PMC:7417201 / 14040-15324 JSON TXT

Annnotations TAB JSON ListView MergeView

LitCovid-PD-FMA-UBERON

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T26","span":{"begin":764,"end":768},"obj":"Body_part"},{"id":"T27","span":{"begin":819,"end":824},"obj":"Body_part"},{"id":"T28","span":{"begin":1261,"end":1276},"obj":"Body_part"}],"attributes":[{"id":"A26","pred":"fma_id","subj":"T26","obj":"http://purl.org/sig/ont/fma/fma256135"},{"id":"A27","pred":"fma_id","subj":"T27","obj":"http://purl.org/sig/ont/fma/fma9576"},{"id":"A28","pred":"fma_id","subj":"T28","obj":"http://purl.org/sig/ont/fma/fma49893"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PD-UBERON

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T28","span":{"begin":819,"end":824},"obj":"Body_part"},{"id":"T29","span":{"begin":1261,"end":1276},"obj":"Body_part"},{"id":"T30","span":{"begin":1270,"end":1276},"obj":"Body_part"}],"attributes":[{"id":"A28","pred":"uberon_id","subj":"T28","obj":"http://purl.obolibrary.org/obo/UBERON_0001443"},{"id":"A29","pred":"uberon_id","subj":"T29","obj":"http://purl.obolibrary.org/obo/UBERON_0001621"},{"id":"A30","pred":"uberon_id","subj":"T30","obj":"http://purl.obolibrary.org/obo/UBERON_0001637"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PD-MONDO

LitCovid-PD-CLO

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T134","span":{"begin":345,"end":349},"obj":"http://purl.obolibrary.org/obo/UBERON_0003101"},{"id":"T135","span":{"begin":345,"end":349},"obj":"http://www.ebi.ac.uk/efo/EFO_0000970"},{"id":"T136","span":{"begin":715,"end":719},"obj":"http://purl.obolibrary.org/obo/UBERON_0003101"},{"id":"T137","span":{"begin":715,"end":719},"obj":"http://www.ebi.ac.uk/efo/EFO_0000970"},{"id":"T138","span":{"begin":819,"end":824},"obj":"http://www.ebi.ac.uk/efo/EFO_0000965"},{"id":"T139","span":{"begin":1270,"end":1276},"obj":"http://purl.obolibrary.org/obo/UBERON_0001637"},{"id":"T140","span":{"begin":1270,"end":1276},"obj":"http://www.ebi.ac.uk/efo/EFO_0000814"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PD-CHEBI

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T18","span":{"begin":345,"end":349},"obj":"Chemical"},{"id":"T19","span":{"begin":638,"end":640},"obj":"Chemical"},{"id":"T20","span":{"begin":663,"end":665},"obj":"Chemical"},{"id":"T21","span":{"begin":1204,"end":1206},"obj":"Chemical"}],"attributes":[{"id":"A18","pred":"chebi_id","subj":"T18","obj":"http://purl.obolibrary.org/obo/CHEBI_30780"},{"id":"A19","pred":"chebi_id","subj":"T19","obj":"http://purl.obolibrary.org/obo/CHEBI_74813"},{"id":"A20","pred":"chebi_id","subj":"T20","obj":"http://purl.obolibrary.org/obo/CHEBI_74813"},{"id":"A21","pred":"chebi_id","subj":"T21","obj":"http://purl.obolibrary.org/obo/CHEBI_74813"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-sentences

{"project":"LitCovid-sentences","denotations":[{"id":"T118","span":{"begin":0,"end":251},"obj":"Sentence"},{"id":"T119","span":{"begin":252,"end":310},"obj":"Sentence"},{"id":"T120","span":{"begin":311,"end":440},"obj":"Sentence"},{"id":"T121","span":{"begin":441,"end":608},"obj":"Sentence"},{"id":"T122","span":{"begin":609,"end":623},"obj":"Sentence"},{"id":"T123","span":{"begin":624,"end":673},"obj":"Sentence"},{"id":"T124","span":{"begin":674,"end":714},"obj":"Sentence"},{"id":"T125","span":{"begin":715,"end":763},"obj":"Sentence"},{"id":"T126","span":{"begin":764,"end":818},"obj":"Sentence"},{"id":"T127","span":{"begin":819,"end":866},"obj":"Sentence"},{"id":"T128","span":{"begin":867,"end":911},"obj":"Sentence"},{"id":"T129","span":{"begin":912,"end":963},"obj":"Sentence"},{"id":"T130","span":{"begin":964,"end":1008},"obj":"Sentence"},{"id":"T131","span":{"begin":1009,"end":1059},"obj":"Sentence"},{"id":"T132","span":{"begin":1060,"end":1111},"obj":"Sentence"},{"id":"T133","span":{"begin":1112,"end":1156},"obj":"Sentence"},{"id":"T134","span":{"begin":1157,"end":1203},"obj":"Sentence"},{"id":"T135","span":{"begin":1204,"end":1284},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PD-HP

{"project":"LitCovid-PD-HP","denotations":[{"id":"T22","span":{"begin":57,"end":69},"obj":"Phenotype"},{"id":"T23","span":{"begin":819,"end":829},"obj":"Phenotype"},{"id":"T24","span":{"begin":964,"end":971},"obj":"Phenotype"},{"id":"T25","span":{"begin":1009,"end":1021},"obj":"Phenotype"},{"id":"T26","span":{"begin":1060,"end":1074},"obj":"Phenotype"}],"attributes":[{"id":"A22","pred":"hp_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/HP_0000822"},{"id":"A23","pred":"hp_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/HP_0100749"},{"id":"A24","pred":"hp_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/HP_0002094"},{"id":"A25","pred":"hp_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/HP_0000822"},{"id":"A26","pred":"hp_id","subj":"T26","obj":"http://purl.obolibrary.org/obo/HP_0003077"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PubTator

{"project":"LitCovid-PubTator","denotations":[{"id":"193","span":{"begin":1163,"end":1166},"obj":"Gene"},{"id":"194","span":{"begin":614,"end":665},"obj":"Disease"},{"id":"195","span":{"begin":825,"end":829},"obj":"Disease"},{"id":"196","span":{"begin":867,"end":875},"obj":"Disease"},{"id":"197","span":{"begin":964,"end":971},"obj":"Disease"},{"id":"198","span":{"begin":1009,"end":1021},"obj":"Disease"},{"id":"199","span":{"begin":1060,"end":1074},"obj":"Disease"},{"id":"201","span":{"begin":539,"end":547},"obj":"Disease"},{"id":"204","span":{"begin":1204,"end":1206},"obj":"Disease"},{"id":"205","span":{"begin":1257,"end":1284},"obj":"Disease"},{"id":"210","span":{"begin":91,"end":94},"obj":"Gene"},{"id":"211","span":{"begin":57,"end":69},"obj":"Disease"},{"id":"212","span":{"begin":180,"end":188},"obj":"Disease"},{"id":"213","span":{"begin":373,"end":381},"obj":"Disease"}],"attributes":[{"id":"A193","pred":"tao:has_database_id","subj":"193","obj":"Gene:730249"},{"id":"A194","pred":"tao:has_database_id","subj":"194","obj":"MESH:C000657245"},{"id":"A195","pred":"tao:has_database_id","subj":"195","obj":"MESH:D010146"},{"id":"A196","pred":"tao:has_database_id","subj":"196","obj":"MESH:D003920"},{"id":"A197","pred":"tao:has_database_id","subj":"197","obj":"MESH:D004417"},{"id":"A198","pred":"tao:has_database_id","subj":"198","obj":"MESH:D006973"},{"id":"A199","pred":"tao:has_database_id","subj":"199","obj":"MESH:D006949"},{"id":"A201","pred":"tao:has_database_id","subj":"201","obj":"MESH:C000657245"},{"id":"A205","pred":"tao:has_database_id","subj":"205","obj":"MESH:D003324"},{"id":"A210","pred":"tao:has_database_id","subj":"210","obj":"Gene:730249"},{"id":"A211","pred":"tao:has_database_id","subj":"211","obj":"MESH:D006973"},{"id":"A212","pred":"tao:has_database_id","subj":"212","obj":"MESH:C000657245"},{"id":"A213","pred":"tao:has_database_id","subj":"213","obj":"MESH:D003920"}],"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":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

LitCovid-PMC-OGER-BB

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T82716","span":{"begin":1227,"end":1237},"obj":"UBERON:0002349"},{"id":"T1355","span":{"begin":1261,"end":1276},"obj":"UBERON:0001621"}],"text":"At multivariable logistic regression analysis (Table 3), hypertension (P \u003c 0.05) and known CAD (P \u003c 0.001) were significantly associated with abnormal stress SPECT-MPI during both COVID-19 pandemic and the corresponding months of the previous 3 years. No significant interactions among risk factors were found. During the 2017–2019 period, also male gender (P \u003c 0.001) and diabetes (P \u003c 0.05) were associated with abnormal stress SPECT-MPI.\nTable 3 Multivariable logistic regression analysis with abnormal MPI as dependent variable during COVID-19 emergency and during 2017–2019 3-year’s corresponding months\n2020 2017–2019\nβ coefficient SE P value β coefficient SE P value\nAge 0.005 0.023 0.834 − 0.004 0.007 0.60\nMale gender 0.162 0.639 0.799 0.671 0.166 \u003c .001\nBody mass index − 0.013 0.049 0.785 − 0.024 0.014 0.08\nChest pain 0.542 0.508 0.286 − 0.264 0.149 0.08\nDiabetes 0.565 0.466 0.225 0.310 0.148 \u003c .05\nFamily history 0.180 0.454 0.692 − 0.163 0.150 0.28\nDyspnea 0.362 0.382 0.343 − 0.085 0.120 0.48\nHypertension − 1.573 0.709 \u003c .05 0.376 0.196 \u003c .05\nHyperlipidemia 0.822 0.621 0.186 − 0.239 0.167 0.15\nSmoking 0.619 0.533 0.245 − 0.102 0.152 0.50\nKnown CAD 0.137 0.541 \u003c.001 1.994 0.154 \u003c .001\nSE standard error, MPI myocardial perfusion imaging, CAD coronary artery disease"}

PMC:7417201 / 14040-15324 JSONTXT

Annnotations TAB JSON ListView MergeView

PMC:7417201 / 14040-15324 JSON TXT