Evidence map›Paper›PMID 41127854›Full record

ArticleJournal of pain research2025

The Genetic Association Between Prescription Pain Medication Use and the Risk for Fibromyalgia: A Bidirectional and Multivariable Mendelian Randomization Analysis.

Gaojie Zhou, Wei Cao, Shuang Liang, Ziyu Ye, Zhuoyi Liu, Wangyuan Zou

Abstract read
In one paragraph

Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gaojie Zhou *Department of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.
Wei Cao *Department of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.
Shuang LiangDepartment of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.
Ziyu YeDepartment of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.
Zhuoyi LiuDepartment of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.
Wangyuan ZouDepartment of Anesthesiology, Xiangya Hospital, Central South University, Hunan Province Clinical Research Center for Anesthesia and Perioperative Medicine, Changsha, People's Republic of China.ORCID 0000-0003-4813-2806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Increasing evidence has indicated that prescription opioid use is associated with poor prognosis in patients with fibromyalgia. However, it remains unknown whether there are causal associations between prescription opioid and fibromyalgia. Methods: We performed a bidirectional two-sample MR analysis using genetic variants associated with prescription pain medication use and fibromyalgia from genome-wide association studies (GWAS). Multivariable Mendelian randomization (MVMR) was further employed to ascertain the causal relationship, incorporating confounders such as major depressive disorder (MDD), anxiety disorders (ADs) and insomnia. A mediation MR analysis was conducted to assess their potential mediating roles. Results: The forward two-sample Mendelian analysis revealed a positive causal role in the contribution of prescription opioid use to fibromyalgia, as indicated by the Inverse Variance Weighted (IVW) method (OR = 1.42, 95% CI: 1.17, 1.72, Conclusion: Our findings provide genetic evidence supporting causal relationship for prescription opioid use on a high risk of fibromyalgia. This association remains robust after adjustment for MDD, ADs and insomnia. Given the potential for opioid prescriptions to increase the risk of developing fibromyalgia, clinicians should prioritize alternative, evidence-based pain management strategies.

Indexed as

fibromyalgiagenome-wide association studiesMendelian randomizationopioids

Identifiers

PMID41127854
PMCPMC12537515

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.