Cited by 347Fibromyalgia and Chronic Fatigue Syndrome ResearchPsychosomatic Disorders and Their TreatmentsMusculoskeletal pain and rehabilitation

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Fibromyalgia diagnosis and biased assessment: Sex, prevalence and bias

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Wolfe, Frederick, Walitt, Brian, Perrot, Serge, Rasker, Johannes J., Häuser, Winfried·2018·PLOS ONE

DOI 10.1371/journal.pone.0203755PMC PMC6136749

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Abstract

PURPOSE: Multiple clinical and epidemiological studies have provided estimates of fibromyalgia prevalence and sex ratio, but different criteria sets and methodology, as well as bias, have led to widely varying (0.4%->11%) estimates of prevalence and female predominance (>90% to <61%). In general, studies have failed to distinguish Criteria based fibromyalgia (CritFM) from Clinical fibromyalgia (ClinFM). In the current study we compare CritFM with ClinFM to investigate gender and other biases in the diagnosis of fibromyalgia. METHODS: We used a rheumatic disease databank and 2016 fibromyalgia criteria to study prevalence and sex ratios in a selection biased sample of 1761 referred and diagnosed fibromyalgia patients and in an unbiased sample of 4342 patients with no diagnosis with respect to fibromyalgia. We compared diagnostic and clinical variables according to gender, and we reanalyzed a German population study (GPS) (n = 2435) using revised 2016 criteria for fibromyalgia. RESULTS: In the selection-biased sample of referred patients with fibromyalgia, more than 90% were women. However, when an unselected sample of rheumatoid arthritis (RA) patients was studied for the presence of fibromyalgia, women represented 58.7% of fibromyalgia cases. Women had slightly more symptoms than men, including generalized pain (36.8% vs. 32.4%), count of 37 symptoms (4.7 vs. 3.7) and mean polysymptomatic distress scores (10.2 vs. 8.2). We also found a linear relation between the probability of being females and fibromyalgia and fibromyalgia severity. Women in the GPS represented 59.2% of cases. DISCUSSION: The perception of fibromyalgia as almost exclusively (≥90%) a women's disorder is not supported by data in unbiased studies. Using validated self-report criteria and unbiased selection, the female proportion of fibromyalgia cases was ≤60% in the unbiased studies, and the observed CritFM prevalence of fibromyalgia in the GPS was ~2%. ClinFM is the public face of fibromyalgia, but is severely affected by selection and confirmation bias in the clinic and publications, underestimating men with fibromyalgia and overestimating women. We recommend the use of 2016 fibromyalgia criteria for clinical diagnosis and epidemiology because of its updated scoring and generalized pain requirement. Fibromyalgia and generalized pain positivity, widespread pain (WPI), symptom severity scale (SSS) and polysymptomatic distress (PSD) scale should always be reported.

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Authors: Wolfe, F., Walitt, B., Perrot, S., Rasker, J. J., & Häuser, W.
Affiliations: University of Kansas (US)
Georgetown University (US)
Hôpital Cochin (FR)
University of Twente (NL)
Klinikum Saarbrücken (DE)
Corresponding author: Wolfe, Frederick
ORCID: Wolfe, Frederick
Walitt, Brian
Perrot, Serge
Rasker, Johannes J.
Häuser, Winfried
Venue: PLOS ONE
Publisher: Public Library of Science (PLoS)
Published: 2018-09-13
Volume: 13
Issue: 9
Pages: e0203755
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0203755
PMC: PMC6136749
OpenAlex: W2890457018
Cited by: 346
References: 51
Citations by year: 2026: 45 · 2025: 43 · 2024: 51 · 2023: 58 · 2022: 47 · 2021: 45 · 2020: 39 · 2019: 17 · 2018: 1
FWCI: 20.26
Type: journal article
Language: en
Open access: gold
doi.org
Licence: public-domain
creativecommons.org/publicdomain/zero/1.0/ (vor)
Locations: PLoS ONE (publishedVersion, public-domain)
Europe PMC (PubMed Central) (publishedVersion, public-domain)
PubMed Central (publishedVersion, public-domain)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Figshare (submittedVersion, cc-by)
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
University of Twente Research Information (submittedVersion, cc-by)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
Keywords: fibromyalgia, sex bias, prevalence, sex ratio, diagnostic criteria, selection bias, confirmation bias, gender differences, rheumatoid arthritis, pain symptoms
MeSH terms: Aged, Arthritis, Rheumatoid, Female, Fibromyalgia, Germany, Humans, Longitudinal Studies, Male, Middle Aged, Pain, Severity of Illness Index, Sex Factors, Prevalence, Databases, Factual, Self Report, Sexism

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Fibromyalgia diagnosis and biased assessment: Sex, prevalence and bias

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