From simple factors to artificial intelligence: evolution of prognosis prediction in childhood cancer: a systematic review and meta-analysis.

ABSTRACT:

Background

Current paediatric cancer care requires innovative approaches to predict prognosis that facilitates personalised stratification, yet studies on the performance, composition and limitations of contemporary prognostic models are lacking. We aimed to compare the accuracy of traditional and advanced prognostic models.

Methods

A systematic search for this systematic review and meta-analysis (CRTN42022370251) was conducted in PubMed, Embase, Scopus, and the Cochrane Library databases on 28 June 2024. Studies on the accuracy of prognostic markers or models used in paediatric haematological malignancies, central nervous system (CNS), or non-CNS solid tumours (NCNSST) were included. Three model categories were defined using: 1-clinical parameters, 2-genomic-transcriptomic

SUBMITTER: Varga P 

PROVIDER: S-EPMC11617957 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature