Evidence map›Paper›PMID 39109111›Full record

ArticleCureus2024

The Prevalence of Fibromyalgia in Rheumatoid Arthritis Patients Using the Fibromyalgia Assessment Screening Tool (FAST 4) Based on the Multidimensional Health Assessment Questionnaire (MDHAQ).

Hind El-Kasmi, Bouchra Amine, Anbar Kabbaj, Samira Rostom, Imane El Binoune, Samia El Hilali, Rachid Bahiri

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Hind El-KasmiRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.
Bouchra AmineRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.
Anbar KabbajRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.
Samira RostomRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.
Imane El BinouneRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.
Samia El HilaliLaboratory of Community Health (Public Health, Preventive Medicine and Hygiene) Department of Public Health, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, MAR.
Rachid BahiriRheumatology A, El Ayachi Hospital, Ibn Sina University Hospital, Rabat-Salé, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Fibromyalgia (FM) is characterized by widespread pain and fatigue, accompanied by symptoms such as decreased concentration, autonomic dysfunction, and abdominal pain. It can be either primary or secondary, notably to rheumatoid arthritis (RA). The Fibromyalgia Assessment Screening Tools (FAST 4), derived from the Multidimensional Health Assessment Questionnaire (MDHAQ), is a composite tool allowing for the rapid screening of FM. Our primary objective is to determine the prevalence of FM among RA patients using the FAST 4 index. Secondary objectives include comparing the FAST 4 index with the FiRST score and describing the correlation between FM and RA activity and different factors associated with FM in RA patients. Methods This was an observational cross-sectional study including patients diagnosed with RA according to the ACR/EULAR criteria. The FAST questionnaire comprises four sections assessing pain and fatigue on a visual analog scale, painful joints reported by the patient, and a list of 60 symptoms. A FAST 4 score of ≥ 3/4 indicates a positive screening for FM. Demographics and disease features were compared using descriptive statistics. Univariate and multivariate analyses using logistic regression models were performed to calculate odds ratios (ORs) with 95% CI. The sensitivity and specificity of the FAST 4 index were evaluated, and Fagan's nomograms were used to illustrate post-test probability. Statistically significant results were considered for p-values less than 0.05. Results The study enrolled 97 patients diagnosed with RA. The mean age of the patients was 56 ± 12.7 years, with a predominance of females (90.7%, N=88). The mean duration of RA was 13.5 ± 8.69 years. RA activity measured by DAS 28-ESR showed that 40.2% (N=39) had high disease activity, 38.1% (N=37) had moderate disease activity, 11.3% (N=11) had low disease activity, and 10.3% (N=10) were in remission. The prevalence of comorbid FM, according to the FAST 4 index, was 30.9% (N=30). Based on the Multidimensional Health Assessment Questionnaire (MDHAQ), depression was observed in 66.7% (N=20) patients with FM, while anxiety was reported in 60% (N=18). Moreover, 30.4% of patients screened positive for FM using the FiRST score. The FAST 4 index detected FM patients defined by FiRST with a sensitivity of 78.6% and a specificity of 87.1%. The positive predictive value (PPV) was 73.3%, and the negative predictive value (NPV) was 90%. Univariate analysis revealed that a positive FAST 4 index was associated with the number of painful and swollen joints (p<0.001 and 0.03, respectively). Additionally, patients with a positive FAST 4 index showed higher DAS 28 scores (p=0.002). No significant association was found with CRP levels (p=0.328), ESR (p=0.499), or the use of biological treatments (p=0.146) or corticosteroids (p=0.940). In multivariate analysis, only depression remained a risk factor, increasing the risk sixfold with an OR of 5.917, 95% CI (1.91-18.3), p=0.002. Conclusion Our study suggests a high prevalence of concomitant FM in our population, highlighting the importance of screening for FM, particularly using the FAST 4 index based solely on the MDHAQ questionnaire.

Indexed as

disease activity score 28 joint countfastfibromyalgiafibromyalgia assessment screening toolfibromyalgia rapid screening toolfirstmultidimensional health assessment questionnairerheumatoid arthritis

Identifiers

PMID39109111
PMCPMC11302173

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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.