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PMC:7187660 / 69-503 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T2 66-74 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 84-87 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T2 93-94 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 359-361 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T2 0-160 Sentence denotes Using meta-analysis to explore clinical determinants for death of COVID-19 patients has been a problem due to insufficient sample size and overlapped cases [1].
T3 161-434 Sentence denotes In the study, we re-analyzed the largest confirmed case series reported publicly by the Chinese center for disease control and prevention (44,672 laboratory confirmed cases updated through February 11, 2020, [2]), to explore the clinical risk factors associated with death.

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T2 57-62 GO:0016265 denotes death
T3 66-74 SP_7 denotes COVID-19
T4 276-283 GO:0065007 denotes control
T5 428-433 GO:0016265 denotes death
T14874 57-62 GO:0016265 denotes death
T65338 66-74 SP_7 denotes COVID-19
T80647 276-283 GO:0065007 denotes control
T90898 428-433 GO:0016265 denotes death

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
8 75-83 Species denotes patients Tax:9606
9 57-62 Disease denotes death MESH:D003643
10 66-74 Disease denotes COVID-19 MESH:C000657245
11 428-433 Disease denotes death MESH:D003643