 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T14 2115-2121 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T15 2584-2590 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T16 2730-2736 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T17 3169-3177 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 3190-3196 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T19 3444-3450 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T20 3692-3698 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T21 4455-4463 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 4558-4566 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 5158-5164 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T24 5295-5305 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T25 5332-5338 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T26 5474-5480 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T27 6191-6199 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 6212-6218 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T29 6361-6367 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T30 6584-6590 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T31 6607-6615 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 6690-6696 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T33 6830-6838 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T34 6868-6874 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T35 8124-8130 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T36 8152-8158 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T37 8203-8211 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 8721-8727 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T39 9007-9013 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T40 9358-9366 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 9424-9430 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T42 9456-9462 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T43 9474-9480 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T44 9560-9568 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 9636-9642 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T46 9676-9681 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T47 9729-9734 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T48 9914-9920 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T49 10064-10070 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T50 10773-10779 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T51 11260-11265 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T52 11639-11645 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T53 11711-11717 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T54 12371-12377 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T55 12867-12873 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T56 13131-13139 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T57 13441-13449 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T58 13454-13463 Disease denotes Infection http://purl.obolibrary.org/obo/MONDO_0005550
T59 13536-13541 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T60 14391-14396 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T61 14533-14541 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T62 14554-14560 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T63 14686-14694 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T64 14707-14713 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T65 15177-15183 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T66 15427-15437 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T67 15493-15526 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T68 15735-15741 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T69 16445-16454 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T70 16591-16600 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T71 16988-16994 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T72 17058-17064 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T73 17404-17410 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T74 17815-17821 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T75 17920-17926 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T76 17944-17950 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T77 18473-18479 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T78 18596-18602 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T79 21039-21045 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T80 21163-21169 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T81 21529-21535 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T82 21632-21638 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T83 21974-21982 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T84 21993-21999 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T85 22128-22136 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T86 22147-22153 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T87 23710-23713 Disease denotes MSD http://purl.obolibrary.org/obo/MONDO_0010088
T88 24628-24631 Disease denotes MSD http://purl.obolibrary.org/obo/MONDO_0010088
T89 24865-24868 Disease denotes MSD http://purl.obolibrary.org/obo/MONDO_0010088
T90 25299-25302 Disease denotes MSD http://purl.obolibrary.org/obo/MONDO_0010088
T91 25373-25384 Disease denotes Lung Cancer http://purl.obolibrary.org/obo/MONDO_0008903
T92 25378-25384 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 48-49 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T2 448-449 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 478-479 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 689-694 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T5 788-789 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T6 799-802 http://purl.obolibrary.org/obo/CLO_0001311 denotes 356
T7 951-952 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 989-995 http://purl.obolibrary.org/obo/UBERON_0001456 denotes facing
T9 1091-1092 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1850-1851 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 2131-2132 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2414-2419 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T13 2907-2908 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 3136-3145 http://purl.obolibrary.org/obo/BFO_0000030 denotes Objective
T15 3205-3206 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 3364-3367 http://purl.obolibrary.org/obo/CLO_0001311 denotes 356
T17 3408-3413 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T18 3612-3613 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 4138-4139 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 4161-4162 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 4179-4182 http://purl.obolibrary.org/obo/CLO_0001000 denotes 3-5
T22 4192-4197 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T23 4198-4201 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T24 4202-4203 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 4229-4230 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 4260-4264 http://purl.obolibrary.org/obo/CLO_0001313 denotes 3%.6
T27 4353-4354 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 4906-4907 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 5169-5170 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 5386-5391 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T31 5392-5393 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T32 5720-5729 http://purl.obolibrary.org/obo/OBI_0000245 denotes organized
T33 5860-5861 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 6013-6014 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T35 6318-6319 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 6497-6498 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 7103-7104 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 7429-7435 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T39 7477-7478 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 7910-7920 http://purl.obolibrary.org/obo/OBI_0000968 denotes Instrument
T41 7941-7951 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T42 8246-8256 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T43 8290-8291 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 8356-8357 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 8459-8460 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 8668-8669 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 9166-9167 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T48 9970-9971 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T49 10124-10134 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T50 10178-10188 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T51 11394-11397 http://purl.obolibrary.org/obo/CLO_0001311 denotes 356
T52 12142-12143 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 12796-12797 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T54 13119-13120 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 13633-13639 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T56 13712-13717 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T57 14155-14156 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 14440-14445 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T59 14566-14569 http://purl.obolibrary.org/obo/CLO_0008190 denotes Per
T60 14754-14759 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T61 14974-14975 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 16514-16515 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 16735-16736 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 16820-16822 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T65 16860-16861 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T66 16897-16909 http://purl.obolibrary.org/obo/OBI_0000245 denotes organization
T67 17301-17302 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 17333-17334 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 18300-18301 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 18488-18489 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 18521-18522 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 18841-18842 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T73 19630-19631 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 19835-19840 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T75 19907-19908 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T76 20263-20268 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T77 20282-20283 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T78 20416-20423 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T79 20730-20731 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T80 20819-20827 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T81 21054-21055 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T82 21197-21198 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 21601-21604 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T84 21749-21750 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T85 22188-22189 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T86 23302-23304 http://purl.obolibrary.org/obo/CLO_0050475 denotes My
T87 23545-23546 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T88 24774-24775 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T89 25373-25377 http://purl.obolibrary.org/obo/UBERON_0002048 denotes Lung
T90 25373-25377 http://www.ebi.ac.uk/efo/EFO_0000934 denotes Lung

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 14-22 Disease denotes COVID-19 MESH:C000657245
3 35-41 Disease denotes Cancer MESH:D009369
8 301-309 Species denotes patients Tax:9606
9 146-154 Disease denotes COVID-19 MESH:C000657245
10 315-321 Disease denotes cancer MESH:D009369
11 403-409 Disease denotes cancer MESH:D009369
13 745-752 Species denotes patient Tax:9606
21 930-938 Species denotes patients Tax:9606
22 1345-1353 Species denotes patients Tax:9606
23 1393-1405 Species denotes Participants Tax:9606
24 1415-1422 Species denotes patient Tax:9606
25 1581-1589 Species denotes patients Tax:9606
26 944-950 Disease denotes cancer MESH:D009369
27 1461-1467 Disease denotes cancer MESH:D009369
31 1799-1806 Species denotes patient Tax:9606
32 1654-1662 Disease denotes COVID-19 MESH:C000657245
33 1675-1681 Disease denotes cancer MESH:D009369
48 1978-1986 Species denotes patients Tax:9606
49 2054-2062 Species denotes patients Tax:9606
50 2101-2109 Species denotes patients Tax:9606
51 2291-2299 Species denotes patients Tax:9606
52 2570-2578 Species denotes patients Tax:9606
53 2738-2746 Species denotes patients Tax:9606
54 2849-2857 Species denotes patients Tax:9606
55 2971-2979 Species denotes patients Tax:9606
56 3107-3114 Species denotes patient Tax:9606
57 1840-1846 Disease denotes Cancer MESH:D009369
58 1992-1998 Disease denotes cancer MESH:D009369
59 2115-2121 Disease denotes cancer MESH:D009369
60 2584-2590 Disease denotes cancer MESH:D009369
61 2730-2736 Disease denotes cancer MESH:D009369
64 3169-3177 Disease denotes COVID-19 MESH:C000657245
65 3190-3196 Disease denotes cancer MESH:D009369
69 3646-3653 Species denotes patient Tax:9606
70 3444-3450 Disease denotes cancer MESH:D009369
71 3692-3698 Disease denotes cancer MESH:D009369
73 4078-4093 Species denotes new coronavirus Tax:2697049
78 4299-4305 Species denotes people Tax:9606
79 4306-4314 Disease denotes infected MESH:D007239
80 4329-4335 Disease denotes deaths MESH:D003643
81 4455-4463 Disease denotes COVID-19 MESH:C000657245
87 4661-4668 Species denotes patient Tax:9606
88 5012-5020 Species denotes patients Tax:9606
89 5024-5034 Species denotes outpatient Tax:9606
90 5105-5113 Species denotes patients Tax:9606
91 4558-4566 Disease denotes COVID-19 MESH:C000657245
98 5144-5152 Species denotes Patients Tax:9606
99 5502-5510 Species denotes patients Tax:9606
100 5158-5164 Disease denotes cancer MESH:D009369
101 5295-5305 Disease denotes infections MESH:D007239
102 5332-5338 Disease denotes cancer MESH:D009369
103 5474-5480 Disease denotes cancer MESH:D009369
107 6191-6199 Disease denotes COVID-19 MESH:C000657245
108 6212-6218 Disease denotes cancer MESH:D009369
109 6361-6367 Disease denotes cancer MESH:D009369
116 6975-6983 Species denotes patients Tax:9606
117 6584-6590 Disease denotes cancer MESH:D009369
118 6607-6615 Disease denotes COVID-19 MESH:C000657245
119 6690-6696 Disease denotes cancer MESH:D009369
120 6830-6838 Disease denotes COVID-19 MESH:C000657245
121 6868-6874 Disease denotes cancer MESH:D009369
124 7806-7818 Species denotes participants Tax:9606
125 7846-7854 Species denotes Patients Tax:9606
131 8707-8715 Species denotes patients Tax:9606
132 8124-8130 Disease denotes cancer MESH:D009369
133 8152-8158 Disease denotes cancer MESH:D009369
134 8203-8211 Disease denotes COVID-19 MESH:C000657245
135 8721-8727 Disease denotes cancer MESH:D009369
153 8964-8972 Species denotes patients Tax:9606
154 9154-9162 Species denotes patients Tax:9606
155 9319-9327 Species denotes patients Tax:9606
156 9407-9415 Species denotes patients Tax:9606
157 9442-9450 Species denotes patients Tax:9606
158 9622-9630 Species denotes patients Tax:9606
159 9900-9908 Species denotes patients Tax:9606
160 9007-9013 Disease denotes cancer MESH:D009369
161 9358-9366 Disease denotes COVID-19 MESH:C000657245
162 9424-9430 Disease denotes cancer MESH:D009369
163 9456-9462 Disease denotes cancer MESH:D009369
164 9474-9480 Disease denotes cancer MESH:D009369
165 9560-9568 Disease denotes COVID-19 MESH:C000657245
166 9636-9642 Disease denotes cancer MESH:D009369
167 9676-9688 Disease denotes tumor boards MESH:D009369
168 9729-9741 Disease denotes tumor boards MESH:D009369
169 9914-9920 Disease denotes cancer MESH:D009369
171 10064-10070 Disease denotes cancer MESH:D009369
173 10773-10779 Disease denotes cancer MESH:D009369
176 11305-11313 Species denotes patients Tax:9606
177 11260-11272 Disease denotes tumor boards MESH:D009369
181 11697-11705 Species denotes patients Tax:9606
182 11639-11645 Disease denotes cancer MESH:D009369
183 11711-11717 Disease denotes cancer MESH:D009369
185 12371-12377 Disease denotes Cancer MESH:D009369
194 12428-12436 Species denotes patients Tax:9606
195 12532-12540 Species denotes patients Tax:9606
196 12610-12620 Species denotes outpatient Tax:9606
197 12661-12669 Species denotes Patients Tax:9606
198 12758-12770 Species denotes Participants Tax:9606
199 12822-12830 Species denotes patients Tax:9606
200 13038-13046 Species denotes patients Tax:9606
201 12867-12873 Disease denotes cancer MESH:D009369
203 13076-13084 Species denotes Patients Tax:9606
207 13156-13164 Species denotes patients Tax:9606
208 13350-13357 Species denotes patient Tax:9606
209 13131-13139 Disease denotes COVID-19 MESH:C000657245
212 13441-13449 Disease denotes COVID-19 MESH:C000657245
213 13454-13463 Disease denotes Infection MESH:D007239
216 13727-13735 Species denotes patients Tax:9606
217 13536-13548 Disease denotes tumor boards MESH:D009369
221 14451-14459 Species denotes patients Tax:9606
222 14494-14502 Species denotes patients Tax:9606
223 14391-14403 Disease denotes tumor boards MESH:D009369
226 14533-14541 Disease denotes COVID-19 MESH:C000657245
227 14554-14560 Disease denotes Cancer MESH:D009369
230 14686-14694 Disease denotes COVID-19 MESH:C000657245
231 14707-14713 Disease denotes cancer MESH:D009369
240 15010-15017 Species denotes patient Tax:9606
241 15163-15171 Species denotes patients Tax:9606
242 15721-15729 Species denotes patients Tax:9606
243 15839-15847 Species denotes patients Tax:9606
244 15177-15183 Disease denotes cancer MESH:D009369
245 15456-15488 Disease denotes Middle East respiratory syndrome MESH:D018352
246 15493-15526 Disease denotes severe acute respiratory syndrome MESH:D045169
247 15735-15741 Disease denotes cancer MESH:D009369
255 16373-16381 Species denotes patients Tax:9606
256 16394-16402 Species denotes patients Tax:9606
257 16549-16557 Species denotes patients Tax:9606
258 16640-16647 Species denotes patient Tax:9606
259 16445-16454 Disease denotes infection MESH:D007239
260 16456-16475 Disease denotes emotional disorders MESH:D030342
261 16591-16600 Disease denotes infection MESH:D007239
265 16974-16982 Species denotes patients Tax:9606
266 16988-16994 Disease denotes cancer MESH:D009369
267 17058-17064 Disease denotes cancer MESH:D009369
278 17348-17360 Species denotes participants Tax:9606
279 17390-17398 Species denotes patients Tax:9606
280 17492-17500 Species denotes patients Tax:9606
281 17579-17586 Species denotes patient Tax:9606
282 17906-17914 Species denotes patients Tax:9606
283 18073-18081 Species denotes patients Tax:9606
284 17404-17410 Disease denotes cancer MESH:D009369
285 17815-17821 Disease denotes cancer MESH:D009369
286 17920-17926 Disease denotes cancer MESH:D009369
287 17944-17950 Disease denotes cancer MESH:D009369
290 18473-18479 Disease denotes cancer MESH:D009369
291 18596-18602 Disease denotes cancer MESH:D009369
293 18734-18741 Species denotes patient Tax:9606
295 20225-20232 Species denotes patient Tax:9606
297 20896-20913 Disease denotes cognitive fitness MESH:D003072
305 21123-21130 Species denotes patient Tax:9606
306 21239-21247 Species denotes patients Tax:9606
307 21437-21445 Species denotes patients Tax:9606
308 21039-21045 Disease denotes cancer MESH:D009369
309 21163-21169 Disease denotes cancer MESH:D009369
310 21529-21535 Disease denotes cancer MESH:D009369
311 21632-21638 Disease denotes cancer MESH:D009369
314 21974-21982 Disease denotes COVID-19 MESH:C000657245
315 21993-21999 Disease denotes Cancer MESH:D009369
317 22509-22517 Species denotes patients Tax:9606
319 23823-23831 Species denotes Ellipses Tax:301928
321 25373-25384 Disease denotes Lung Cancer MESH:D008175

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 35-41 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T2 112-118 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T3 315-321 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T4 403-409 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T5 944-950 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T6 1461-1467 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T7 1675-1681 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T8 1840-1846 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T9 1992-1998 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T10 2115-2121 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T11 2584-2590 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T12 2730-2736 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T13 3190-3196 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T14 3444-3450 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T15 3692-3698 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T16 3962-3970 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T17 4932-4940 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T18 5158-5164 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T19 5332-5338 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T20 5474-5480 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T21 5933-5941 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T22 6212-6218 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T23 6269-6277 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T24 6361-6367 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T25 6584-6590 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T26 6690-6696 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T27 6771-6779 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T28 6868-6874 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T29 7241-7249 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T30 7450-7458 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T31 8124-8130 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T32 8152-8158 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T33 8721-8727 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T34 9007-9013 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T35 9424-9430 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T36 9456-9462 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T37 9474-9480 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T38 9636-9642 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T39 9676-9681 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T40 9729-9734 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T41 9914-9920 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T42 10064-10070 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T43 10773-10779 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T44 11260-11265 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T45 11639-11645 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T46 11711-11717 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T47 12371-12377 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T48 12867-12873 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T49 13536-13541 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T50 14391-14396 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T51 14554-14560 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T52 14707-14713 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T53 15177-15183 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T54 15735-15741 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T55 16988-16994 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T56 17058-17064 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T57 17404-17410 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T58 17815-17821 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T59 17920-17926 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T60 17944-17950 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T61 18473-18479 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T62 18596-18602 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T63 19826-19834 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T64 19946-19954 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T65 20434-20442 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T66 21039-21045 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T67 21163-21169 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T68 21529-21535 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T69 21632-21638 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T70 21993-21999 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T71 22147-22153 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T72 23714-23722 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T73 24804-24812 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T74 24869-24877 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T75 25373-25384 Phenotype denotes Lung Cancer http://purl.obolibrary.org/obo/HP_0100526

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-47 Sentence denotes Impact of the COVID-19 Pandemic on Cancer Care:
T2 48-76 Sentence denotes A Global Collaborative Study
T3 77-123 Sentence denotes Impact of the COVID-19 Pandemic on Cancer Care
T4 125-133 Sentence denotes Abstract
T5 134-141 Sentence denotes PURPOSE
T6 142-343 Sentence denotes The COVID-19 pandemic affected health care systems globally and resulted in the interruption of usual care in many health care facilities, exposing vulnerable patients with cancer to significant risks.
T7 344-425 Sentence denotes Our study aimed to evaluate the impact of this pandemic on cancer care worldwide.
T8 427-434 Sentence denotes METHODS
T9 435-526 Sentence denotes We conducted a cross-sectional study using a validated web-based questionnaire of 51 items.
T10 527-778 Sentence denotes The questionnaire obtained information on the capacity and services offered at these centers, magnitude of disruption of care, reasons for disruption, challenges faced, interventions implemented, and the estimation of patient harm during the pandemic.
T11 780-787 Sentence denotes RESULTS
T12 788-897 Sentence denotes A total of 356 centers from 54 countries across six continents participated between April 21 and May 8, 2020.
T13 898-958 Sentence denotes These centers serve 716,979 new patients with cancer a year.
T14 959-1046 Sentence denotes Most of them (88.2%) reported facing challenges in delivering care during the pandemic.
T15 1047-1294 Sentence denotes Although 55.34% reduced services as part of a preemptive strategy, other common reasons included an overwhelmed system (19.94%), lack of personal protective equipment (19.10%), staff shortage (17.98%), and restricted access to medications (9.83%).
T16 1295-1392 Sentence denotes Missing at least one cycle of therapy by > 10% of patients was reported in 46.31% of the centers.
T17 1393-1611 Sentence denotes Participants reported patient exposure to harm from interruption of cancer-specific care (36.52%) and noncancer-related care (39.04%), with some centers estimating that up to 80% of their patients were exposed to harm.
T18 1613-1623 Sentence denotes CONCLUSION
T19 1624-1749 Sentence denotes The detrimental impact of the COVID-19 pandemic on cancer care is widespread, with varying magnitude among centers worldwide.
T20 1750-1825 Sentence denotes Additional research to assess this impact at the patient level is required.
T21 1827-1839 Sentence denotes INTRODUCTION
T22 1840-2083 Sentence denotes Cancer is a serious disease that affects the lives of millions around the globe.1 Because of the nature of the disease and its treatment, patients with cancer are required to visit health care facilities more than patients with other diseases.
T23 2084-2542 Sentence denotes The treatment of patients with cancer requires a full involvement of multidisciplinary teams throughout the disease trajectory from diagnosis to survivorship or end-of-life care.2 During the disease course, patients require multiple hospital visits for assessment by different clinicians and to undergo many laboratory or imaging tests for diagnosis, staging, or monitoring of treatment effects in addition to different types of procedures and interventions.
T24 2543-2709 Sentence denotes Besides medical providers, patients with cancer need the help of many other disciplines, such as social workers, psychologists, educators, and other support services.
T25 2710-2812 Sentence denotes Once diagnosed with cancer, patients need continued monitoring and support during and after treatment.
T26 2813-3123 Sentence denotes To achieve the maximum benefits for patients, these services should be working in harmony and a timely fashion, with great commitment and compliance from the patients because any unjustifiable deviation from the well-established standards may lead to fragmented and poor-quality care and worse patient outcome.
T27 3124-3131 Sentence denotes CONTEXT
T28 3132-3145 Sentence denotes Key Objective
T29 3146-3220 Sentence denotes What was the impact of COVID-19 pandemic on cancer care at a global level?
T30 3221-3280 Sentence denotes How did the magnitude of impact vary in different settings?
T31 3281-3300 Sentence denotes Knowledge Generated
T32 3301-3601 Sentence denotes Our study revealed that the overwhelming majority (88%) of the 356 participating centers on six continents faced challenges in providing usual cancer care for many reasons, including precautionary measures, an overwhelmed health care system, lack of personal protective equipment, and staff shortage.
T33 3602-3735 Sentence denotes More than a third of these centers reported patient exposure to harm from interruption of cancer-specific care or other medical care.
T34 3736-3804 Sentence denotes As expected, the impact was more pronounced in low-income countries.
T35 3805-3906 Sentence denotes The implementation of virtual communication and remote care were prevalent responses in most centers.
T36 3907-3916 Sentence denotes Relevance
T37 3917-4072 Sentence denotes The lessons learned from this study may help oncology centers to manage the current pandemic more efficiently and be better prepared for any future crises.
T38 4074-4266 Sentence denotes The new coronavirus started as an outbreak in late 2019, and in a few weeks, it became a global pandemic.3-5 This new virus has a high contiguity rate and a fatality rate between 2% and 3%.6-8
T39 4267-4553 Sentence denotes Up to June 8, 2020, > 7,000,000 people infected and > 400,000 deaths were reported on a global scale, with large discrepancies in incidence and fatality among countries as reported by the COVID-19 Dashboard of the Center for Systems Science and Engineering at Johns Hopkins University.9
T40 4554-4902 Sentence denotes The COVID-19 pandemic affected health care services in many dimensions, starting from interrupting regular patient flow to health care facilities, stressing and overwhelming the health care resources, and leading to the implementation of extra protective measures and social distancing with increased utilization of telehealth and virtual medicine.
T41 4903-5143 Sentence denotes As a precautionary approach, oncology practices implemented specific measures such as reducing the number of patients in outpatient clinics, reducing unnecessary or elective procedures, and discharging patients from inpatient services.10,11
T42 5144-5361 Sentence denotes Patients with cancer are a vulnerable population, and they are prone to many harms during such pandemics, including susceptibility to life-threatening infections and interruption of their cancer or usual medical care.
T43 5362-5541 Sentence denotes Hence, oncologists have faced a major challenge to balance the delivery of high-quality continuous unfragmented cancer care with minimizing patients’ risk of exposure during care.
T44 5542-5915 Sentence denotes The negative impact of the pandemic is likely to be greater in low and middle income countries with limited resources, poor infrastructure, shortage of health care providers and organized care teams, scarcity of medical supplies and personal protective equipment (PPE), and poor access to technology12-14—resulting in a lack of ability to provide and deliver critical care.
T45 5916-6091 Sentence denotes The responses of oncology centers to the pandemic and interventions implemented were reported on a limited scale by different centers, and reporting was done in general terms.
T46 6092-6224 Sentence denotes To our knowledge, there is no systematic study that assessed these responses and the impact of the COVID-19 pandemic on cancer care.
T47 6225-6412 Sentence denotes Our study aimed to evaluate the response of oncology centers and services to the pandemic at a global level and to assess the impact on cancer care delivery and implemented interventions.
T48 6414-6421 Sentence denotes METHODS
T49 6423-6452 Sentence denotes Study Design and Participants
T50 6453-6711 Sentence denotes This cross-sectional study was conducted by a consortium of researchers from different countries aiming to measure the patterns of cancer care during the COVID-19 pandemic and quantify the impact of the pandemic on various components of cancer care delivery.
T51 6712-6848 Sentence denotes The survey included questions to assess the performance of oncology centers in different countries in response to the COVID-19 pandemic.
T52 6849-6984 Sentence denotes The tool evaluated cancer services management during the crisis and the perception of oncologists about the potential harm to patients.
T53 6985-7293 Sentence denotes The survey was disseminated electronically using the SurveyMonkey platform (SurveyMonkey, San Mateo, CA) and targeted a convenience sample of individuals identified as key informants in their institutions who were aware of the management and updates about oncology practices and services during the pandemic.
T54 7294-7376 Sentence denotes SurveyMonkey was chosen by the research team for its advanced design capabilities.
T55 7377-7504 Sentence denotes The key informants were senior oncologists who were active in the global oncology community and had a good network of contacts.
T56 7505-7602 Sentence denotes We targeted oncologists who were involved in clinical care and aware of their center information.
T57 7603-7708 Sentence denotes They were selected from different geographical regions and continents and acted as regional coordinators.
T58 7709-7845 Sentence denotes The regional coordinators invited country coordinators to disseminate the survey to the targeted participants in their respective areas.
T59 7846-7887 Sentence denotes Patients were not involved in this study.
T60 7889-7920 Sentence denotes Procedures and Study Instrument
T61 7921-8221 Sentence denotes The data collection instrument (online survey) consisted of 51 English-language questions developed by the research team, which was composed of oncologists and research methodologists who have monitored cancer care and tracked key cancer care indicators across countries during the COVID-19 pandemic.
T62 8222-8373 Sentence denotes Content validity of the instrument was assessed by presenting it to a group of eight experts (six oncologists, an epidemiologist, and a nurse manager).
T63 8374-8540 Sentence denotes The group evaluated the relevance and appropriateness of each item of the scale, and a content validity ratio (0.79) and content validity index (0.87) were generated.
T64 8541-8605 Sentence denotes All changes were corrected as suggested by the panel of experts.
T65 8606-8827 Sentence denotes The obtained final version of the tool was further piloted on a sample of physicians who worked with patients with cancer in different institutions (n = 20) to ensure that all the items used were clear and understandable.
T66 8828-9922 Sentence denotes The online survey included characteristics of the surveyed centers (location of the center, type of services offered, and number of new patients served annually), interruption of cancer care (reasons for interrupting usual care and reducing or discontinuing services and access to products and medications), potential harm to patients as a result of interrupting services (missing treatment, cancellation of clinic visits, seeking care elsewhere, and type of harm that may have affected the patients), diagnosis and management of COVID-19 (diagnosed cases in the city, diagnosed patients without cancer, diagnosed patients with cancer, diagnosed cancer center staff, availability of PPE, and availability of practice guidelines for COVID-19 diagnosis and management), and virtual management of patients with cancer and remote care (availability of tumor boards, availability and management of virtual tumor boards, availability and management of virtual clinics, possibility of persistence of these services after the pandemic subsides, and dissemination of medication to patients with cancer).
T67 9923-10141 Sentence denotes The questions for this study were adapted from a literature review of the topic being measured, and respondents familiar with the concept of cancer care management were interviewed to help to generate instrument items.
T68 10142-10270 Sentence denotes Content validity of the constructed instrument was ensured by the judgment of experts on the relevancy and clarity of the items.
T69 10271-10345 Sentence denotes SurveyMonkey was used to disseminate the survey and compile the responses.
T70 10347-10360 Sentence denotes Data Analysis
T71 10361-10411 Sentence denotes Responses were collected anonymously and recorded.
T72 10412-10580 Sentence denotes Upon completion of the data collection process, data were imported from SurveyMonkey into Stata 14.0 software (StataCorp, College Station, TX) for statistical analysis.
T73 10581-10662 Sentence denotes Descriptive analyses to examine the characteristics of the sample were performed.
T74 10663-10792 Sentence denotes Means, standard deviations, and frequencies with their corresponding 95% CIs were reported for every surveyed cancer institution.
T75 10793-10976 Sentence denotes Ethical approval was obtained from the institutional review board at King Abdullah International Medical Research Center at the King Saud bin Abdulaziz University for Health Sciences.
T76 10977-11321 Sentence denotes Comparative analysis was conducted to compare the severity of the pandemic impact on the centers based on the World Bank income classification of the responding countries, such as interruption of care, access to PPE and medications, use of virtual technology to run clinic visits or tumor boards, and delivery of medications to patients’ homes.
T77 11323-11330 Sentence denotes RESULTS
T78 11331-11442 Sentence denotes Between April 21 and May 8, 2020, responses were obtained from 356 centers from 54 countries on six continents:
T79 11443-11517 Sentence denotes Africa, Asia, Australia, Europe, North America, and South America (Fig 1).
T80 11518-11669 Sentence denotes Table 1 lists the characteristics of the participating centers, which shows representation of various countries, type of cancer services, and capacity.
T81 11670-11775 Sentence denotes The reported number of new patients with cancer served in the participating centers was 716,979 per year.
T82 11776-11831 Sentence denotes FIG 1 Number of the participating centers per country.
T83 11832-12021 Sentence denotes TABLE 1 Characteristics of Participating Centers Variable extent of service disruption was reported from some centers remaining fully functional as usual to others being completely closed.
T84 12022-12347 Sentence denotes The majority of the centers (88.2%) reduced their usual level of care, and more than half (55.34%) of the reduction was a precautionary measure; however, in many cases, the disruption was due to other causes, such as an overwhelmed system (19.94%), staff shortage (17.98%), and lack of access to medications (9.83%; Table 2).
T85 12348-12569 Sentence denotes TABLE 2 Disruption of Cancer Care Services and Reasons for the Disruption Many patients missed chemotherapy sessions, with 46.35% of the centers reporting that more than 10% of their patients missed at least one session.
T86 12570-12660 Sentence denotes As expected, many centers reduced their outpatient visits and switched to virtual clinics.
T87 12661-12757 Sentence denotes Patients in many centers (58.15%) did not have the option of seeking care outside their centers.
T88 12758-12979 Sentence denotes Participants reported the exposure of a significant fraction of patients to harm either from interruption of cancer-specific care or from interruption of care for other diseases (36.52% and 39.05%, respectively; Table 3).
T89 12980-13047 Sentence denotes The reported harm estimates ranged from < 1% up to 80% of patients.
T90 13048-13245 Sentence denotes TABLE 3 Potential Harms to Patients Reported by Participants Cases of a confirmed COVID-19 diagnosis among patients were reported in 53.93% of the centers and among staff in 44.38% of the centers.
T91 13246-13304 Sentence denotes Shortage of PPE was reported in multiple centers (48.31%).
T92 13305-13418 Sentence denotes Physicians followed different guidelines for patient management and prioritization during the pandemic (Table 4).
T93 13419-13660 Sentence denotes TABLE 4 Diagnosis of COVID-19 and Infection Control Management Most centers implemented virtual clinics and virtual tumor boards (77.53% and 84.27%, respectively), and many believed that these changes will remain active beyond the pandemic.
T94 13661-13786 Sentence denotes Remote care included performing routine laboratory tests close to patients’ homes and shipping medications to them (Table 5).
T95 13787-13900 Sentence denotes At the time of completing the survey, only 16% of the centers reported that work is back to prepandemic baseline.
T96 13901-14209 Sentence denotes TABLE 5 Virtual Services and Remote Care Provided by Participating Centers During the Pandemic The severity of the pandemic impact on different aspects of care varied on the basis of the country level of income per World Bank stratifications, revealing a worse impact in centers of lower-resource countries.
T97 14210-14313 Sentence denotes Lack of PPE, access to medications, and estimated exposure to harm was worse in lower-income countries.
T98 14314-14513 Sentence denotes Furthermore, the centers in these countries were less likely to hold virtual tumor boards, run virtual clinics, do laboratory tests near patients’ homes, or deliver medications to patients (Table 6).
T99 14514-14619 Sentence denotes TABLE 6 Impact of COVID-19 Pandemic on Cancer Care Per World Bank Statification of Country Income Levels
T100 14621-14631 Sentence denotes DISCUSSION
T101 14632-14733 Sentence denotes Our study demonstrated the far-reaching impact of the COVID-19 pandemic on cancer services worldwide.
T102 14734-14934 Sentence denotes Most of the centers faced challenges in maintaining the same level of care as before the pandemic, and therefore, they reduced or adjusted their services to different degrees using various approaches.
T103 14935-15056 Sentence denotes The main reason to reduce services was a precautionary measure to minimize patient visits and maintain social distancing.
T104 15057-15956 Sentence denotes These are prudent actions recommended by many of the published guidelines and recommendations on managing patients with cancer during this pandemic.15-19 Many of these guidelines were made to the best judgment of authors and based on anecdotal experience as well as reports from frontline oncologists in the current pandemic or from those who had previous experience in infectious outbreaks such as Middle East respiratory syndrome and severe acute respiratory syndrome.20 However, because there were many unknown facts about the pandemic and how it would affect an individual country or even an individual institution—in addition to the inherent heterogeneity of patients with cancer and health care systems—many arbitrary decisions were made, and the impact of these decisions on patients care and outcome deserves further investigation to help to create an evidence-based approach for the future.
T105 15957-16229 Sentence denotes On the other hand, there were other involuntary causes for reducing the level of care provided that are worth reflecting on to avoid them or at least minimize their impact during any future crisis, including staff shortage, PPE shortage, and lack of access to medications.
T106 16230-16822 Sentence denotes As frontline fighters of the pandemic, it is critical to manage health care staff well during the crisis and to be able to deliver care to all patients and prevent patients from exposure to different harms, such as infection, emotional disorders, and burnout.21,22 Shortage of PPE is a major concern because it exposes patients and health care staff to risk of infection or treatment interruption, compromises patient care, and leads to stress and discontent among staff.23 Addressing this issue requires a multilayered approach from all stakeholders, including the country’s government.24-27
T107 16823-16995 Sentence denotes Managing medication formulary during a crisis is an essential function of organization leaders to ensure continuity of delivery of timely treatment to patients with cancer.
T108 16996-17317 Sentence denotes Pharmacy management should ensure that an adequate supply for cancer and noncancer medications is maintained.28 Major regulatory agencies, such as the US Food and Drug Administration and European Medicines Agency as well as the United Nations, have initiatives and guides to address drug shortages during a pandemic.28-31
T109 17318-17533 Sentence denotes With more than a third of the participants reporting potential harms to patients with cancer from the disruption of usual care, some centers reported that up to 80% of their patients had exposure to potential harms.
T110 17534-17662 Sentence denotes Although these numbers varied among centers, patient harm was certainly encountered by many oncologists because of the pandemic.
T111 17663-17927 Sentence denotes The exact magnitude should be determined with time and future systematic studies because there are different risks of harm, including issues related to cancer management and noncancer-related management of other medical conditions that affect patients with cancer.
T112 17928-18224 Sentence denotes The spectrum of cancer-related harm is wide and includes halting screen-ing and prevention efforts, delaying timely diagnosis and staging of new patients, delaying initiation of therapy, interrupting ongoing treatment, delivering suboptimal palliative care, and disrupting clinical research.32,33
T113 18225-18416 Sentence denotes Limitations of the study include capturing the information in the midst of a pandemic, with variation in its severity in these countries and the full picture of pandemic impact still unclear.
T114 18417-18620 Sentence denotes However, this study is important to paint the status of cancer care at a global level and will serve as a baseline for follow-up to assess the long-term effect of the pandemic on cancer care and outcome.
T115 18621-18879 Sentence denotes The study was completed by experts from these centers who provided their best estimates of certain data, such as patient harm, but this information is not backed by actual data, which are needed in future studies to get a better measurement of the real harm.
T116 18880-19110 Sentence denotes In addition, participation in this study was voluntary and may have been skewed because responding physicians are willing to share information while nonresponding physicians may not be willing or able to do so for various reasons.
T117 19111-19705 Sentence denotes The study may not have adequate representation from certain regions in the world such as sub-Saharan Africa and other regions, but the sample size helped us to perform an analysis that enabled us to draw plausible conclusions about the challenges encountered in poor countries with limited resources, emphasizing previous reports by others.12,14,34 Of note, scarcity of resources during the peak of the pandemic was encountered even in affluent countries with overwhelmed health care systems, which raises the need for a structured approach to resource management during such crises.24,27,35,36
T118 19706-19987 Sentence denotes As the pandemic evolves, we are gaining new knowledge and adjusting some older approaches, and this is valuable for the oncology field and health care systems in general.37 What we are sure of is that a new normal of health care, including oncology, will emerge after the pandemic.
T119 19988-20146 Sentence denotes This new normal will involve more remote care; care closer to home; and more use of technology in care delivery, research, education, and business management.
T120 20147-20400 Sentence denotes In addition, we may find that omitting cycles in maintenance therapy or fewer patient office visits or surveillance tests may not have a negative impact on outcome, although this will need prospective evaluation with properly conducted clinical studies.
T121 20401-20714 Sentence denotes Telehealth and digital health in oncology can be an excellent tool for real-time video consultations for primary care triage and interventions, such as counseling, medication prescribing and management, management of long-term treatment, and postdischarge coordination supported by remote monitoring capabilities.
T122 20715-20916 Sentence denotes It can be also a useful tool for wellness interventions and in areas such as health education, physical activity, diet monitoring, health risk assessment, medication adherence, and cognitive fitness.38
T123 20917-21019 Sentence denotes Lessons learned from this pandemic should be become an integral part of the new normal of health care.
T124 21020-21158 Sentence denotes The integration of cancer care as a part of the institutional emergency preparedness plan will improve patient outcomes in similar crises.
T125 21159-21281 Sentence denotes The cancer care continuum should have a major component of effectively managing patients during pandemics or major crises.
T126 21282-21724 Sentence denotes Thus, we not only avoid harms in any future pandemic but also use the momentum gained from the current one to improve overall health care delivery for our patients and enhance the quality of care across borders by large-scale collaborations among cancer care stakeholders.38 These collaborations and initiatives should aim to close the global gap in cancer care created by the disparity in access to resources and exacerbated by the pandemic.
T127 21725-21916 Sentence denotes This can be achieved by a multipronged approach, including the use of technology and other innovative approaches to improve care not just across borders but even within the same country.39-42
T128 21918-22005 Sentence denotes Written on behalf the International Research Network on COVID-19 Impact on Cancer Care.
T129 22007-22021 Sentence denotes ACKNOWLEDGMENT
T130 22022-22239 Sentence denotes We thank all the participants and sites who participated as part of the International Research Network on COVID-19 Impact on Cancer Care (see the Data Supplement for a list of all contributors and their affiliations).
T131 22241-22261 Sentence denotes AUTHOR CONTRIBUTIONS
T132 22262-22284 Sentence denotes Conception and design:
T133 22285-22477 Sentence denotes Abdul Rahman Jazieh, Hakan Akbulut, Giuseppe Curigliano, Alvaro Rogado, Abdullah Ali Alsharm, Layth Mula-Hussain, Hassan Errihani, Adnan Khattak, Mohammad Omar Farouq Alkaiyat, Christian Rolfo
T134 22478-22518 Sentence denotes Provision of study material or patients:
T135 22519-22530 Sentence denotes All authors
T136 22531-22563 Sentence denotes Collection and assembly of data:
T137 22564-22605 Sentence denotes Mohammad Omar Farouq Alkaiyat, Hoda Jradi
T138 22606-22639 Sentence denotes Data analysis and interpretation:
T139 22640-22746 Sentence denotes Abdul Rahman Jazieh, Hakan Akbulut, Giuseppe Curigliano, Alvaro Rogado, Abdullah Ali Alsharm, Evangelia D.
T140 22747-22882 Sentence denotes Razis, Layth Mula-Hussain, Hassan Errihani, Adnan Khattak, Clarissa Mathias, Mohammad Omar Farouq Alkaiyat, Hoda Jradi, Christian Rolfo
T141 22883-22902 Sentence denotes Manuscript writing:
T142 22903-22914 Sentence denotes All authors
T143 22915-22944 Sentence denotes Final approval of manuscript:
T144 22945-22956 Sentence denotes All authors
T145 22957-22997 Sentence denotes Accountable for all aspects of the work:
T146 22998-23009 Sentence denotes All authors
T147 23011-23066 Sentence denotes AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
T148 23067-23154 Sentence denotes The following represents disclosure information provided by authors of this manuscript.
T149 23155-23223 Sentence denotes All relationships are considered compensated unless otherwise noted.
T150 23224-23265 Sentence denotes Relationships are self-held unless noted.
T151 23266-23317 Sentence denotes I = Immediate Family Member, Inst = My Institution.
T152 23318-23388 Sentence denotes Relationships may not relate to the subject matter of this manuscript.
T153 23389-23527 Sentence denotes For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/go/site/misc/authors.html.
T154 23528-23670 Sentence denotes Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).
