Evidence map›Paper›PMID 41755904›Full record

ArticleJournal of pain research2026

A Comprehensive Mendelian Randomization Study of Bidirectional Causal Relationships Between Pain and Mental Disorders.

Xiao Liang, Yuchao Fan

Abstract read
In one paragraph

Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Xiao LiangDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yuchao FanDepartment of Anesthesiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0001-8565-2777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pain and mental disorders frequently co-occur, yet the direction and specificity of their relationship remain uncertain due to limitations of observational studies. Mendelian randomization (MR) provides an opportunity to clarify causal links between distinct pain phenotypes and psychiatric outcomes. Methods: We performed a comprehensive bidirectional MR analysis to investigate causal relationships between multiple pain conditions and mental and personality disorders. Multivariable MR was applied to assess the independence of these associations while accounting for common comorbidities. Robustness was evaluated using complementary sensitivity analyses. Results: Forward analyses showed that several pain phenotypes - including back pain, headaches, neck or shoulder pain, stomach or abdominal pain, migraine, and trigeminal neuralgia-were associated with increased risk of specific mental disorders. Reverse analyses indicated that mental disorders also predispose individuals to certain pain conditions. Most associations remained robust after multivariable adjustment, although some were attenuated by obesity or substance use. Conclusion: These findings demonstrate structured, pain - type - specific bidirectional relationships between pain and mental disorders. Clinically, they support phenotype-informed screening and management strategies, including targeted assessment of depression and anxiety in patients with high-risk pain conditions and proactive evaluation of pain symptoms in patients with mental disorders, to facilitate earlier risk stratification and integrated care.

Indexed as

bidirectional mendelian randomizationcausal effectmental disordersmultivariate mendelian randomizationpain

Identifiers

PMID41755904
PMCPMC12934245

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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.