Clinical prediction models for febrile neutropenia and its outcomes: a systematic review.

ABSTRACT:

Purpose

Febrile neutropenia (FN) is a life-threatening complication of chemotherapy. Although practice guidelines suggest the use of existing prediction models when making decisions to prevent and treat FN, recent evidence suggests that these models are limited in their discriminative ability. This study aims to systematically review and critically evaluate the recent literature to assess the question: what evidence-based clinical prediction models can be used to predict FN or its outcomes?

Methods

PubMed, EMBASE, Web of Science, and SCOPUS were searched for primary journal articles that developed or validated models that predicted FN or outcomes in patients with FN. Risk of bias was critically evaluated using the Prediction model Risk of Bias Assessment Tool (PROBAST).

R

SUBMITTER: Sheehy J 

PROVIDER: S-EPMC12137469 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature