{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Xu Z"],"funding":["National Health and Medical Research Council"],"pagination":["902"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9074356"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["<h4>Background</h4>National mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions.<h4>Methods</h4>The sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death.<h4>Results</h4>Among women who had a record of each of these conditions in th"],"journal":["BMC public health"],"pubmed_title":["Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study."],"pmcid":["PMC9074356"],"funding_grant_id":["APP1171319"],"pubmed_authors":["McElwee P","Waller M","Dobson A","Xu Z","Hockey R"],"additional_accession":[]},"is_claimable":false,"name":"Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study.","description":"<h4>Background</h4>National mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions.<h4>Methods</h4>The sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death.<h4>Results</h4>Among women who had a record of each of these conditions in th","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 May","modification":"2025-05-31T23:43:00.309Z","creation":"2024-11-12T11:49:12.571Z"},"accession":"S-EPMC9074356","cross_references":{"pubmed":["35524227"],"doi":["10.1186/s12889-022-13304-8"]}}