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PMC:7529504 / 1827-21916 JSONTXT

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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 12044-12048 Body_part denotes back http://purl.org/sig/ont/fma/fma25056
T2 14143-14147 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 2535-2540 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 4196-4201 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T3 6621-6626 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T4 14143-14147 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T5 19675-19680 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T12 13-19 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T13 165-171 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T14 288-294 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T15 757-763 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T16 903-909 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T17 1342-1350 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 1363-1369 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T19 1617-1623 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T20 1865-1871 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T21 2628-2636 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 2731-2739 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 3331-3337 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T24 3468-3478 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T25 3505-3511 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T26 3647-3653 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T27 4364-4372 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 4385-4391 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T29 4534-4540 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T30 4757-4763 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T31 4780-4788 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 4863-4869 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T33 5003-5011 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T34 5041-5047 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T35 6297-6303 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T36 6325-6331 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T37 6376-6384 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 6894-6900 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T39 7180-7186 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T40 7531-7539 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 7597-7603 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T42 7629-7635 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T43 7647-7653 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T44 7733-7741 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 7809-7815 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T46 7849-7854 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T47 7902-7907 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T48 8087-8093 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T49 8237-8243 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T50 8946-8952 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T51 9433-9438 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T52 9812-9818 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T53 9884-9890 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T54 10544-10550 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T55 11040-11046 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T56 11304-11312 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T57 11614-11622 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T58 11627-11636 Disease denotes Infection http://purl.obolibrary.org/obo/MONDO_0005550
T59 11709-11714 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T60 12564-12569 Disease denotes tumor http://purl.obolibrary.org/obo/MONDO_0005070
T61 12706-12714 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T62 12727-12733 Disease denotes Cancer http://purl.obolibrary.org/obo/MONDO_0004992
T63 12859-12867 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T64 12880-12886 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T65 13350-13356 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T66 13600-13610 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T67 13666-13699 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T68 13908-13914 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T69 14618-14627 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T70 14764-14773 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T71 15161-15167 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T72 15231-15237 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T73 15577-15583 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T74 15988-15994 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T75 16093-16099 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T76 16117-16123 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T77 16646-16652 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T78 16769-16775 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T79 19212-19218 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T80 19336-19342 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T81 19702-19708 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T82 19805-19811 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T10 23-24 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 304-305 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 587-592 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T13 1080-1081 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 1309-1318 http://purl.obolibrary.org/obo/BFO_0000030 denotes Objective
T15 1378-1379 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 1537-1540 http://purl.obolibrary.org/obo/CLO_0001311 denotes 356
T17 1581-1586 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T18 1785-1786 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 2311-2312 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 2334-2335 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 2352-2355 http://purl.obolibrary.org/obo/CLO_0001000 denotes 3-5
T22 2365-2370 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T23 2371-2374 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T24 2375-2376 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 2402-2403 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 2433-2437 http://purl.obolibrary.org/obo/CLO_0001313 denotes 3%.6
T27 2526-2527 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 3079-3080 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 3342-3343 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 3559-3564 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T31 3565-3566 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T32 3893-3902 http://purl.obolibrary.org/obo/OBI_0000245 denotes organized
T33 4033-4034 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 4186-4187 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T35 4491-4492 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 4670-4671 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 5276-5277 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 5602-5608 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T39 5650-5651 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 6083-6093 http://purl.obolibrary.org/obo/OBI_0000968 denotes Instrument
