Evidence map›Paper›PMID 35802613›Full record

ArticlePloS one2022

Development and test-retest reliability of a screening tool for axial spondyloarthritis.

Divya Shridharmurthy, Kate L Lapane, Sara Khan, Esther Yi, Jonggyu Baek, Jonathan Kay, Shao-Hsien Liu

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Divya ShridharmurthyDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Sara KhanDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Esther YiNovartis Pharmaceuticals Corporation, East Hanover, New Jersey, United States of America.
Jonggyu BaekDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.
Jonathan KayDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0002-8970-4260
Shao-Hsien LiuDivision of Epidemiology, Department of Population and Quantitative Health Sciences, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0003-4317-4986

Funding

University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
NCATS NIH HHS UL1 TR000161
6 · The paper itself

Abstract

backgroundPeople with axial Spondyloarthritis (axSpA) suffer from lengthy diagnostic delays of ~7 years. The usage of screening tools to identify axSpA patients in primary care can reduce diagnostic delays by facilitating early referral to rheumatologic care. The purpose of this study was to examine the psychometric properties of a potential screening tool for patients with axSpA.

methodContent validity was evaluated by soliciting feedback from 7 rheumatologists regarding the relevance and content representativeness of the proposed screening questions. For the test-retest study, participants ≥18 years of age with chronic back pain (≥3 months) without a diagnosis of mechanical or inflammatory back pain (n = 91) were e-recruited through ResearchMatch. Participation included completing identical baseline and follow-up questionnaires ~14 days apart. Weighted quadratic kappa was used to measure test-retest reliability between the two ratings of the ordinal scales. Construct validity was examined using exploratory factor analysis (EFA) and items with factor loadings ≥0.6 were extracted. Scale dimensionality and simplified factorial solutions were measured using Kaiser's criteria (Eigenvalue >1). Cronbach's alpha was used to measure internal consistency.

resultsMost participants were women, non-Hispanic white, and had at least some college education, with a mean age of 45 years. On average, the age at onset of back pain was 31 years. Eleven questions yielded test-retest reliabilities ranging from 0.6 to 0.76. Results from EFA extracted two factors relating to: 1) how pain affects daily life functioning and 2) whether pain improves with movement. Internal consistency was high for questions evaluating how pain affects life, with a Cronbach's alpha of 0.81. Following assessment for validity and reliability, the questionnaire was revised to create the 6-item screening tool.

conclusionsThe 6-item SpA-SED screening tool designed to identify potential cases of axSpA was found to have good test-retest reliability and high internal consistency.

Indexed as

Axial SpondyloarthritisFemaleHumansInfantMaleMiddle AgedPainPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID35802613
PMCPMC9269406

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.