Evidence map›Paper›PMID 40594141›Full record

ArticleScientific reports2025

Associations of pain phenotypes and pain relief medications with stroke and its subtypes: a prospective cohort study.

Yajie Zhu, Weidi Sun, Yuan Song, Dexter Canoy, Peige Song, Kazem Rahimi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Yajie ZhuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Weidi SunCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Yuan SongSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Dexter CanoyPopulation Health Sciences Institute, Newcastle University, Newcastle, UK.
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. peigesong@zju.edu.cn.
Kazem RahimiNuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This prospective study aimed to explore whether the associations between pain phenotypes, pain relief medications, and stroke risk differ by sex. We used data from 473,729 participants in the UK Biobank. Pain phenotypes were categorized as no pain, short-term pain, chronic localized pain (CLP), and chronic widespread pain (CWP). Stroke events, including ischaemic stroke and haemorrhagic stroke, were identified through hospital and death records. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) for stroke, with interaction terms included to assess sex differences. We also evaluated the association between pain relief medications and stroke risk among the chronic pain subcohort. CWP was associated with higher stroke risks in both men (HR 1.36, 95% CI 1.11-1.65) and women (HR 1.31, 95% CI 1.08-1.60); however, women with CLP exhibited a significantly higher risk of stroke (HR 1.16, 95% CI 1.08-1.25) and ischaemic stroke (HR 1.18, 95% CI 1.09-1.28), while no significant associations between CLP and stroke and subtypes were observed in men (p for sex interactions < 0.001). Regarding pain relief, aspirin use was associated with an increased risk of stroke (HR 1.19, 95% CI 1.08-1.30), and opioid use was linked to a greater increase in the risk of subarachnoid haemorrhage (HR 1.92, 95% CI 1.25-2.95). Chronic pain phenotypes, particularly in women and individuals with multiple CLP sites and CWP, were significantly associated with increased risks of stroke. Use of aspirin and opioids was also associated with higher stroke risks.

Indexed as

AnalgesicsChronic PainPainStrokeAgedAspirinFemaleHumansMaleMiddle AgedPain ManagementPhenotypeProportional Hazards ModelsProspective StudiesRisk FactorsSex FactorsAnalgesicsAspirinBody painPain reliefSex differenceStroke

Identifiers

PMID40594141
PMCPMC12218806

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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.