Evidence map›Paper›PMID 31777833›Full record

ArticleACR open rheumatology2019

Fibromyalgia Assessment Screening Tools (FAST) Based on Only Multidimensional Health Assessment Questionnaire (MDHAQ) Scores as Clues to Fibromyalgia.

Juan Schmukler, Shakeel Jamal, Isabel Castrejon, Joel A Block, Theodore Pincus

Abstract read
In one paragraph

Article in ACR open rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Physician estimate of inflammationRheumatology advances in practice · 2024
    Article
  7. Article
  8. Article
  9. Article
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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.

Juan SchmuklerDivision of Rheumatology, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID https://orcid.org/0000-0001-5708-5971
Shakeel JamalDivision of Rheumatology, Rush University Medical Center, Chicago, IL, 60612, USA.
Isabel CastrejonDivision of Rheumatology, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID https://orcid.org/0000-0003-1811-2417
Joel A BlockDivision of Rheumatology, Rush University Medical Center, Chicago, IL, 60612, USA.
Theodore PincusDivision of Rheumatology, Rush University Medical Center, Chicago, IL, 60612, USA.ORCID https://orcid.org/0000-0002-8998-8865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study was designed to develop fibromyalgia assessment screening tool (FAST) indices based only on multidimensional health assessment questionnaire (MDHAQ) scores as clues to fibromyalgia (FM), analyzed for possible agreement with the 2011 FM criteria.

methodsAll patients with all diagnoses complete an MDHAQ at each visit in routine care. The MDHAQ includes scores for physical function, pain, global assessment, fatigue, self-report painful joint count, and a 60-symptom checklist. MDHAQ items similar or identical to the 2011 FM criteria symptom severity scale (SSS) and widespread pain index (WPI) components of a polysymptomatic distress scale (PSD) were compiled into continuous MDHAQ-FM-SSS, MDHAQ-FM-WPI, and MDHAQ-FM-PSD indices. Ten candidate MDHAQ scores were analyzed against the 2011 FM criteria using descriptive statistics, Spearman correlations, kappa statistics, and receiver operating characteristic curves for the area under the curve (AUC). MDHAQ candidate variables with the highest AUC were compiled into cumulative MDHAQ-FAST indices of three (FAST3) or four (FAST4) scores.

resultsThe highest AUCs among MDHAQ scores were seen for symptom checklist, painful joint count, fatigue, and pain, which are included in FAST4; FAST3-F excludes pain, and FAST3-P excludes fatigue. AUCs for FAST3-P, FAST3-F, and FAST4, as well as continuous MDHAQ-FM scores, all were greater than 0.92, indicating excellent criterion validity. Kappa statistics versus the 2011 criteria were 0.63-0.68, higher than 0.41-0.47 versus physician ICD-10 diagnoses.

conclusionPragmatic FAST3, FAST4, and MDHAQ-FM indices are similar to FM criteria to screen for FM in routine care. It is more feasible to collect the same MDHAQ, which is informative in all rheumatic diseases studied, from each patient than to ask different patients with different diagnoses to complete different questionnaires.

Identifiers

PMID31777833
PMCPMC6857971

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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.