T41 6114-6124 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T42 6419-6429 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T43 6463-6464 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 6529-6530 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 6632-6633 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 6841-6842 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 7339-7340 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T48 8143-8144 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T49 8297-8307 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T50 8351-8361 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrument
T51 9567-9570 http://purl.obolibrary.org/obo/CLO_0001311 denotes 356
T52 10315-10316 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 10969-10970 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T54 11292-11293 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 11806-11812 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T56 11885-11890 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T57 12328-12329 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 12613-12618 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T59 12739-12742 http://purl.obolibrary.org/obo/CLO_0008190 denotes Per
T60 12927-12932 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T61 13147-13148 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 14687-14688 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 14908-14909 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 14993-14995 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T65 15033-15034 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T66 15070-15082 http://purl.obolibrary.org/obo/OBI_0000245 denotes organization
T67 15474-15475 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 15506-15507 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 16473-16474 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 16661-16662 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 16694-16695 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 17014-17015 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T73 17803-17804 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 18008-18013 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T75 18080-18081 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T76 18436-18441 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T77 18455-18456 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T78 18589-18596 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T79 18903-18904 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T80 18992-19000 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T81 19227-19228 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T82 19370-19371 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 19774-19777 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T84 19922-19923 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
48 151-159 Species denotes patients Tax:9606
49 227-235 Species denotes patients Tax:9606
50 274-282 Species denotes patients Tax:9606
51 464-472 Species denotes patients Tax:9606
52 743-751 Species denotes patients Tax:9606
53 911-919 Species denotes patients Tax:9606
54 1022-1030 Species denotes patients Tax:9606
55 1144-1152 Species denotes patients Tax:9606
56 1280-1287 Species denotes patient Tax:9606
57 13-19 Disease denotes Cancer MESH:D009369
58 165-171 Disease denotes cancer MESH:D009369
59 288-294 Disease denotes cancer MESH:D009369
60 757-763 Disease denotes cancer MESH:D009369
61 903-909 Disease denotes cancer MESH:D009369
64 1342-1350 Disease denotes COVID-19 MESH:C000657245
65 1363-1369 Disease denotes cancer MESH:D009369
69 1819-1826 Species denotes patient Tax:9606
70 1617-1623 Disease denotes cancer MESH:D009369
71 1865-1871 Disease denotes cancer MESH:D009369
73 2251-2266 Species denotes new coronavirus Tax:2697049
78 2472-2478 Species denotes people Tax:9606
79 2479-2487 Disease denotes infected MESH:D007239
80 2502-2508 Disease denotes deaths MESH:D003643
81 2628-2636 Disease denotes COVID-19 MESH:C000657245
87 2834-2841 Species denotes patient Tax:9606
88 3185-3193 Species denotes patients Tax:9606
89 3197-3207 Species denotes outpatient Tax:9606
90 3278-3286 Species denotes patients Tax:9606
91 2731-2739 Disease denotes COVID-19 MESH:C000657245
98 3317-3325 Species denotes Patients Tax:9606
99 3675-3683 Species denotes patients Tax:9606
100 3331-3337 Disease denotes cancer MESH:D009369
101 3468-3478 Disease denotes infections MESH:D007239
102 3505-3511 Disease denotes cancer MESH:D009369
103 3647-3653 Disease denotes cancer MESH:D009369
107 4364-4372 Disease denotes COVID-19 MESH:C000657245
108 4385-4391 Disease denotes cancer MESH:D009369
109 4534-4540 Disease denotes cancer MESH:D009369
116 5148-5156 Species denotes patients Tax:9606
117 4757-4763 Disease denotes cancer MESH:D009369
118 4780-4788 Disease denotes COVID-19 MESH:C000657245
119 4863-4869 Disease denotes cancer MESH:D009369
120 5003-5011 Disease denotes COVID-19 MESH:C000657245
121 5041-5047 Disease denotes cancer MESH:D009369
124 5979-5991 Species denotes participants Tax:9606
125 6019-6027 Species denotes Patients Tax:9606
131 6880-6888 Species denotes patients Tax:9606
132 6297-6303 Disease denotes cancer MESH:D009369
133 6325-6331 Disease denotes cancer MESH:D009369
134 6376-6384 Disease denotes COVID-19 MESH:C000657245
135 6894-6900 Disease denotes cancer MESH:D009369
153 7137-7145 Species denotes patients Tax:9606
154 7327-7335 Species denotes patients Tax:9606
155 7492-7500 Species denotes patients Tax:9606
156 7580-7588 Species denotes patients Tax:9606
157 7615-7623 Species denotes patients Tax:9606
158 7795-7803 Species denotes patients Tax:9606
159 8073-8081 Species denotes patients Tax:9606
160 7180-7186 Disease denotes cancer MESH:D009369
161 7531-7539 Disease denotes COVID-19 MESH:C000657245
162 7597-7603 Disease denotes cancer MESH:D009369
163 7629-7635 Disease denotes cancer MESH:D009369
164 7647-7653 Disease denotes cancer MESH:D009369
165 7733-7741 Disease denotes COVID-19 MESH:C000657245
166 7809-7815 Disease denotes cancer MESH:D009369
167 7849-7861 Disease denotes tumor boards MESH:D009369
168 7902-7914 Disease denotes tumor boards MESH:D009369
169 8087-8093 Disease denotes cancer MESH:D009369
171 8237-8243 Disease denotes cancer MESH:D009369
173 8946-8952 Disease denotes cancer MESH:D009369
176 9478-9486 Species denotes patients Tax:9606
177 9433-9445 Disease denotes tumor boards MESH:D009369
181 9870-9878 Species denotes patients Tax:9606
182 9812-9818 Disease denotes cancer MESH:D009369
183 9884-9890 Disease denotes cancer MESH:D009369
185 10544-10550 Disease denotes Cancer MESH:D009369
194 10601-10609 Species denotes patients Tax:9606
195 10705-10713 Species denotes patients Tax:9606
196 10783-10793 Species denotes outpatient Tax:9606
197 10834-10842 Species denotes Patients Tax:9606
198 10931-10943 Species denotes Participants Tax:9606
199 10995-11003 Species denotes patients Tax:9606
200 11211-11219 Species denotes patients Tax:9606
201 11040-11046 Disease denotes cancer MESH:D009369
203 11249-11257 Species denotes Patients Tax:9606
207 11329-11337 Species denotes patients Tax:9606
208 11523-11530 Species denotes patient Tax:9606
209 11304-11312 Disease denotes COVID-19 MESH:C000657245
212 11614-11622 Disease denotes COVID-19 MESH:C000657245
213 11627-11636 Disease denotes Infection MESH:D007239
216 11900-11908 Species denotes patients Tax:9606
217 11709-11721 Disease denotes tumor boards MESH:D009369
221 12624-12632 Species denotes patients Tax:9606
222 12667-12675 Species denotes patients Tax:9606
223 12564-12576 Disease denotes tumor boards MESH:D009369
226 12706-12714 Disease denotes COVID-19 MESH:C000657245
227 12727-12733 Disease denotes Cancer MESH:D009369
230 12859-12867 Disease denotes COVID-19 MESH:C000657245
231 12880-12886 Disease denotes cancer MESH:D009369
240 13183-13190 Species denotes patient Tax:9606
241 13336-13344 Species denotes patients Tax:9606
242 13894-13902 Species denotes patients Tax:9606
243 14012-14020 Species denotes patients Tax:9606
244 13350-13356 Disease denotes cancer MESH:D009369
245 13629-13661 Disease denotes Middle East respiratory syndrome MESH:D018352
246 13666-13699 Disease denotes severe acute respiratory syndrome MESH:D045169
247 13908-13914 Disease denotes cancer MESH:D009369
255 14546-14554 Species denotes patients Tax:9606
256 14567-14575 Species denotes patients Tax:9606
257 14722-14730 Species denotes patients Tax:9606
258 14813-14820 Species denotes patient Tax:9606
259 14618-14627 Disease denotes infection MESH:D007239
260 14629-14648 Disease denotes emotional disorders MESH:D030342
261 14764-14773 Disease denotes infection MESH:D007239
265 15147-15155 Species denotes patients Tax:9606
266 15161-15167 Disease denotes cancer MESH:D009369
267 15231-15237 Disease denotes cancer MESH:D009369
278 15521-15533 Species denotes participants Tax:9606
279 15563-15571 Species denotes patients Tax:9606
280 15665-15673 Species denotes patients Tax:9606
281 15752-15759 Species denotes patient Tax:9606
282 16079-16087 Species denotes patients Tax:9606
283 16246-16254 Species denotes patients Tax:9606
284 15577-15583 Disease denotes cancer MESH:D009369
285 15988-15994 Disease denotes cancer MESH:D009369
286 16093-16099 Disease denotes cancer MESH:D009369
287 16117-16123 Disease denotes cancer MESH:D009369
290 16646-16652 Disease denotes cancer MESH:D009369
291 16769-16775 Disease denotes cancer MESH:D009369
293 16907-16914 Species denotes patient Tax:9606
295 18398-18405 Species denotes patient Tax:9606
297 19069-19086 Disease denotes cognitive fitness MESH:D003072
305 19296-19303 Species denotes patient Tax:9606
306 19412-19420 Species denotes patients Tax:9606
307 19610-19618 Species denotes patients Tax:9606
308 19212-19218 Disease denotes cancer MESH:D009369
309 19336-19342 Disease denotes cancer MESH:D009369
310 19702-19708 Disease denotes cancer MESH:D009369
311 19805-19811 Disease denotes cancer MESH:D009369

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T8 13-19 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T9 165-171 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T10 288-294 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T11 757-763 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T12 903-909 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T13 1363-1369 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T14 1617-1623 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T15 1865-1871 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T16 2135-2143 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T17 3105-3113 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T18 3331-3337 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T19 3505-3511 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T20 3647-3653 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T21 4106-4114 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T22 4385-4391 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T23 4442-4450 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T24 4534-4540 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T25 4757-4763 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T26 4863-4869 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T27 4944-4952 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T28 5041-5047 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T29 5414-5422 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T30 5623-5631 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T31 6297-6303 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T32 6325-6331 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T33 6894-6900 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T34 7180-7186 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T35 7597-7603 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T36 7629-7635 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T37 7647-7653 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T38 7809-7815 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T39 7849-7854 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T40 7902-7907 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T41 8087-8093 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T42 8237-8243 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T43 8946-8952 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T44 9433-9438 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T45 9812-9818 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T46 9884-9890 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T47 10544-10550 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T48 11040-11046 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T49 11709-11714 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T50 12564-12569 Phenotype denotes tumor http://purl.obolibrary.org/obo/HP_0002664
T51 12727-12733 Phenotype denotes Cancer http://purl.obolibrary.org/obo/HP_0002664
T52 12880-12886 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T53 13350-13356 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T54 13908-13914 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T55 15161-15167 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T56 15231-15237 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T57 15577-15583 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T58 15988-15994 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T59 16093-16099 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T60 16117-16123 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T61 16646-16652 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T62 16769-16775 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T63 17999-18007 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T64 18119-18127 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T65 18607-18615 Phenotype denotes oncology http://purl.obolibrary.org/obo/HP_0002664
T66 19212-19218 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T67 19336-19342 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T68 19702-19708 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T69 19805-19811 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T21 0-12 Sentence denotes INTRODUCTION
T22 13-256 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 257-715 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 716-882 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 883-985 Sentence denotes Once diagnosed with cancer, patients need continued monitoring and support during and after treatment.
T26 986-1296 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 1297-1304 Sentence denotes CONTEXT
T28 1305-1318 Sentence denotes Key Objective
T29 1319-1393 Sentence denotes What was the impact of COVID-19 pandemic on cancer care at a global level?
T30 1394-1453 Sentence denotes How did the magnitude of impact vary in different settings?
T31 1454-1473 Sentence denotes Knowledge Generated
T32 1474-1774 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 1775-1908 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 1909-1977 Sentence denotes As expected, the impact was more pronounced in low-income countries.
T35 1978-2079 Sentence denotes The implementation of virtual communication and remote care were prevalent responses in most centers.
T36 2080-2089 Sentence denotes Relevance
T37 2090-2245 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 2247-2439 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 2440-2726 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 2727-3075 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 3076-3316 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 3317-3534 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 3535-3714 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 3715-4088 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 4089-4264 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 4265-4397 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 4398-4585 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 4587-4594 Sentence denotes METHODS
T49 4596-4625 Sentence denotes Study Design and Participants
T50 4626-4884 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 4885-5021 Sentence denotes The survey included questions to assess the performance of oncology centers in different countries in response to the COVID-19 pandemic.
T52 5022-5157 Sentence denotes The tool evaluated cancer services management during the crisis and the perception of oncologists about the potential harm to patients.
T53 5158-5466 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 5467-5549 Sentence denotes SurveyMonkey was chosen by the research team for its advanced design capabilities.
T55 5550-5677 Sentence denotes The key informants were senior oncologists who were active in the global oncology community and had a good network of contacts.
T56 5678-5775 Sentence denotes We targeted oncologists who were involved in clinical care and aware of their center information.
T57 5776-5881 Sentence denotes They were selected from different geographical regions and continents and acted as regional coordinators.
T58 5882-6018 Sentence denotes The regional coordinators invited country coordinators to disseminate the survey to the targeted participants in their respective areas.
T59 6019-6060 Sentence denotes Patients were not involved in this study.
T60 6062-6093 Sentence denotes Procedures and Study Instrument
T61 6094-6394 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 6395-6546 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 6547-6713 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 6714-6778 Sentence denotes All changes were corrected as suggested by the panel of experts.
T65 6779-7000 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 7001-8095 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 8096-8314 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 8315-8443 Sentence denotes Content validity of the constructed instrument was ensured by the judgment of experts on the relevancy and clarity of the items.
T69 8444-8518 Sentence denotes SurveyMonkey was used to disseminate the survey and compile the responses.
T70 8520-8533 Sentence denotes Data Analysis
T71 8534-8584 Sentence denotes Responses were collected anonymously and recorded.
T72 8585-8753 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 8754-8835 Sentence denotes Descriptive analyses to examine the characteristics of the sample were performed.
T74 8836-8965 Sentence denotes Means, standard deviations, and frequencies with their corresponding 95% CIs were reported for every surveyed cancer institution.
T75 8966-9149 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 9150-9494 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 9496-9503 Sentence denotes RESULTS
T78 9504-9615 Sentence denotes Between April 21 and May 8, 2020, responses were obtained from 356 centers from 54 countries on six continents:
T79 9616-9690 Sentence denotes Africa, Asia, Australia, Europe, North America, and South America (Fig 1).
T80 9691-9842 Sentence denotes Table 1 lists the characteristics of the participating centers, which shows representation of various countries, type of cancer services, and capacity.
T81 9843-9948 Sentence denotes The reported number of new patients with cancer served in the participating centers was 716,979 per year.
T82 9949-10004 Sentence denotes FIG 1 Number of the participating centers per country.
T83 10005-10194 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 10195-10520 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 10521-10742 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 10743-10833 Sentence denotes As expected, many centers reduced their outpatient visits and switched to virtual clinics.
T87 10834-10930 Sentence denotes Patients in many centers (58.15%) did not have the option of seeking care outside their centers.
T88 10931-11152 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 11153-11220 Sentence denotes The reported harm estimates ranged from < 1% up to 80% of patients.
T90 11221-11418 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 11419-11477 Sentence denotes Shortage of PPE was reported in multiple centers (48.31%).
T92 11478-11591 Sentence denotes Physicians followed different guidelines for patient management and prioritization during the pandemic (Table 4).
T93 11592-11833 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 11834-11959 Sentence denotes Remote care included performing routine laboratory tests close to patients’ homes and shipping medications to them (Table 5).
T95 11960-12073 Sentence denotes At the time of completing the survey, only 16% of the centers reported that work is back to prepandemic baseline.
T96 12074-12382 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 12383-12486 Sentence denotes Lack of PPE, access to medications, and estimated exposure to harm was worse in lower-income countries.
T98 12487-12686 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 12687-12792 Sentence denotes TABLE 6 Impact of COVID-19 Pandemic on Cancer Care Per World Bank Statification of Country Income Levels
T100 12794-12804 Sentence denotes DISCUSSION
T101 12805-12906 Sentence denotes Our study demonstrated the far-reaching impact of the COVID-19 pandemic on cancer services worldwide.
T102 12907-13107 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 13108-13229 Sentence denotes The main reason to reduce services was a precautionary measure to minimize patient visits and maintain social distancing.
T104 13230-14129 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 14130-14402 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 14403-14995 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 14996-15168 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 15169-15490 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 15491-15706 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 15707-15835 Sentence denotes Although these numbers varied among centers, patient harm was certainly encountered by many oncologists because of the pandemic.
T111 15836-16100 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 16101-16397 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 16398-16589 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 16590-16793 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 16794-17052 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 17053-17283 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 17284-17878 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 17879-18160 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 18161-18319 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 18320-18573 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 18574-18887 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 18888-19089 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 19090-19192 Sentence denotes Lessons learned from this pandemic should be become an integral part of the new normal of health care.
T124 19193-19331 Sentence denotes The integration of cancer care as a part of the institutional emergency preparedness plan will improve patient outcomes in similar crises.
T125 19332-19454 Sentence denotes The cancer care continuum should have a major component of effectively managing patients during pandemics or major crises.
T126 19455-19897 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 19898-20089 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

2_test

Id Subject Object Predicate Lexical cue
32986516-24001762-58490036 435-436 24001762 denotes 2
32986516-31995857-58490037 2352-2353 31995857 denotes 3
32986516-32081636-58490037 2352-2353 32081636 denotes 3
32986516-32074416-58490038 2436-2437 32074416 denotes 6
32986516-32091533-58490038 2436-2437 32091533 denotes 6
32986516-32282023-58490039 3311-3313 32282023 denotes 10
32986516-32243287-58490040 4014-4016 32243287 denotes 12
32986516-32550822-58490040 4014-4016 32550822 denotes 12
32986516-32220659-58490041 13378-13380 32220659 denotes 15
32986516-32395672-58490041 13378-13380 32395672 denotes 15
32986516-32242095-58490041 13378-13380 32242095 denotes 15
32986516-32325021-58490042 14665-14667 32325021 denotes 22
32986516-32212516-58490043 14990-14992 32212516 denotes 24
32986516-32416784-58490043 14990-14992 32416784 denotes 24
32986516-32221579-58490043 14990-14992 32221579 denotes 24
32986516-32196543-58490043 14990-14992 32196543 denotes 24
32986516-32339482-58490044 16395-16397 32339482 denotes 33
32986516-32243287-58490045 17624-17626 32243287 denotes 12
32986516-32439872-58490046 17630-17632 32439872 denotes 34
32986516-32212516-58490047 17867-17869 32212516 denotes 24
32986516-32196543-58490048 17870-17872 32196543 denotes 27
32986516-32289312-58490049 17876-17878 32289312 denotes 36
32986516-32424196-58490050 18049-18051 32424196 denotes 37
32986516-32264957-58490051 19087-19089 32264957 denotes 38
32986516-32264957-58490052 19727-19729 32264957 denotes 38
32986516-32452031-58490053 20084-20086 32452031 denotes 39