Development and external validation of a clinical prediction model to aid coeliac disease diagnosis in primary care: An observational study.

ABSTRACT:

Background

Coeliac disease (CD) affects approximately 1% of the population, although only a fraction of patients are diagnosed. Our objective was to develop diagnostic prediction models to help decide who should be offered testing for CD in primary care.

Methods

Logistic regression models were developed in Clinical Practice Research Datalink (CPRD) GOLD (between Sep 9, 1987 and Apr 4, 2021, n=107,075) and externally validated in CPRD Aurum (between Jan 1, 1995 and Jan 15, 2021, n=227,915), two UK primary care databases, using (and controlling for) 1:4 nested case-control designs. Candidate predictors included symptoms and chronic conditions identified in current guidelines and using a systematic review of the literature. We used elastic-net regression to further refine the m

SUBMITTER: Elwenspoek MMC 

PROVIDER: S-EPMC9011008 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature