PMC:7417201 / 11307-12399 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T20","span":{"begin":245,"end":249},"obj":"Body_part"},{"id":"T21","span":{"begin":295,"end":300},"obj":"Body_part"},{"id":"T22","span":{"begin":1069,"end":1084},"obj":"Body_part"}],"attributes":[{"id":"A20","pred":"fma_id","subj":"T20","obj":"http://purl.org/sig/ont/fma/fma256135"},{"id":"A21","pred":"fma_id","subj":"T21","obj":"http://purl.org/sig/ont/fma/fma9576"},{"id":"A22","pred":"fma_id","subj":"T22","obj":"http://purl.org/sig/ont/fma/fma49893"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T22","span":{"begin":295,"end":300},"obj":"Body_part"},{"id":"T23","span":{"begin":1069,"end":1084},"obj":"Body_part"},{"id":"T24","span":{"begin":1078,"end":1084},"obj":"Body_part"}],"attributes":[{"id":"A22","pred":"uberon_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/UBERON_0001443"},{"id":"A23","pred":"uberon_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/UBERON_0001621"},{"id":"A24","pred":"uberon_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/UBERON_0001637"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T56","span":{"begin":344,"end":352},"obj":"Disease"},{"id":"T57","span":{"begin":490,"end":502},"obj":"Disease"},{"id":"T58","span":{"begin":543,"end":557},"obj":"Disease"},{"id":"T59","span":{"begin":649,"end":652},"obj":"Disease"},{"id":"T61","span":{"begin":1065,"end":1068},"obj":"Disease"},{"id":"T63","span":{"begin":1069,"end":1092},"obj":"Disease"},{"id":"T64","span":{"begin":1078,"end":1092},"obj":"Disease"}],"attributes":[{"id":"A56","pred":"mondo_id","subj":"T56","obj":"http://purl.obolibrary.org/obo/MONDO_0005015"},{"id":"A57","pred":"mondo_id","subj":"T57","obj":"http://purl.obolibrary.org/obo/MONDO_0005044"},{"id":"A58","pred":"mondo_id","subj":"T58","obj":"http://purl.obolibrary.org/obo/MONDO_0021187"},{"id":"A59","pred":"mondo_id","subj":"T59","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A60","pred":"mondo_id","subj":"T59","obj":"http://purl.obolibrary.org/obo/MONDO_0018922"},{"id":"A61","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A62","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0018922"},{"id":"A63","pred":"mondo_id","subj":"T63","obj":"http://purl.obolibrary.org/obo/MONDO_0005010"},{"id":"A64","pred":"mondo_id","subj":"T64","obj":"http://purl.obolibrary.org/obo/MONDO_0000473"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T91","span":{"begin":170,"end":172},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T92","span":{"begin":186,"end":188},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T93","span":{"begin":194,"end":198},"obj":"http://purl.obolibrary.org/obo/UBERON_0003101"},{"id":"T94","span":{"begin":194,"end":198},"obj":"http://www.ebi.ac.uk/efo/EFO_0000970"},{"id":"T95","span":{"begin":295,"end":300},"obj":"http://www.ebi.ac.uk/efo/EFO_0000965"},{"id":"T96","span":{"begin":318,"end":320},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T97","span":{"begin":335,"end":337},"obj":"http://purl.obolibrary.org/obo/CLO_0001000"},{"id":"T98","span":{"begin":520,"end":523},"obj":"http://purl.obolibrary.org/obo/CLO_0054060"},{"id":"T99","span":{"begin":669,"end":671},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T100","span":{"begin":731,"end":735},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T101","span":{"begin":752,"end":754},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T102","span":{"begin":764,"end":766},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T103","span":{"begin":786,"end":790},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T104","span":{"begin":845,"end":848},"obj":"http://purl.obolibrary.org/obo/CLO_0001377"},{"id":"T105","span":{"begin":850,"end":852},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T106","span":{"begin":858,"end":860},"obj":"http://purl.obolibrary.org/obo/CLO_0001313"},{"id":"T107","span":{"begin":867,"end":869},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T108","span":{"begin":914,"end":916},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"},{"id":"T109","span":{"begin":922,"end":925},"obj":"http://purl.obolibrary.org/obo/CLO_0001195"},{"id":"T110","span":{"begin":927,"end":929},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T111","span":{"begin":1078,"end":1084},"obj":"http://purl.obolibrary.org/obo/UBERON_0001637"},{"id":"T112","span":{"begin":1078,"end":1084},"obj":"http://www.ebi.ac.uk/efo/EFO_0000814"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-sentences","denotations":[{"id":"T80","span":{"begin":0,"end":93},"obj":"Sentence"},{"id":"T81","span":{"begin":94,"end":152},"obj":"Sentence"},{"id":"T82","span":{"begin":153,"end":193},"obj":"Sentence"},{"id":"T83","span":{"begin":194,"end":244},"obj":"Sentence"},{"id":"T84","span":{"begin":245,"end":294},"obj":"Sentence"},{"id":"T85","span":{"begin":295,"end":343},"obj":"Sentence"},{"id":"T86","span":{"begin":344,"end":390},"obj":"Sentence"},{"id":"T87","span":{"begin":391,"end":436},"obj":"Sentence"},{"id":"T88","span":{"begin":437,"end":489},"obj":"Sentence"},{"id":"T89","span":{"begin":490,"end":542},"obj":"Sentence"},{"id":"T90","span":{"begin":543,"end":595},"obj":"Sentence"},{"id":"T91","span":{"begin":596,"end":642},"obj":"Sentence"},{"id":"T92","span":{"begin":643,"end":690},"obj":"Sentence"},{"id":"T93","span":{"begin":691,"end":710},"obj":"Sentence"},{"id":"T94","span":{"begin":711,"end":767},"obj":"Sentence"},{"id":"T95","span":{"begin":768,"end":824},"obj":"Sentence"},{"id":"T96","span":{"begin":825,"end":875},"obj":"Sentence"},{"id":"T97","span":{"begin":876,"end":935},"obj":"Sentence"},{"id":"T98","span":{"begin":936,"end":1030},"obj":"Sentence"},{"id":"T99","span":{"begin":1031,"end":1092},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T12","span":{"begin":295,"end":305},"obj":"Phenotype"},{"id":"T13","span":{"begin":391,"end":398},"obj":"Phenotype"},{"id":"T14","span":{"begin":490,"end":502},"obj":"Phenotype"},{"id":"T15","span":{"begin":543,"end":557},"obj":"Phenotype"}],"attributes":[{"id":"A12","pred":"hp_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/HP_0100749"},{"id":"A13","pred":"hp_id","subj":"T13","obj":"http://purl.obolibrary.org/obo/HP_0002094"},{"id":"A14","pred":"hp_id","subj":"T14","obj":"http://purl.obolibrary.org/obo/HP_0000822"},{"id":"A15","pred":"hp_id","subj":"T15","obj":"http://purl.obolibrary.org/obo/HP_0003077"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PubTator","denotations":[{"id":"146","span":{"begin":649,"end":687},"obj":"Gene"},{"id":"147","span":{"begin":301,"end":305},"obj":"Disease"},{"id":"148","span":{"begin":344,"end":352},"obj":"Disease"},{"id":"149","span":{"begin":391,"end":398},"obj":"Disease"},{"id":"150","span":{"begin":490,"end":502},"obj":"Disease"},{"id":"151","span":{"begin":543,"end":557},"obj":"Disease"},{"id":"152","span":{"begin":691,"end":697},"obj":"Disease"},{"id":"153","span":{"begin":825,"end":837},"obj":"Disease"}],"attributes":[{"id":"A146","pred":"tao:has_database_id","subj":"146","obj":"Gene:730249"},{"id":"A147","pred":"tao:has_database_id","subj":"147","obj":"MESH:D010146"},{"id":"A148","pred":"tao:has_database_id","subj":"148","obj":"MESH:D003920"},{"id":"A149","pred":"tao:has_database_id","subj":"149","obj":"MESH:D004417"},{"id":"A150","pred":"tao:has_database_id","subj":"150","obj":"MESH:D006973"},{"id":"A151","pred":"tao:has_database_id","subj":"151","obj":"MESH:D006949"},{"id":"A152","pred":"tao:has_database_id","subj":"152","obj":"MESH:D000079225"},{"id":"A153","pred":"tao:has_database_id","subj":"153","obj":"MESH:C535740"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T67","span":{"begin":770,"end":785},"obj":"CHEBI:52217;CHEBI:52217"},{"id":"T68","span":{"begin":1035,"end":1045},"obj":"UBERON:0002349"},{"id":"T69","span":{"begin":1069,"end":1084},"obj":"UBERON:0001621"},{"id":"T52972","span":{"begin":770,"end":785},"obj":"CHEBI:52217;CHEBI:52217"}],"text":"Table 1 Baseline characteristics of overall population according to the year of MPI execution\nAll (n = 1361) 2020 (n = 123) 2017–2019 (n = 1238) P value\nAge (years) 64 ± 11 64 ± 10 64 ± 11 0.14\nMale gender, n (%) 439 (32) 29 (24) 410 (33) \u003c .05\nBody mass index (kg/m2) 29 ± 5 29 ± 5 29 ± 6 0.43\nChest pain, n (%) 468 (34) 37 (30) 431 (35) 0.29\nDiabetes, n (%) 437 (32) 47 (38) 390 (32) 0.12\nDyspnea, n (%) 624 (46) 49 (40) 575 (46) 0.16\nFamily history, n (%) 729 (54) 60 (49) 669 (54) 0.26\nHypertension, n (%) 1070 (79) 102 (83) 968 (78) 0.22\nHyperlipidemia, n (%) 949 (70) 92 (75) 857 (69) 0.20\nSmoking, n (%) 416 (31) 26 (21) 390 (32) \u003c .05\nKnown CAD, n (%) 593 (44) 52 (42) 541 (44) 0.76\nStress type \u003c .0001\n  Physical exercise test, n (%) 519 (38) 11 (9) 508 (41)\n  Pharmacological test, n (%) 842 (62) 112 (91) 730 (59)\nAbnormal MPI, n (%) 462 (34) 44 (36) 418 (34) 0.65\nTotal perfusion defect \u003e 10% 246 (53) 27 (61) 219 (52) 0.26\nValues are expressed as mean value ± standard deviation or as number (percentage) of subjects. MPI myocardial perfusion imaging, CAD coronary artery disease"}