Evidence map›Paper›PMID 37344764›Full record

SynthesisBMC medical research methodology2023

Development and validation of a screening tool for SPondyloArthritis Screening in Sub-Saharan Africa: SpASSS questionnaire.

P Lebughe Litite, R Westhovens, A Nkodila, J J Malemba, K de Vlam

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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 citations in OpenAlex.

  1. Article
  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

5 authors at 3 institutions in 2 countries.

P Lebughe LititeRheumatology Unit, Department of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0002-4984-0452
R WesthovensDivision of Rheumatology, University Hospitals Leuven, Louvain, Belgium.ORCID 0000-0002-3432-3073
A NkodilaDepartment of Public Health, Faculty of Family Medicine, Université Protestante Au Congo, Congo, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0002-1403-8451
J J MalembaRheumatology Unit, Department of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID 0000-0001-7716-2882
K de VlamDivision of Rheumatology, University Hospitals Leuven, Louvain, Belgium. kurt.devlam@uzleuven.be.ORCID 0000-0003-3848-5122
KU Leuven · BEUniversity of Kinshasa · CDUniversité Protestante au Congo · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a screening tool to identify patients with a high likelihood for Spondyloarthritis (SpA) in the Democratic Republic of the Congo (DR Congo).

methodsThe development of the SpA Screening questionnaire in Sub Saharian Africa (SpASSS) questionnaire followed 3 steps: The item generation was carried out by a systematic literature review according to the PRISMA guidelines on the clinical manifestations of SpA, interviewing clinical experts and the classification criteria for Spondyloarthritis. The candidate questions were tested in a population of 50 consecutive patients with confirmed diagnosis of spondyloarthritis, in a control population of rheumatic disease excluding SpA and in a group of 200 non-rheumatic participants, randomly chosen in the general population for question reduction and validation. Descriptive statistical analyses were performed to assess socio-demographic characteristics and response distribution for each item. Their diagnostic performance was investigated using ROC curves. For validation, principal component analysis was performed using factor analysis. Referral strategy score for SpA was determined by adjusted Cronbach's alpha coefficient.

resultsMean ± SD age of SpA cases was 41.8 ± 14.4 years, 56% were men compared to diseased controls 60.0 ± 12.5 years, 28.7% men (p < 0.001). 14/20 items showed a statistically significant difference (p < 0.05) between SpA cases and control groups. All items were factorable and 6 components were identified. Only the two first components (C1 with 8 items, C2 with 3 items) showed a significant threshold for reliability in detection of suspected SpA with a Cronbach's alpha of 0.830 and 0.708. All validated items of these two components showed the global reliability threshold with α-adjusted Cronbach calculated at 66.9%. The performance for correctly screening SpA was demonstrated with an area under the curve of 0.938 (0.884-0.991) and 0.794 (0.728-0.861) for C1 and C2 respectively.

conclusionsThis validation and item reduction of the SpASSS questionnaire for SpA might identify patients to refer for case ascertainment and will help conducting future epidemiological and clinical studies in the DR Congo. STRENGTHS AND LIMITATIONS OF THIS STUDY: • To the best of our knowledge, this is the first study in Sub-Saharan Africa based on local data to develop a screening tool for SpA in the population for epidemiological and clinical use. • Referral strategies based on context-specific data are necessary to provide accurate case definition and epidemiological data, thus reducing methodological bias. • In the SpA group, no discrimination was made regarding SpA subtypes, disease duration, activity and severity.

Indexed as

SpondylarthritisAdultAfrica South of the SaharaFemaleHumansMaleMiddle AgedReferral and ConsultationReproducibility of ResultsSurveys and QuestionnairesScreening questionnaireSpondylarthritisSub-Saharan AfricaValidation

Identifiers

PMID37344764
PMCPMC10286346
OpenAlexW4381548636

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.