Ontology highlight
ABSTRACT: Objective
To quantify the predictive value of unexpected weight loss for cancer according to patient's age, sex, smoking status, and concurrent clinical features (symptoms, signs, and abnormal blood test results).Design
Diagnostic accuracy study (update).Setting
Data from Clinical Practice Research Datalink electronic health records linked to the National Cancer Registration and Analysis Service in primary care, England.Participants
326 240 adults (≥18 years) with a code for unexpected weight loss from 1 January 2000 to 31 December 2019.Main outcome measures
Cancer diagnosis in the six months after the earliest weight loss code (index date). Codes for additional clinical features were identified in the three months before to one month after the index
SUBMITTER: Nicholson BD
PROVIDER: S-EPMC11480917 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature