FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320932974> ?p ?o ?g. }

• W4320932974 endingPage "887" @default.
• W4320932974 startingPage "878" @default.
• W4320932974 abstract "Abstract Objective There are over 363 customized risk models of the American College of Cardiology and the American Heart Association (ACC/AHA) pooled cohort equations (PCE) in the literature, but their gains in clinical utility are rarely evaluated. We build new risk models for patients with specific comorbidities and geographic locations and evaluate whether performance improvements translate to gains in clinical utility. Materials and Methods We retrain a baseline PCE using the ACC/AHA PCE variables and revise it to incorporate subject-level information of geographic location and 2 comorbidity conditions. We apply fixed effects, random effects, and extreme gradient boosting (XGB) models to handle the correlation and heterogeneity induced by locations. Models are trained using 2 464 522 claims records from Optum©’s Clinformatics® Data Mart and validated in the hold-out set (N = 1 056 224). We evaluate models’ performance overall and across subgroups defined by the presence or absence of chronic kidney disease (CKD) or rheumatoid arthritis (RA) and geographic locations. We evaluate models’ expected utility using net benefit and models’ statistical properties using several discrimination and calibration metrics. Results The revised fixed effects and XGB models yielded improved discrimination, compared to baseline PCE, overall and in all comorbidity subgroups. XGB improved calibration for the subgroups with CKD or RA. However, the gains in net benefit are negligible, especially under low exchange rates. Conclusions Common approaches to revising risk calculators incorporating extra information or applying flexible models may enhance statistical performance; however, such improvement does not necessarily translate to higher clinical utility. Thus, we recommend future works to quantify the consequences of using risk calculators to guide clinical decisions." @default.
• W4320932974 created "2023-02-16" @default.
• W4320932974 creator A5010316094 @default.
• W4320932974 creator A5041175834 @default.
• W4320932974 creator A5048202246 @default.
• W4320932974 creator A5065839612 @default.
• W4320932974 date "2023-02-16" @default.
• W4320932974 modified "2023-09-30" @default.
• W4320932974 title "Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease" @default.
• W4320932974 cites W1749910810 @default.
• W4320932974 cites W1966086645 @default.
• W4320932974 cites W1972283434 @default.
• W4320932974 cites W1976716107 @default.
• W4320932974 cites W1986651275 @default.
• W4320932974 cites W2003136392 @default.
• W4320932974 cites W2014187955 @default.
• W4320932974 cites W2041256948 @default.
• W4320932974 cites W2045030989 @default.
• W4320932974 cites W2054193584 @default.
• W4320932974 cites W2129925362 @default.
• W4320932974 cites W2132432664 @default.
• W4320932974 cites W2149407433 @default.
• W4320932974 cites W2151056789 @default.
• W4320932974 cites W2155693549 @default.
• W4320932974 cites W2226880313 @default.
• W4320932974 cites W2399385044 @default.
• W4320932974 cites W2805499342 @default.
• W4320932974 cites W2897141163 @default.
• W4320932974 cites W2904356389 @default.
• W4320932974 cites W2921012991 @default.
• W4320932974 cites W2953059279 @default.
• W4320932974 cites W2958550040 @default.
• W4320932974 cites W2967844572 @default.
• W4320932974 cites W3014464542 @default.
• W4320932974 cites W3024269057 @default.
• W4320932974 cites W3025479223 @default.
• W4320932974 cites W3032628991 @default.
• W4320932974 cites W3094821226 @default.
• W4320932974 cites W3107969206 @default.
• W4320932974 cites W3164598001 @default.
• W4320932974 cites W3172996796 @default.
• W4320932974 cites W3186942846 @default.
• W4320932974 cites W4200292589 @default.
• W4320932974 cites W4225467542 @default.
• W4320932974 doi "https://doi.org/10.1093/jamia/ocad017" @default.
• W4320932974 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36795076" @default.
• W4320932974 hasPublicationYear "2023" @default.
• W4320932974 type Work @default.
• W4320932974 citedByCount "0" @default.
• W4320932974 crossrefType "journal-article" @default.
• W4320932974 hasAuthorship W4320932974A5010316094 @default.
• W4320932974 hasAuthorship W4320932974A5041175834 @default.
• W4320932974 hasAuthorship W4320932974A5048202246 @default.
• W4320932974 hasAuthorship W4320932974A5065839612 @default.
• W4320932974 hasBestOaLocation W43209329741 @default.
• W4320932974 hasConcept C105795698 @default.
• W4320932974 hasConcept C111368507 @default.
• W4320932974 hasConcept C126322002 @default.
• W4320932974 hasConcept C12725497 @default.
• W4320932974 hasConcept C127313418 @default.
• W4320932974 hasConcept C149782125 @default.
• W4320932974 hasConcept C165838908 @default.
• W4320932974 hasConcept C2778653478 @default.
• W4320932974 hasConcept C2779159551 @default.
• W4320932974 hasConcept C33923547 @default.
• W4320932974 hasConcept C41008148 @default.
• W4320932974 hasConcept C535046627 @default.
• W4320932974 hasConcept C71924100 @default.
• W4320932974 hasConceptScore W4320932974C105795698 @default.
• W4320932974 hasConceptScore W4320932974C111368507 @default.
• W4320932974 hasConceptScore W4320932974C126322002 @default.
• W4320932974 hasConceptScore W4320932974C12725497 @default.
• W4320932974 hasConceptScore W4320932974C127313418 @default.
• W4320932974 hasConceptScore W4320932974C149782125 @default.
• W4320932974 hasConceptScore W4320932974C165838908 @default.
• W4320932974 hasConceptScore W4320932974C2778653478 @default.
• W4320932974 hasConceptScore W4320932974C2779159551 @default.
• W4320932974 hasConceptScore W4320932974C33923547 @default.
• W4320932974 hasConceptScore W4320932974C41008148 @default.
• W4320932974 hasConceptScore W4320932974C535046627 @default.
• W4320932974 hasConceptScore W4320932974C71924100 @default.
• W4320932974 hasFunder F4320337338 @default.
• W4320932974 hasIssue "5" @default.
• W4320932974 hasLocation W43209329741 @default.
• W4320932974 hasLocation W43209329742 @default.
• W4320932974 hasLocation W43209329743 @default.
• W4320932974 hasLocation W43209329744 @default.
• W4320932974 hasOpenAccess W4320932974 @default.
• W4320932974 hasPrimaryLocation W43209329741 @default.
• W4320932974 hasRelatedWork W2125404607 @default.
• W4320932974 hasRelatedWork W2413300777 @default.
• W4320932974 hasRelatedWork W2748952813 @default.
• W4320932974 hasRelatedWork W2899084033 @default.
• W4320932974 hasRelatedWork W2981884515 @default.
• W4320932974 hasRelatedWork W3003571257 @default.
• W4320932974 hasRelatedWork W3118091760 @default.
• W4320932974 hasRelatedWork W3197918475 @default.
• W4320932974 hasRelatedWork W4377262157 @default.

• next