Evidence map›Paper›PMID 26599910›Full record

ArticlePloS one2015

The Association between Chronic Widespread Musculoskeletal Pain, Depression and Fatigue Is Genetically Mediated.

Andrea Burri, Soshiro Ogata, Gregory Livshits, Frances Williams

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

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3 · Its place in the literature

Who cites it

18 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

4 authors.

Andrea BurriDepartment of Twin Research and Genetic Epidemiology, King's College London, St. Thomas´ Hospital, London, United Kingdom.
Soshiro OgataDepartment of Health Promotion Science, Osaka University Graduate School of Medicine, Suita, 565-087, Osaka, Japan.
Gregory LivshitsDepartment of Twin Research and Genetic Epidemiology, King's College London, St. Thomas´ Hospital, London, United Kingdom.
Frances WilliamsDepartment of Twin Research and Genetic Epidemiology, King's College London, St. Thomas´ Hospital, London, United Kingdom.

Funding

Arthritis Research UK 20682Wellcome Trust
6 · The paper itself

Abstract

backgroundChronic widespread muscoloskeletal pain (CWP) is prevalent in the general population and associated with high health care costs, so understanding the risk factors for chronic pain is important for both those affected and for society. In the present study we investigated the underlying etiological structure of CWP to understand better the association between the major clinical features of fatigue, depression and dihydroepiandrosterone sulphate (DHEAS) using a multivariate twin design. METHODOLOGY/PRINCIPLE

findingsData were available in 463 UK female twin pairs including CWP status and information on depression, chronic fatigue and serum DHEAS levels. High to moderate heritabilities for all phenotypes were obtained (42.58% to 74.24%). The highest phenotypic correlation was observed between fatigue and CWP (r = 0.45), and the highest genetic correlation between CWP and fatigue (rg = 0.78). Structural equation modeling revealed the AE Cholesky model to provide the best model of the observed data. In this model, two additive genetic factors could be detected loading heavily on CWP-A2 explaining 40% of the variance and A3 20%. The factor loading heaviest on DHEAS showed only a small loading on the other phenotypes and none on fatigue at all. Furthermore, one distinct non-shared environmental factor loading specifically on CWP-but not on any of the other phenotypes-could be detected suggesting that the association between CWP and the other phenotypes is due only to genetic factors. CONCLUSIONS/SIGNIFICANCE: Our results suggest that CWP and its associated features share a genetic predisposition but that they are relatively distinct in their environmental determinants.

Indexed as

AdultAgedAged, 80 and overChronic PainDepressionDihydrotestosteroneFatigueFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansMaleMiddle AgedMusculoskeletal PainPain MeasurementRisk FactorsDihydrotestosterone

Identifiers

PMID26599910
PMCPMC4657992

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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.