T155 23672-23691 Sentence denotes Abdul Rahman Jazieh
T156 23692-23722 Sentence denotes Research Funding: MSD Oncology
T157 23723-23756 Sentence denotes Travel, Accommodations, Expenses:
T158 23757-23790 Sentence denotes AstraZeneca, Bristol Myers Squibb
T159 23792-23811 Sentence denotes Giuseppe Curigliano
T160 23812-23822 Sentence denotes Honoraria:
T161 23823-23838 Sentence denotes Ellipses Pharma
T162 23839-23867 Sentence denotes Consulting or Advisory Role:
T163 23868-24051 Sentence denotes Roche, Genentech, Pfizer, Novartis, Eli Lilly, Foundation Medicine, Bristol Myers Squibb, Samsung, AstraZeneca, Daiichi Sankyo, Boehringer Ingelheim, GlaxoSmithKline, Seattle Genetics
T164 24052-24069 Sentence denotes Speakers’ Bureau:
T165 24070-24161 Sentence denotes Roche, Genentech, Novartis, Pfizer, Eli Lilly, Foundation Medicine, Samsung, Daiichi Sankyo
T166 24162-24179 Sentence denotes Research Funding:
T167 24180-24192 Sentence denotes Merck (Inst)
T168 24193-24226 Sentence denotes Travel, Accommodations, Expenses:
T169 24227-24251 Sentence denotes Roche, Genentech, Pfizer
T170 24253-24265 Sentence denotes Evangelia D.
T171 24266-24271 Sentence denotes Razis
T172 24272-24300 Sentence denotes Consulting or Advisory Role:
T173 24301-24342 Sentence denotes AstraZeneca, Bristol Myers Squibb, Pfizer
T174 24343-24360 Sentence denotes Research Funding:
T175 24361-24458 Sentence denotes Novartis, Demo Pharmaceutical, Celldex, PAREXEL, Tesaro, Anabiosis Pharmaceuticals, Radius Health
T176 24459-24492 Sentence denotes Travel, Accommodations, Expenses:
T177 24493-24566 Sentence denotes Genesis Pharmaceuticals, LEO Pharma, Roche, Genekor, Merck, Ipsen, Sanofi
T178 24568-24583 Sentence denotes Hassan Errihani
T179 24584-24612 Sentence denotes Consulting or Advisory Role:
T180 24613-24638 Sentence denotes Pfizer, Roche, MSD, Merck
T181 24639-24656 Sentence denotes Speakers’ Bureau:
T182 24657-24672 Sentence denotes Novartis, Amgen
T183 24673-24690 Sentence denotes Research Funding:
T184 24691-24696 Sentence denotes Roche
T185 24697-24730 Sentence denotes Travel, Accommodations, Expenses:
T186 24731-24764 Sentence denotes Pierre Fabre (Inst), Merck (Inst)
T187 24766-24776 Sentence denotes Roselle B.
T188 24777-24786 Sentence denotes De Guzman
T189 24787-24797 Sentence denotes Honoraria:
T190 24798-24899 Sentence denotes Roche Oncology (Philippines), AstraZeneca, Novartis, Merck Serono, MSD Oncology, Boehringer Ingelheim
T191 24900-24928 Sentence denotes Consulting or Advisory Role:
T192 24929-25003 Sentence denotes Roche, Novartis, Boehringer Ingelheim, AstraZeneca, Centus Biotherapeutics
T193 25004-25037 Sentence denotes Travel, Accommodations, Expenses:
T194 25038-25164 Sentence denotes Hospira (Philippines), Roche (Philippines), Merck Sharp & Dohme, Eisai, Boehringer Ingelheim, AstraZeneca, Eli Lilly, Novartis
T195 25166-25181 Sentence denotes Christian Rolfo
T196 25182-25210 Sentence denotes Consulting or Advisory Role:
T197 25211-25270 Sentence denotes Mylan, Archer Biosciences, Oncompass, Inivata, Merck Serono
T198 25271-25288 Sentence denotes Speakers’ Bureau:
T199 25289-25354 Sentence denotes Novartis, MSD, Boehringer Ingelheim, Guardant Health, AstraZeneca
T200 25355-25372 Sentence denotes Research Funding:
T201 25373-25412 Sentence denotes Lung Cancer Research Foundation, Pfizer
T202 25413-25446 Sentence denotes Travel, Accommodations, Expenses:
T203 25447-25458 Sentence denotes AstraZeneca
T204 25459-25487 Sentence denotes Uncompensated Relationships:
T205 25488-25522 Sentence denotes OncoDNA, Biomark, Guardant Health,
T206 25523-25578 Sentence denotes No other potential conflicts of interest were reported.

2_test

Id Subject Object Predicate Lexical cue
32986516-24001762-58490036 2262-2263 24001762 denotes 2
32986516-31995857-58490037 4179-4180 31995857 denotes 3
32986516-32081636-58490037 4179-4180 32081636 denotes 3
32986516-32074416-58490038 4263-4264 32074416 denotes 6
32986516-32091533-58490038 4263-4264 32091533 denotes 6
32986516-32282023-58490039 5138-5140 32282023 denotes 10
32986516-32243287-58490040 5841-5843 32243287 denotes 12
32986516-32550822-58490040 5841-5843 32550822 denotes 12
32986516-32220659-58490041 15205-15207 32220659 denotes 15
32986516-32395672-58490041 15205-15207 32395672 denotes 15
32986516-32242095-58490041 15205-15207 32242095 denotes 15
32986516-32325021-58490042 16492-16494 32325021 denotes 22
32986516-32212516-58490043 16817-16819 32212516 denotes 24
32986516-32416784-58490043 16817-16819 32416784 denotes 24
32986516-32221579-58490043 16817-16819 32221579 denotes 24
32986516-32196543-58490043 16817-16819 32196543 denotes 24
32986516-32339482-58490044 18222-18224 32339482 denotes 33
32986516-32243287-58490045 19451-19453 32243287 denotes 12
32986516-32439872-58490046 19457-19459 32439872 denotes 34
32986516-32212516-58490047 19694-19696 32212516 denotes 24
32986516-32196543-58490048 19697-19699 32196543 denotes 27
32986516-32289312-58490049 19703-19705 32289312 denotes 36
32986516-32424196-58490050 19876-19878 32424196 denotes 37
32986516-32264957-58490051 20914-20916 32264957 denotes 38
32986516-32264957-58490052 21554-21556 32264957 denotes 38
32986516-32452031-58490053 21911-21913 32452031 denotes 39