<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lee S</submitter><funding>National Cancer Center</funding><funding>National Research Foundation (Korea)</funding><funding>National Cancer Center (Korea)</funding><funding>National Research Foundation</funding><pagination>66</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8035736</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>BMC medical research methodology</journal><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.</pubmed_title><pmcid>PMC8035736</pmcid><funding_grant_id>NCC-2110450-1</funding_grant_id><funding_grant_id>NRF-2020R1A2C1A01011584</funding_grant_id><funding_grant_id>1710300-3</funding_grant_id><pubmed_authors>Lee S</pubmed_authors><pubmed_authors>Cho H</pubmed_authors><pubmed_authors>Chang YJ</pubmed_authors></additional><is_claimable>false</is_claimable><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.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2025-04-05T16:17:44.876Z</modification><creation>2022-02-09T15:46:31.006Z</creation></dates><accession>S-EPMC8035736</accession><cross_references><pubmed>33836666</pubmed><doi>10.1186/s12874-021-01257-2</doi></cross_references></HashMap>