Prediction models for different types of leukemia: a systematic review and critical appraisal.

ABSTRACT:

Objectives

To systematically review and evaluate the methodological quality and risk of bias (ROB) of leukemia prediction models essential for clinical decision-making.

Methods

We reviewed 148 prediction models published before August 2023 from PubMed, Embase, Cochrane Library, and Web of science databases. Two reviewers independently screened articles and extracted data using CHARMS criteria. ROB was assessed using PROBAST. Models were categorized by leukemia subtype and analyzed for methodological characteristics.

Results

A total of 61 acute myeloid leukemia (AML) models primarily predicted survival (82.0%), diagnosis (4.9%), or death (4.9%) using predictors including age, cytogenetic risk, and white blood cell count. Among the 22 chronic myeloid leukemia (CML) mode

SUBMITTER: Tuerxun A 

PROVIDER: S-EPMC12476341 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature