{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lee S"],"funding":["National Cancer Center","National Research Foundation (Korea)","National Cancer Center (Korea)","National Research Foundation"],"pagination":["66"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8035736"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["21(1)"],"pubmed_abstract":["<h4>Background</h4>Cancer patients' prognoses are complicated by comorbidities. Prognostic prediction models with inappropriate comorbidity adjustments yield biased survival estimates. However, an appropriate claims-based comorbidity risk assessment method remains unclear. This study aimed to compare methods used to capture comorbidities from claims data and predict non-cancer mortality risks among cancer patients.<h4>Methods</h4>Data were obtained from the National Health Insurance Service-National Sample Cohort database in Korea; 2979 cancer patients diagnosed in 2006 were considered. Claims-based Charlson Comorbidity Index was evaluated according to the various assessment methods: different periods in washout window, lookback, and claim types. The prevalence of comorbidities and associa"],"journal":["BMC medical research methodology"],"pubmed_title":["Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea."],"pmcid":["PMC8035736"],"funding_grant_id":["NCC-2110450-1","NRF-2020R1A2C1A01011584","1710300-3"],"pubmed_authors":["Lee S","Cho H","Chang YJ"],"additional_accession":[]},"is_claimable":false,"name":"Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea.","description":"<h4>Background</h4>Cancer patients' prognoses are complicated by comorbidities. Prognostic prediction models with inappropriate comorbidity adjustments yield biased survival estimates. However, an appropriate claims-based comorbidity risk assessment method remains unclear. This study aimed to compare methods used to capture comorbidities from claims data and predict non-cancer mortality risks among cancer patients.<h4>Methods</h4>Data were obtained from the National Health Insurance Service-National Sample Cohort database in Korea; 2979 cancer patients diagnosed in 2006 were considered. Claims-based Charlson Comorbidity Index was evaluated according to the various assessment methods: different periods in washout window, lookback, and claim types. The prevalence of comorbidities and associa","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2025-04-05T16:17:44.876Z","creation":"2022-02-09T15:46:31.006Z"},"accession":"S-EPMC8035736","cross_references":{"pubmed":["33836666"],"doi":["10.1186/s12874-021-01257-2"]}}