Evidence Hub

Fibromyalgia in cancer patients: a systematic review and clinical implications for integrated care

Prete M, Porciello G, Palumbo E, Vitale S, Marchesini M, Bimonte S, Del Prato F, Cuomo A et al.

Frontiers in pain research (Lausanne, Switzerland), 2026

Abstract

Introduction: In oncology, fibromyalgia (FM) is increasingly recognized as a clinically relevant comorbidity, as cancer patients frequently present overlapping symptoms such as pain, fatigue, and sleep disturbances, complicating clinical assessment and management. Moreover, anticancer treatments may trigger or exacerbate FM-like symptoms. This systematic review aimed to synthesize the available evidence on FM in oncological patients, focusing on prevalence, clinical characteristics, and its impact on pain perception, Health-Related Quality of Life (HRQoL), and treatment adherence.

Methods: A comprehensive literature search was conducted in PubMed, Embase, and Scopus, including studies published from 2014 to 2024. Eligible studies, in accordance with PRISMA guidelines, included observational, cross-sectional and interventional designs involving adult patients with FM in the context of cancer or cancer-related pain. Conversely, studies not assessing FM in relation to cancer or cancer-related pain were excluded. Risk of bias was evaluated using ROBINS-I tool and the RoB 2 tool.

Results: A total of 11 studies were included, encompassing heterogeneous populations and study designs, thereby precluding a quantitative synthesis of the literature. Overall, evidence suggests that FM did not increase cancer risk but significantly contributes to pain amplification, higher symptom burden, reduced HRQoL, and impaired treatment adherence. Pre-existing nociplastic pain features were…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free