Unknown

Dataset Information

Broad external validation of a multivariable risk prediction model for gastrointestinal malignancy in iron deficiency anaemia.


ABSTRACT:

Background

Using two large datasets from Dorset, we previously reported an internally validated multivariable risk model for predicting the risk of GI malignancy in IDA-the IDIOM score. The aim of this retrospective observational study was to validate the IDIOM model using two independent external datasets.

Methods

The external validation datasets were collected, in a secondary care setting, by different investigators from cohorts in Oxford and Sheffield derived under different circumstances, comprising 1117 and 474 patients with confirmed IDA respectively. The data were anonymised prior to analysis. The predictive performance of the original model was evaluated by estimating measures of calibration, discrimination and clinical utility using the validation datasets.

Resul

SUBMITTER: Almilaji O 

PROVIDER: S-EPMC8672477 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature