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PMC:7134578 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 12-18 Disease denotes cancer MESH:D009369
3 35-43 Disease denotes COVID-19 MESH:C000657245
23 701-707 Species denotes people Tax:9606
24 789-797 Species denotes patients Tax:9606
25 1117-1125 Species denotes patients Tax:9606
26 1257-1265 Species denotes patients Tax:9606
27 116-125 Disease denotes mortality MESH:D003643
28 148-156 Disease denotes COVID-19 MESH:C000657245
29 368-377 Disease denotes mortality MESH:D003643
30 426-442 Disease denotes multiple myeloma MESH:D009101
31 446-466 Disease denotes type of blood cancer MESH:D007022
32 593-601 Disease denotes COVID-19 MESH:C000657245
33 740-746 Disease denotes cancer MESH:D009369
34 782-788 Disease denotes cancer MESH:D009369
35 803-811 Disease denotes COVID-19 MESH:C000657245
36 812-821 Disease denotes infection MESH:D007239
37 930-935 Disease denotes death MESH:D003643
38 1210-1218 Disease denotes COVID-19 MESH:C000657245
39 1219-1228 Disease denotes infection MESH:D007239
40 1250-1256 Disease denotes cancer MESH:D009369
41 1340-1346 Disease denotes cancer MESH:D009369
44 1414-1420 Disease denotes cancer MESH:D009369
45 1437-1445 Disease denotes COVID-19 MESH:C000657245
51 1664-1675 Species denotes coronavirus Tax:11118
52 1484-1490 Disease denotes cancer MESH:D009369
53 1603-1609 Disease denotes cancer MESH:D009369
54 1610-1619 Disease denotes mortality MESH:D003643
55 1723-1730 Disease denotes cancers MESH:D009369
57 1989-1995 Species denotes people Tax:9606
62 2400-2417 Species denotes Novel Coronavirus Tax:2697049
63 2422-2430 Disease denotes COVID-19 MESH:C000657245
64 2431-2440 Disease denotes infection MESH:D007239
65 2680-2688 Disease denotes COVID-19 MESH:C000657245
67 3401-3407 Species denotes people Tax:9606
70 3635-3656 Disease denotes coronavirus infection MESH:D018352
71 3712-3720 Disease denotes COVID-19 MESH:C000657245
79 4105-4113 Species denotes patients Tax:9606
80 4145-4153 Disease denotes diabetes MESH:D003920
81 4155-4161 Disease denotes cancer MESH:D009369
82 4167-4186 Disease denotes infectious diseases MESH:D003141
83 4360-4366 Disease denotes cancer MESH:D009369
84 4442-4448 Disease denotes cancer MESH:D009369
85 4547-4552 Disease denotes death MESH:D003643
93 4626-4638 Species denotes participants Tax:9606
94 4707-4715 Species denotes patients Tax:9606
95 4883-4891 Species denotes patients Tax:9606
96 4652-4660 Disease denotes COVID-19 MESH:C000657245
97 4673-4679 Disease denotes cancer MESH:D009369
98 4835-4840 Disease denotes death MESH:D003643
99 4983-4989 Disease denotes cancer MESH:D009369
105 5143-5151 Disease denotes COVID-19 MESH:C000657245
106 5152-5157 Disease denotes death MESH:D003643
107 5239-5256 Disease denotes diabetes mellitus MESH:D003920
108 5261-5277 Disease denotes multiple myeloma MESH:D009101
109 5281-5301 Disease denotes type of blood cancer MESH:D007022
113 5506-5514 Species denotes patients Tax:9606
114 5499-5505 Disease denotes cancer MESH:D009369
115 5545-5553 Disease denotes infected MESH:D007239
118 5604-5612 Disease denotes COVID-19 MESH:C000657245
119 5616-5622 Disease denotes cancer MESH:D009369
133 5989-5997 Species denotes patients Tax:9606
134 6159-6167 Species denotes patients Tax:9606
135 5672-5678 Disease denotes cancer MESH:D009369
136 5703-5709 Disease denotes Cancer MESH:D009369
137 5862-5868 Disease denotes cancer MESH:D009369
138 6003-6009 Disease denotes cancer MESH:D009369
139 6025-6039 Disease denotes chest symptoms MESH:D051271
140 6046-6060 Disease denotes breathlessness MESH:D004417
141 6069-6084 Disease denotes lung metastases MESH:D009362
142 6135-6143 Disease denotes COVID-19 MESH:C000657245
143 6144-6153 Disease denotes infection MESH:D007239
144 6173-6179 Disease denotes cancer MESH:D009369
145 6254-6260 Disease denotes cancer MESH:D009369
149 6422-6428 Disease denotes cancer MESH:D009369
150 6615-6621 Disease denotes cancer MESH:D009369
151 6752-6759 Disease denotes cancers MESH:D009369
159 7201-7209 Species denotes patients Tax:9606
160 7440-7445 Species denotes human Tax:9606
161 7239-7246 Disease denotes cancers MESH:D009369
162 7258-7266 Disease denotes COVID-19 MESH:C000657245
163 7376-7382 Disease denotes cancer MESH:D009369
164 7620-7628 Disease denotes infected MESH:D007239
165 7711-7719 Disease denotes COVID-19 MESH:C000657245
168 7801-7809 Disease denotes COVID 19 MESH:C000657245
169 7821-7827 Disease denotes cancer MESH:D009369
172 7979-7987 Species denotes patients Tax:9606
173 7972-7978 Disease denotes cancer MESH:D009369
177 8175-8183 Species denotes patients Tax:9606
178 8168-8174 Disease denotes cancer MESH:D009369
179 8530-8536 Disease denotes cancer MESH:D009369
190 8640-8648 Species denotes patients Tax:9606
191 8761-8769 Species denotes patients Tax:9606
192 8859-8867 Species denotes patients Tax:9606
193 9317-9323 Species denotes people Tax:9606
194 9394-9402 Species denotes patients Tax:9606
195 8948-8956 Disease denotes COVID-19 MESH:C000657245
196 8957-8966 Disease denotes infection MESH:D007239
197 8979-8988 Disease denotes infection MESH:D007239
198 9001-9007 Disease denotes cancer MESH:D009369
199 9217-9223 Disease denotes cancer MESH:D009369
205 9633-9641 Species denotes patients Tax:9606
206 9961-9969 Species denotes patients Tax:9606
207 9558-9564 Disease denotes Cancer MESH:D009369
208 9954-9960 Disease denotes cancer MESH:D009369
209 10237-10245 Disease denotes COVID-19 MESH:C000657245
212 10658-10666 Species denotes patients Tax:9606
213 10694-10702 Species denotes patients Tax:9606
215 10846-10857 Species denotes coronavirus Tax:11118
218 10893-10910 Disease denotes Palliative cancer MESH:D009369
219 10927-10935 Disease denotes COVID-19 MESH:C000657245
222 11655-11663 Species denotes patients Tax:9606
223 11669-11677 Disease denotes COVID-19 MESH:C000657245
225 11818-11826 Species denotes patients Tax:9606
228 11988-11996 Species denotes patients Tax:9606
229 12002-12008 Disease denotes cancer MESH:D009369
234 11055-11063 Species denotes patients Tax:9606
235 11129-11135 Species denotes people Tax:9606
236 11048-11054 Disease denotes cancer MESH:D009369
237 11141-11147 Disease denotes cancer MESH:D009369
242 12112-12120 Disease denotes COVID-19 MESH:C000657245
243 12196-12202 Disease denotes deaths MESH:D003643
244 12208-12216 Disease denotes COVID-19 MESH:C000657245
245 12349-12355 Disease denotes cancer MESH:D009369
247 12879-12888 Disease denotes infection MESH:D007239
260 13040-13046 Species denotes people Tax:9606
261 13575-13583 Species denotes patients Tax:9606
262 13807-13813 Species denotes people Tax:9606
263 12933-12954 Disease denotes coronavirus infection MESH:D018352
264 13059-13065 Disease denotes cancer MESH:D009369
265 13141-13147 Disease denotes cancer MESH:D009369
266 13246-13251 Disease denotes death MESH:D003643
267 13365-13383 Disease denotes infectious disease MESH:D003141
268 13458-13466 Disease denotes COVID-19 MESH:C000657245
269 13467-13476 Disease denotes infection MESH:D007239
270 13484-13490 Disease denotes cancer MESH:D009369
271 13828-13834 Disease denotes cancer MESH:D009369

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 454-459 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T2 5289-5294 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T3 6025-6030 Body_part denotes chest http://purl.org/sig/ont/fma/fma9576
T4 6069-6073 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 454-459 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T2 5289-5294 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T3 6025-6030 Body_part denotes chest http://purl.obolibrary.org/obo/UBERON_0001443
T4 6069-6073 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048

LitCovid_AGAC

Id Subject Object Predicate Lexical cue
p98252s5 2886-2893 NegReg denotes reduced

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 12-18 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T2 35-43 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 148-156 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 426-442 Disease denotes multiple myeloma http://purl.obolibrary.org/obo/MONDO_0009693
T5 435-442 Disease denotes myeloma http://purl.obolibrary.org/obo/MONDO_0005170
T6 454-466 Disease denotes blood cancer http://purl.obolibrary.org/obo/MONDO_0002334
T7 460-466 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T8 593-601 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 740-746 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T10 782-788 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T11 803-811 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T12 812-821 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T13 1210-1218 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T14 1219-1228 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T15 1250-1256 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T16 1340-1346 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T17 1414-1420 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T18 1437-1445 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 1484-1490 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T20 1603-1609 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T21 2422-2430 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 2431-2440 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T23 2680-2688 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T24 3647-3656 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T25 3712-3720 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 4145-4153 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T27 4155-4161 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T28 4167-4177 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T29 4360-4366 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T30 4442-4448 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T31 4652-4660 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 4673-4679 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T33 4983-4989 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T34 5143-5151 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T35 5239-5256 Disease denotes diabetes mellitus http://purl.obolibrary.org/obo/MONDO_0005015
T36 5261-5277 Disease denotes multiple myeloma http://purl.obolibrary.org/obo/MONDO_0009693
T37 5270-5277 Disease denotes myeloma http://purl.obolibrary.org/obo/MONDO_0005170
T38 5289-5301 Disease denotes blood cancer http://purl.obolibrary.org/obo/MONDO_0002334
T39 5295-5301 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T40 5338-5340 Disease denotes he http://purl.obolibrary.org/obo/MONDO_0017319
T41 5499-5505 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T42 5604-5612 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 5616-5622 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T44 5672-5678 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T45 5703-5709 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T46 5862-5868 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T47 6003-6009 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T48 6135-6143 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T49 6144-6153 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T50 6173-6179 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T51 6254-6260 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T52 6422-6428 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T53 6615-6621 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T54 7258-7266 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T55 7376-7382 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T56 7711-7719 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T57 7801-7809 Disease denotes COVID 19 http://purl.obolibrary.org/obo/MONDO_0100096
T58 7821-7827 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T59 7972-7978 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T60 8168-8174 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T61 8530-8536 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T62 8948-8956 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T63 8957-8966 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T64 8979-8988 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T65 9001-9007 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T66 9217-9223 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T67 9558-9564 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T68 9954-9960 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T69 10237-10245 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T70 10904-10910 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T71 10927-10935 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T72 11048-11054 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T73 11141-11147 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T74 11669-11677 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T75 12002-12008 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T76 12112-12120 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T77 12208-12216 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T78 12349-12355 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T79 12879-12888 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T80 12945-12954 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T81 13059-13065 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T82 13141-13147 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T83 13365-13383 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T84 13458-13466 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T85 13467-13476 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T86 13484-13490 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T87 13828-13834 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 201-203 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T2 249-252 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T3 302-303 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 390-391 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 413-414 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 444-445 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 454-459 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T8 454-459 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T9 611-614 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T10 639-649 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T11 826-827 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 851-852 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 1083-1090 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T14 1180-1181 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 1548-1549 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 1887-1897 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T17 2020-2021 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T18 2298-2302 http://purl.obolibrary.org/obo/PR_000001318 denotes sell
T19 2566-2567 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 2639-2642 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T21 2689-2692 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T22 2712-2722 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T23 2773-2776 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T24 2788-2789 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 2982-2983 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 3051-3054 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T27 3185-3186 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 3260-3261 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 3348-3349 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 3597-3602 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T31 3671-3681 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T32 3759-3760 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 4012-4013 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 4304-4314 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T35 4330-4331 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 4567-4568 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 4623-4625 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T38 4671-4672 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 4981-4982 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 5158-5161 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T41 5203-5204 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T42 5226-5227 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T43 5279-5280 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 5289-5294 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T45 5289-5294 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T46 5572-5573 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 5893-5894 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T48 6025-6030 http://www.ebi.ac.uk/efo/EFO_0000965 denotes chest
T49 6069-6073 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T50 6069-6073 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T51 7006-7007 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T52 7112-7117 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T53 7147-7148 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T54 7210-7211 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 7315-7316 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T56 7430-7431 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 7440-7445 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T58 7647-7661 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization’s
T59 7732-7746 http://purl.obolibrary.org/obo/UBERON_0000982 denotes articulated in
T60 7732-7746 http://purl.obolibrary.org/obo/UBERON_0004905 denotes articulated in
T61 7799-7800 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 7921-7922 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 7993-7994 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 8484-8485 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T65 8699-8706 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T66 9116-9117 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 9532-9539 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T68 9599-9606 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T69 9692-9693 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 9762-9769 http://www.ebi.ac.uk/efo/EFO_0000881 denotes Digital
T71 10059-10060 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 10128-10135 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T73 10611-10612 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 10743-10744 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T75 10812-10826 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization’s
T76 11067-11068 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T77 11079-11081 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T78 11195-11196 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T79 11207-11209 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T80 11232-11233 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T81 11550-11557 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T82 11960-11961 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 12297-12298 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T84 12332-12333 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T85 12663-12664 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T86 12683-12684 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T87 12690-12694 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T88 12969-12979 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T89 13332-13333 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T90 13426-13427 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T91 13627-13634 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T92 13685-13692 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 839-844 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T2 2894-2899 Chemical denotes sales http://purl.obolibrary.org/obo/CHEBI_24866
T3 4698-4703 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T4 5075-5080 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T5 5126-5131 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T6 5585-5590 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T7 5937-5942 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 12-18 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T2 426-442 Phenotype denotes multiple myeloma http://purl.obolibrary.org/obo/HP_0006775
T3 454-466 Phenotype denotes blood cancer http://purl.obolibrary.org/obo/HP_0001909
T4 740-746 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T5 782-788 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T6 1131-1139 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T7 1250-1256 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T8 1340-1346 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T9 1414-1420 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T10 1484-1490 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T11 1603-1609 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T12 4155-4161 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T13 4360-4366 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T14 4442-4448 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T15 4673-4679 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T16 4983-4989 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T17 5239-5256 Phenotype denotes diabetes mellitus http://purl.obolibrary.org/obo/HP_0000819
T18 5261-5277 Phenotype denotes multiple myeloma http://purl.obolibrary.org/obo/HP_0006775
T19 5289-5301 Phenotype denotes blood cancer http://purl.obolibrary.org/obo/HP_0001909
T20 5499-5505 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T21 5616-5622 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T22 5672-5678 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T23 5703-5709 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T24 5862-5868 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T25 6003-6009 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T26 6173-6179 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T27 6254-6260 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T28 6355-6363 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T29 6422-6428 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T30 6615-6621 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T31 7048-7056 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T32 7376-7382 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T33 7821-7827 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T34 7847-7855 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T35 7972-7978 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T36 8168-8174 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T37 8530-8536 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T38 8543-8551 Phenotype denotes Oncology http://purl.obolibrary.org/obo/HP_0002664
T39 9001-9007 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T40 9217-9223 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T41 9558-9564 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T42 9646-9654 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T43 9716-9724 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T44 9954-9960 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T45 10904-10910 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T46 11048-11054 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T47 11141-11147 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T48 12002-12008 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T49 12349-12355 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T50 13059-13065 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T51 13141-13147 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T52 13352-13360 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T53 13484-13490 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T54 13828-13834 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-52 Sentence denotes Upheaval in cancer care during the COVID-19 outbreak
T2 54-62 Sentence denotes Abstract
T3 63-166 Sentence denotes On Monday, 23 March 2020, Nigeria recorded its first mortality from the novel global COVID-19 outbreak.
T4 167-356 Sentence denotes Before this, the country reported 36 confirmed cases (at the time of writing) and has discharged home two cases after weeks of care at a government-approved isolation centre in Lagos State.
T5 357-467 Sentence denotes This first mortality was that of a 67-year-old man with a history of multiple myeloma, a type of blood cancer.
T6 468-582 Sentence denotes He was undergoing chemotherapy and had just returned to Nigeria following medical treatment in the United Kingdom.
T7 583-747 Sentence denotes The novel COVID-19 pandemic has grounded several global activities including the provision of health care services to people with chronic conditions such as cancer.
T8 748-991 Sentence denotes Evidence from China suggests that cancer patients with COVID-19 infection are a vulnerable group, with a higher risk of severe illness resulting in intensive care unit admissions or death, particularly if they received chemotherapy or surgery.
T9 992-1400 Sentence denotes This letter is an attempt to suggest practicable interventions such as the use of existing digital health platforms to limit patients’ and oncology professionals’ physical interactions as a way of reducing the risk of COVID-19 infection transmission amongst cancer patients and oncologists, as well as outlining effective strategies to ensure that cancer care is not completely disrupted during the outbreak.
T10 1402-1465 Sentence denotes Upheaval in cancer care during the COVID-19 outbreak in Nigeria
T11 1466-1757 Sentence denotes “The way we treat cancer over the next few months will change enormously…” writes a British Oncologist. “…It is highly probable that the cancer mortality and morbidity will rise, not because of the coronavirus pandemic, but because we are not able to treat cancers as we should normally [1].
T12 1758-2019 Sentence denotes In these uncertain times, we are having to make necessary adjustments to social distancing, large religious, academic and social activities are being shut down, with law enforcement agencies stationed in strategic places to ensure people do not gather as usual.
T13 2020-2207 Sentence denotes A recent early morning drive on commercial routes and the ever congested Third Mainland Bridge and Ikorodu Road in Lagos state is smooth with low noise pollution and unusually free roads.
T14 2208-2399 Sentence denotes The agile street entrepreneurs are present but look frustrated because they are unable to sell their wares and products, as there is neither traffic nor the consequent abundance of customers.
T15 2400-2546 Sentence denotes Novel Coronavirus, or COVID-19 infection, entered mainstream consciousness in December 2019 via the media when it first broke out in Wuhan, China.
T16 2547-2679 Sentence denotes It is now becoming a stark global force for many, dominating political decision-making that has direct implications for our liberty.
T17 2680-2850 Sentence denotes COVID-19 has disrupted economic activities around the globe such as trading and shipping and has ushered in a wave of scarcity and panic buying of essential products [2].
T18 2851-2973 Sentence denotes There are other problems including reduced sales revenue, pay cuts and job losses, and disruption of health care services.
T19 2974-3241 Sentence denotes This is a global reality and Lagos state, the commercial hub of the country, has recorded 30 positive cases (at the time of writing) and discharged home two cases after they had received weeks of care whilst at a government-approved isolation centre in the State [3].
T20 3242-3387 Sentence denotes However, there is a strong possibility that there are undetected and asymptomatic cases; hence we may see a significant rise in the coming weeks.
T21 3388-3603 Sentence denotes As expected, people with ill health will present to clinics and emergency wards, and health care workers will continue to be at the frontline of this pandemic whilst being at increased risk of exposure to the virus.
T22 3604-3700 Sentence denotes To control the transmission of coronavirus infection many clinical activities have been reduced.
T23 3701-4095 Sentence denotes Suspicious COVID-19 cases are being identified, following a risk-assessment [4] while confirmed cases are referred or directly picked up for government- supervised isolation in approved facilities, by the Nigeria Centre for Disease Control (NCDC), autopsies are being deferred and some health care workers with a history of contact or exposure are now placed on home supervised self-quarantine.
T24 4096-4254 Sentence denotes Many ill patients too, with conditions including diabetes, cancer, and infectious diseases may be stranded at home or stuck on the wards of health facilities.
T25 4255-4337 Sentence denotes Several clinical, social, academic and religious activities have ground to a halt.
T26 4338-4553 Sentence denotes For those living with cancer, the diseases will continue to grow in the absence of treatment, therefore cancer may spread, develop resistance to treatments, cause multiple complications or, in some instances, death.
T27 4554-4692 Sentence denotes Reports from a nationwide study in China by Wenhua Liang stated that 18 participants out of 1,590 COVID-19 cases had a cancer history [5].
T28 4693-4841 Sentence denotes This group of patients, though small, recorded severe adverse events such as admission to the intensive care unit for invasive ventilation or death.
T29 4842-4955 Sentence denotes These adverse events were most common in patients who had received chemotherapy or surgery within the last month.
T30 4956-5132 Sentence denotes This study reported that a cancer history represented the highest risk for severe events especially in the elderly age group and clinical deterioration was rapid in this group.
T31 5133-5187 Sentence denotes The first COVID-19 death has been recorded in Nigeria.
T32 5188-5302 Sentence denotes It was that of a 67-year-old man with a history of diabetes mellitus and multiple myeloma, a type of blood cancer.
T33 5303-5424 Sentence denotes He was undergoing chemotherapy and he had just returned to Nigeria following medical treatment in the United Kingdom [6].
T34 5425-5591 Sentence denotes Our priority at this time should be to intensify public education amongst cancer patients and limit their risk of being infected as they fall into a vulnerable group.
T35 5593-5632 Sentence denotes Effects of COVID-19 on cancer treatment
T36 5633-5702 Sentence denotes There is no doubt that the delivery of cancer care will be disrupted.
T37 5703-5879 Sentence denotes Cancer clinics may need to reduce clinical appointments, chemotherapy administration encounters, alter radiotherapy schedules, and cancel or postpone elective cancer surgeries.
T38 5880-5959 Sentence denotes There may be a shortage of supplies, non-availability of drugs and consumables.
T39 5960-6154 Sentence denotes Newly diagnosed and existing patients with cancer who experience chest symptoms (e.g. breathlessness) due to lung metastases may be denied care due to heightened suspicion of COVID-19 infection.
T40 6155-6308 Sentence denotes For patients with cancer, these will have huge repercussions on their experience and management of cancer-related symptoms, quality of life and survival.
T41 6309-6462 Sentence denotes According to the American Society of Clinical Oncology(ASCO), “There is no direct evidence to support changes in cancer regimen during the pandemic” [7].
T42 6463-6552 Sentence denotes Therefore, routinely stopping anticancer or immunosuppressive therapy is not recommended.
T43 6553-6702 Sentence denotes There are currently cancellations or postponement of elective cancer surgeries and in the coming days radiotherapy appointments may also be affected.
T44 6703-6990 Sentence denotes Community-based palliative treatment of advanced cancers will also be affected significantly as health care workers are minimising their contacts through social distancing and due to the increase in demand for their expertise in the treatment of confirmed cases in the health facilities.
T45 6991-7040 Sentence denotes Thus, there is a grave impact on disease control.
T46 7041-7276 Sentence denotes For us oncology professionals working in low-resource settings, we are faced with the dilemma of striking a balance between protecting ourselves and giving our patients a good chance to fight their cancers during the COVID-19 outbreak.
T47 7277-7475 Sentence denotes We must tread with caution, as we are a critical workforce, highly trained and skilled in treating cancer, as well as being an endangered specialty with a limited human resource pool in the country.
T48 7476-7629 Sentence denotes This is not the time to be careless in the frontline as we are all at risk and we must do all that is required to reduce our chances of getting infected.
T49 7630-7770 Sentence denotes The World Health Organization’s recommendation for health care providers in this COVID-19 era is well articulated in an online resource [8].
T50 7772-7790 Sentence denotes How do we respond?
T51 7791-7833 Sentence denotes Develop a COVID 19 policy for cancer care:
T52 7834-7963 Sentence denotes Establish an oncology multidisciplinary committee to create, review and rapidly update a clinical policy suitable to our setting.
T53 7964-8096 Sentence denotes Provide cancer patients with a cover note that enables seamless movement if they get stopped by law enforcement agents on the roads.
T54 8097-8159 Sentence denotes Strategise to reduce clinic visits and accelerate remote care:
T55 8160-8385 Sentence denotes Because cancer patients and caregivers are expectedly anxious whether they are symptomatic or not, and their genuine desire for improved survival; they will require information, counselling, symptomatic control and treatment.
T56 8386-8477 Sentence denotes Traditionally this is achieved through hospital visits but can be achieved by telemedicine.
T57 8478-8542 Sentence denotes It is a matter of urgency that we accelerate remote cancer care.
T58 8543-8631 Sentence denotes Oncology centres should within 72 hours transit to delivering 30-50% of services online.
T59 8632-8686 Sentence denotes Empower patients and caregivers through communication:
T60 8687-8790 Sentence denotes Leverage on digital technologies to ensure we continue to communicate, to patients and with each other.
T61 8791-9027 Sentence denotes Bulk text messaging, email and or voice calls can ensure we provide patients with clear communication about how the hospital is responding to and preventing COVID-19 infection and how the infection will affect cancer care going forward.
T62 9028-9092 Sentence denotes This will keep them abreast of happenings and allay their fears.
T63 9093-9250 Sentence denotes For example, establish a clinical call centre manned by administrative and clinical staff knowledgeable in the provision of cancer care and support services.
T64 9251-9403 Sentence denotes This category of responders must be trained in client service and people relations as the bulk of the calls would be from agitated and worried patients.
T65 9404-9513 Sentence denotes This is so that the staff do not react in untoward ways to the emotion-laden calls they are bound to receive.
T66 9514-9557 Sentence denotes Leverage existing digital health platforms:
T67 9558-9761 Sentence denotes Cancer centres should integrate existing digital health platforms to limit patients and oncology professional’s physical interaction, a strategy that several oncology centres in the USA are adopting [9].
T68 9762-9863 Sentence denotes Digital platforms such as www.oncopadi.com already exist and were designed for low-resource settings.
T69 9864-9991 Sentence denotes They can provide telemedicine services, consultations, symptom control and counselling to cancer patients and their caregivers.
T70 9992-10351 Sentence denotes To facilitate the use of telehealth solutions across all contexts, a global directory of telehealth platforms is also being compiled by digital health experts which outlines multiple platforms (many are free) to support care delivery during the COVID-19 outbreak: https://docs.google.com/spreadsheets/d/1XMsJJIduO6yI_GEo1Vy_b_SXoz9YwbgtEL63-siNS_Q/edit#gid=0.
T71 10352-10363 Sentence denotes Administer:
T72 10364-10479 Sentence denotes Continue providing only emergencies and essential services such as radiotherapy under established safety protocols.
T73 10480-10566 Sentence denotes Switch: from systemic therapy to oral chemotherapy, and monitor side effects remotely.
T74 10567-10730 Sentence denotes This should be discussed and agreed upon by a multidisciplinary team and communicated with patients only if the pandemic stops patients from visiting the hospital.
T75 10731-10784 Sentence denotes This may be a better option than no treatment at all.
T76 10785-10891 Sentence denotes Practice: the World Health Organization’s advice on reducing coronavirus transmission for the public [10].
T77 10893-10944 Sentence denotes Palliative cancer care during the COVID-19 outbreak
T78 10945-11083 Sentence denotes Palliation is an ethical obligation and we should strive for good symptom control and comfort care for cancer patients in a pandemic [11].
T79 11084-11457 Sentence denotes To support palliative and supportive care of people with cancer, these proposed four areas (4S) for palliating a pandemic [11] can be used to guide a response but need to be adapted and considered in the context of the availability of resources and expertise in the context of low-resource settings: “Stuff” (i.e. stockpile of medications, equipment to deliver medications)
T80 11458-11678 Sentence denotes “Staff” (identifying and consulting with clinicians with palliative care expertise, deliver focused education sessions to frontline staff for symptom management and supporting end-of-life care for patients with COVID-19)
T81 11679-11843 Sentence denotes “Space” (e.g. identify wards and nonclinical areas in all health care facilities that would be appropriate to accommodate large numbers of patients expected to die)
T82 11844-12058 Sentence denotes “Systems” (e.g. develop systems for direct consultation of palliative care expertise for staff in hospitals, create a triage system to identify patients with cancer in need of specialist palliative care management)
T83 12059-12125 Sentence denotes Bereavement needs to be considered in the context of COVID-19 too.
T84 12126-12217 Sentence denotes Globally we are seeing increasing numbers of unexpected and premature deaths from COVID-19.
T85 12218-12356 Sentence denotes Families will need support with bereavement where they may have been expecting a longer trajectory of illness for a loved one with cancer.
T86 12357-12463 Sentence denotes Furthermore, traditional cultural rituals and ceremonies may be prohibited in line with social distancing.
T87 12464-12662 Sentence denotes We need talk to spiritual leaders to understand what can occur and provide guidance to the families of those who die to discuss how and when they might be able to hold services for their loved ones.
T88 12663-12724 Sentence denotes A time like this is a true test of leadership and our values.
T89 12725-12889 Sentence denotes As leaders we must make clinical and economical decisions in line with the ethical rationing of resources and the global call to flatten the curve of the infection.
T90 12891-12901 Sentence denotes Conclusion
T91 12902-13035 Sentence denotes To control the transmission of coronavirus infection many clinical activities have been reduced in most countries, including Nigeria.
T92 13036-13252 Sentence denotes For people living with cancer, the diseases will continue to grow in the absence of treatment, therefore cancer may spread, develop resistance to treatments, cause multiple complications or, in some instances, death.
T93 13253-13725 Sentence denotes To respond to this important area of critical need, government must constitute a multidisciplinary oncology and infectious disease team to create, review and rapidly update a clinical policy for combating COVID-19 infection during cancer care, strategise to reduce clinic visits and accelerate remote online care, empower patients and caregivers through communication using digital technology interventions and leverage on existing digital health platforms in the country.
T94 13726-14045 Sentence denotes In addition, efforts should be made to support palliative and supportive care of people with advanced cancer during the outbreak by systematically identifying critical areas for consideration and development in the context of the availability of resources and expertise in resource-constrained settings such as Nigeria.
T95 14047-14064 Sentence denotes Funding statement
T96 14065-14128 Sentence denotes The authors declare that they have no funding for this article.
T97 14130-14151 Sentence denotes Conflicts of interest
T98 14152-14232 Sentence denotes The authors declare that they have no conflicts of interest regarding this work.

2_test

Id Subject Object Predicate Lexical cue
32269597-32066541-26439896 4689-4690 32066541 denotes 5

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T1 35-43 SP_7 denotes COVID-19
T2 148-156 SP_7 denotes COVID-19
T3 404-407 NCBITaxon:9606 denotes man
T4 435-442 CL:0000763 denotes myeloma
T5 454-459 UBERON:0000178 denotes blood
T6 593-601 SP_7 denotes COVID-19
T7 701-707 NCBITaxon:9606 denotes people
T8 803-811 SP_7 denotes COVID-19
T9 930-935 GO:0016265 denotes death
T10 1210-1218 SP_7 denotes COVID-19
T11 1437-1445 SP_7 denotes COVID-19
T12 1664-1675 NCBITaxon:11118 denotes coronavirus
T13 1989-1995 NCBITaxon:9606 denotes people
T14 2406-2417 NCBITaxon:11118 denotes Coronavirus
T15 2422-2430 SP_7 denotes COVID-19
T16 2680-2688 SP_7 denotes COVID-19
T17 2734-2739 UBERON:0010230 denotes globe
T18 3401-3407 NCBITaxon:9606 denotes people
T19 3597-3602 NCBITaxon:10239 denotes virus
T20 3607-3614 GO:0065007 denotes control
T21 3635-3646 NCBITaxon:11118 denotes coronavirus
T22 3712-3720 SP_7 denotes COVID-19
T23 4398-4402 GO:0040007 denotes grow
T24 4547-4552 GO:0016265 denotes death
T25 4652-4660 SP_7 denotes COVID-19
T26 4835-4840 GO:0016265 denotes death
T27 5143-5151 SP_7 denotes COVID-19
T28 5152-5157 GO:0016265 denotes death
T29 5217-5220 NCBITaxon:9606 denotes man
T30 5270-5277 CL:0000763 denotes myeloma
T31 5289-5294 UBERON:0000178 denotes blood
T32 5604-5612 SP_7 denotes COVID-19
T33 5937-5942 CHEBI:23888;CHEBI:23888 denotes drugs
T34 6025-6030 UBERON:0001443 denotes chest
T35 6069-6073 UBERON:0002048 denotes lung
T36 6135-6143 SP_7 denotes COVID-19
T37 6290-6294 UBERON:0000104 denotes life
T38 6507-6524 CHEBI:35705;CHEBI:35705 denotes immunosuppressive
T39 7258-7266 SP_7 denotes COVID-19
T40 7440-7445 SP_6;NCBITaxon:9606 denotes human
T41 7711-7719 SP_7 denotes COVID-19
T42 7801-7809 SP_7 denotes COVID 19
T43 8363-8370 GO:0065007 denotes control
T44 8948-8956 SP_7 denotes COVID-19
T45 9317-9323 NCBITaxon:9606 denotes people
T46 9927-9934 GO:0065007 denotes control
T47 10028-10037 CHEBI:75958;CHEBI:75958 denotes solutions
T48 10237-10245 SP_7 denotes COVID-19
T49 10264-10268 CHEBI:50845;CHEBI:50845 denotes docs
T50 10513-10517 UBERON:0000165 denotes oral
T51 10846-10857 NCBITaxon:11118 denotes coronavirus
T52 10927-10935 SP_7 denotes COVID-19
T53 11019-11026 GO:0065007 denotes control
T54 11129-11135 NCBITaxon:9606 denotes people
T55 11445-11456 CHEBI:23888;CHEBI:23888 denotes medications
T56 11638-11640 UBERON:0000323 denotes of
T57 11641-11645 UBERON:0000104 denotes life
T58 11669-11677 SP_7 denotes COVID-19
T59 11839-11842 GO:0016265 denotes die
T63 12112-12120 SP_7 denotes COVID-19
T64 12196-12202 GO:0016265 denotes deaths
T65 12208-12216 SP_7 denotes COVID-19
T66 12577-12580 GO:0016265 denotes die
T67 12905-12912 GO:0065007 denotes control
T68 12933-12944 NCBITaxon:11118 denotes coronavirus
T69 13040-13046 NCBITaxon:9606 denotes people
T70 13097-13101 GO:0040007 denotes grow
T71 13246-13251 GO:0016265 denotes death
T72 13458-13466 SP_7 denotes COVID-19
T73 13807-13813 NCBITaxon:9606 denotes people
T12250 35-43 SP_7 denotes COVID-19
T31293 148-156 SP_7 denotes COVID-19
T88795 404-407 NCBITaxon:9606 denotes man
T14792 435-442 CL:0000763 denotes myeloma
T5187 454-459 UBERON:0000178 denotes blood
T37878 593-601 SP_7 denotes COVID-19
T73236 701-707 NCBITaxon:9606 denotes people
T50773 803-811 SP_7 denotes COVID-19
T23656 930-935 GO:0016265 denotes death
T65910 1210-1218 SP_7 denotes COVID-19
T18720 1437-1445 SP_7 denotes COVID-19
T81927 1664-1675 NCBITaxon:11118 denotes coronavirus
T15312 1989-1995 NCBITaxon:9606 denotes people
T77965 2406-2417 NCBITaxon:11118 denotes Coronavirus
T3701 2422-2430 SP_7 denotes COVID-19
T98542 2680-2688 SP_7 denotes COVID-19
T84340 2734-2739 UBERON:0010230 denotes globe
T28689 3401-3407 NCBITaxon:9606 denotes people
T69351 3597-3602 NCBITaxon:10239 denotes virus
T10189 3607-3614 GO:0065007 denotes control
T4056 3635-3646 NCBITaxon:11118 denotes coronavirus
T46918 3712-3720 SP_7 denotes COVID-19
T51458 4398-4402 GO:0040007 denotes grow
T24569 4547-4552 GO:0016265 denotes death
T75341 4652-4660 SP_7 denotes COVID-19
T41815 4835-4840 GO:0016265 denotes death
T85011 5143-5151 SP_7 denotes COVID-19
T78253 5152-5157 GO:0016265 denotes death
T75315 5217-5220 NCBITaxon:9606 denotes man
T52062 5270-5277 CL:0000763 denotes myeloma
T47279 5289-5294 UBERON:0000178 denotes blood
T99068 5604-5612 SP_7 denotes COVID-19
T8380 5937-5942 CHEBI:23888;CHEBI:23888 denotes drugs
T33902 6025-6030 UBERON:0001443 denotes chest
T6996 6069-6073 UBERON:0002048 denotes lung
T35297 6135-6143 SP_7 denotes COVID-19
T88558 6290-6294 UBERON:0000104 denotes life
T79914 6507-6524 CHEBI:35705;CHEBI:35705 denotes immunosuppressive
T25918 7258-7266 SP_7 denotes COVID-19
T23985 7440-7445 SP_6;NCBITaxon:9606 denotes human
T55243 7711-7719 SP_7 denotes COVID-19
T18909 7801-7809 SP_7 denotes COVID 19
T17827 8363-8370 GO:0065007 denotes control
T82314 8948-8956 SP_7 denotes COVID-19
T48125 9317-9323 NCBITaxon:9606 denotes people
T6845 9927-9934 GO:0065007 denotes control
T29200 10028-10037 CHEBI:75958;CHEBI:75958 denotes solutions
T8652 10237-10245 SP_7 denotes COVID-19
T13900 10264-10268 CHEBI:50845;CHEBI:50845 denotes docs
T37678 10513-10517 UBERON:0000165 denotes oral
T22160 10846-10857 NCBITaxon:11118 denotes coronavirus
T82376 10927-10935 SP_7 denotes COVID-19
T21028 11019-11026 GO:0065007 denotes control
T97688 11129-11135 NCBITaxon:9606 denotes people
T64263 11445-11456 CHEBI:23888;CHEBI:23888 denotes medications
T34552 11638-11640 UBERON:0000323 denotes of
T65117 11641-11645 UBERON:0000104 denotes life
T72097 11669-11677 SP_7 denotes COVID-19
T94543 11839-11842 GO:0016265 denotes die
T96411 12112-12120 SP_7 denotes COVID-19
T29732 12196-12202 GO:0016265 denotes deaths
T59504 12208-12216 SP_7 denotes COVID-19
T99816 12577-12580 GO:0016265 denotes die
T82199 12905-12912 GO:0065007 denotes control
T61035 12933-12944 NCBITaxon:11118 denotes coronavirus
T33401 13040-13046 NCBITaxon:9606 denotes people
T68388 13097-13101 GO:0040007 denotes grow
T40490 13246-13251 GO:0016265 denotes death
T5342 13458-13466 SP_7 denotes COVID-19
T74328 13807-13813 NCBITaxon:9606 denotes people

MyTest

Id Subject Object Predicate Lexical cue
32269597-32066541-26439896 4689-4690 32066541 denotes 5