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PMC:7116472 / 46841-48097 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
804 35-44 Disease denotes Mortality MESH:D003643
805 75-84 Disease denotes mortality MESH:D003643
810 155-163 Species denotes patients Tax:9606
811 237-246 Disease denotes Mortality MESH:D003643
812 260-269 Disease denotes mortality MESH:D003643
813 685-694 Disease denotes mortality MESH:D003643

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T338 0-133 Sentence denotes Table 4 Performance metrics of 4C Mortality Score to rule out and rule in mortality at different cut-off values in validation cohort
T339 134-250 Sentence denotes Cut-off value No of patients (%) TP TN FP FN Sensitivity (%) Specificity (%) PPV (%) NPV (%) Mortality (%)
T340 251-269 Sentence denotes Rule out mortality
T341 270-334 Sentence denotes ≤2 1001 (4.5) 6724 996 14 636 5 99.9 6.4 31.5 99.5 0.5
T342 335-402 Sentence denotes ≤3 1650 (7.4) 6709 1630 14 002 20 99.7 10.4 32.4 98.8 1.2
T343 403-471 Sentence denotes ≤4 2420 (10.8) 6672 2363 13 269 57 99.2 15.1 33.5 97.6 2.4
T344 472-541 Sentence denotes ≤6 4121 (18.4) 6542 3934 11 698 187 97.2 25.2 35.9 95.5 4.5
T345 542-609 Sentence denotes ≤8 6539 (29.2) 6223 6033 9599 506 92.5 38.6 39.3 92.3 7.7
T346 610-676 Sentence denotes ≤9 8167 (36.5) 5911 7349 8283 818 87.8 47 41.6 90.0 10.0
T347 677-694 Sentence denotes Rule in mortality
T348 695-765 Sentence denotes ≥9 15 822 (70.8) 6223 6033 9599 506 92.5 38.6 39.3 92.3 39.3
T349 766-838 Sentence denotes ≥11 12 325 (55.1) 5483 8790 6842 1246 81.5 56.2 44.5 87.6 44.5
T350 839-911 Sentence denotes ≥13 8069 (36.1) 4206 11 769 3863 2523 62.5 75.3 52.1 82.3 52.1
T351 912-982 Sentence denotes ≥15 4158 (18.6) 2557 14 031 1601 4172 38 89.8 61.5 77.1 61.5
T352 983-1051 Sentence denotes ≥17 1579 (7.1) 1142 15 195 437 5587 17 97.2 72.3 73.1 72.3
T353 1052-1118 Sentence denotes ≥19 381 (1.7) 305 15 556 76 6424 4.5 99.5 80.1 70.8 80.1
T354 1119-1256 Sentence denotes FN=false negative; FP=false positive; NPV=i negative predictive value; PPV=positive predictive value; TN=true negative; TP=true positive.