Evidence map›Paper›PMID 38939595›Full record

ArticleJACC. Advances2023

Multisite Pain and Myocardial Infarction and Stroke: A Prospective Cohort and Mendelian Randomization Analysis.

Jing Tian, Yuan Zhou, Xin Lin, Graeme Jones, Feng Pan

Abstract read
In one paragraph

Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Jing TianMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Yuan ZhouMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Xin LinMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Graeme JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Feng PanMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whether individuals with multisite pain had a higher risk of cardiovascular diseases is unclear. Objectives: The purpose of this study was to investigate the longitudinal association of pain in multiple sites with incident myocardial infarction (MI) and stroke, and to disentangle the genetic causality of these associations. Methods: A total of 281,760 participants (mean age: 56.3 years) who had no MI and stroke at baseline from UK Biobank study were included. Data on pain in the hip, knee, back and neck/shoulder, or 'all over the body' were collected. Chronic pain was defined if pain had lasted for ≥3 months. MI and stroke events were determined from hospital admission records and death registries. Cox regression and 2-sample Mendelian randomization were used for the analyses. Results: During a median follow-up of 11.9 years, 4,854 had a first MI and 2,827 had a first stroke. In multivariable analyses, greater number of painful sites was dose-responsively associated with higher risks of incident MI and stroke, with a higher risk among participants with pain 'all over the body' (MI: HR: 1.65, 95% CI: 1.32-2.07; stroke: HR: 1.44, 95% CI: 1.13-1.85). Similar trends and associations were observed in those with chronic pain. Two-sample Mendelian randomization results supported a causal effect of multisite pain on MI risk, but not vice versa. No causal association was found between multisite pain and stroke risk. Conclusions: Pain in multiple sites causally increases the risk of MI, highlighting that pain should be considered when assessing individuals' MI risk, and pain treatment and management may prevent MI risk.

Indexed as

causalityMendelian randomizationmusculoskeletal painmyocardial infarctionriskstroke

Identifiers

PMID38939595
PMCPMC11198351

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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.