Evidence map›Paper›PMID 40664435›Full record

SynthesisBMJ open respiratory research2025

Screening tools for work-related asthma and their diagnostic accuracy: a systematic review.

Ngamjit Kongsupon, Peymane Adab, Rachel E Jordan, Christopher C Huntley, Siwanon Rattanakanokchai, Samuel Wallbanks, Shiyao Li, Gareth I Walters

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Ngamjit KongsuponDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-6975-9646
Peymane AdabDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Rachel E JordanDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Christopher C HuntleyDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Siwanon RattanakanokchaiDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Samuel WallbanksOccupational and Interstitial Lung Disease Services, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Shiyao LiDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Gareth I WaltersDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK g.i.walters@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOne in four cases of asthma in adults is caused or worsened by work (work-related asthma: WRA). Early detection of WRA could prevent poor health and employment outcomes, but clinical diagnosis is often missed or delayed. The standardisation and effectiveness of screening tools have not been well established. We aimed to summarise and compare the performance of screening tools for identifying WRA in both clinical settings and workplaces.

methodsWe searched for studies that used structured questionnaires or prediction models (with/without physiological tests) to identify WRA in clinical settings or workplaces with individuals aged≥16 years in MEDLINE, Embase, other bibliographic databases and grey literature between 1975 and 2024. Two reviewers independently screened titles, abstracts and full texts for inclusion, extracted data and assessed risk of bias using QUADAS-2 tool (Quality Assessment of Diagnostic Test Accuracy 2) or PROBAST (Prediction Model Risk of Bias Assessment Tool). Screening tools and their indices of accuracy were summarised with paired forest plots of sensitivities and specificities.

resultsOf 17 504 identified studies, 7 were included. All were implemented in tertiary hospitals (n=5) and specialist centres (n=2). The screening tools comprised questionnaires alone (individual questions n=3 and multiple questions n=2), questionnaire with methacholine challenge test (n=1) and diagnostic models (n=4). The question 'improvement off work' had sensitivity=74-87% and specificity=15-58% for identifying WRA. Multiple questions had sensitivity=80-100% and specificity=8-55%. Addition of the methacholine challenge test to one questionnaire improved specificity to 75% with sensitivity=65%. Diagnostic models reported area under the curve (AUC) between 0.69 and 0.89, and AUC was improved when adding demographic variables or objective tests. DISCUSSION: A single item 'improvement off work' and multiple questions have high sensitivity but low specificity for WRA, which are sufficient for screening purposes to enhance WRA diagnosis. Adding demographic variables and objective tests can improve specificity or AUC. However, studies on screening tools for WRA are limited and inadequately reported; further evaluations of performance are needed in primary care populations and workplaces. PROSPERO REGISTRATION NUMBER: CRD42021246031.

Indexed as

AsthmaAsthma, OccupationalMass ScreeningAdultHumansSensitivity and SpecificitySurveys and QuestionnairesWorkplaceAsthmaOccupational Lung DiseaseSensitivity and SpecificitySurveys and Questionnaires

Identifiers

PMID40664435
PMCPMC12265809

What OpenQuestion holds

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LicenceCC BY-NC
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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.