Evidence map›Paper›PMID 41408183›Full record

SynthesisBMC medical imaging2025

Accuracy of junior doctor plain trauma X-ray interpretation: a systematic review and meta-analysis.

Godwill Acquah, Ijeoma Chinedum Anyitey-Kokor, Andrew Donkor, Yaw Amo Wiafe, Benard Ohene-Botwe, Michael J Neep, Patrick C Brennan

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medical imaging, 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. 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.

Godwill AcquahDepartment of Medical Imaging, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. goacquah@ug.edu.gh.
Ijeoma Chinedum Anyitey-KokorDepartment of Medical Imaging, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Andrew DonkorDepartment of Medical Imaging, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Yaw Amo WiafeDepartment of Medical Imaging, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Benard Ohene-BotweDivision of Radiography, Department of Allied Health, University of London, City St George's, UK.
Michael J NeepDepartment of Medical Imaging, Logan Hospital, Meadowbrook, QLD, Australia.
Patrick C BrennanDiscipline of Medical Imaging Science, University of Sydney, Camperdown, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlain radiography remains a first-line assessment tool for emergency departments’ trauma patients. Given the urgency of trauma care, emergency department doctors, including junior doctors, often perform initial trauma X-ray interpretations to support timely patient management when there is an unavailability of an immediate radiologist report. However, trauma X-ray interpretation is challenging, and inaccuracies can impact patient care. This study evaluates the diagnostic accuracy of emergency department junior doctors on the initial interpretation of trauma X-rays by systematically reviewing and meta-analysing existing research on the subject.

methodStudies were identified from PubMed, Scopus, Embase, Cochrane Library, and by checking the reference lists of relevant studies. Quality assessment of included studies was evaluated using the QUADAS-2 tool. Meta-analysis was conducted using bivariate models, with summary estimates reported as sensitivity, specificity, and the SROC. Meta-regression and subgroup analysis was performed to evaluate the sources of heterogeneity. Publication bias was assessed using Deeks’ funnel plot.

resultsSeven studies were included in this meta-analysis. Across the studies, pooled sensitivity, specificity and area under the receiver operating characteristic curve (AUC) were 0.65 (95% CI = 0.47–0.80), 0.89 (95% CI = 0.77–0.95), and 0.86 (95% CI = 0.83–0.89), respectively. Covariate analysis per anatomical region of trauma X-rays showed that for skeletal region, pooled sensitivity, specificity, and AUC were 0.72 (95% CI = 0.55–0.85), 0.86 (95% CI = 0.73–0.93), and 0.87 (95% CI = 0.83–0.89), respectively and for appendicular region, pooled sensitivity, specificity and AUC were 0.68 (95% CI = 0.49–0.82), 0.82 (95% CI = 0.62–0.93), and 0.81 (95% CI = 0.77–0.84), respectively. Substantial heterogeneity was identified but was not due to a threshold effect (Spearman rho = 0.29(p = 0.49)). Meta-regression and subgroup analysis revealed that anatomical-region-specific trauma X-ray interpretation and accuracy assessment techniques influenced heterogeneity. No publication bias was identified (p = 0.41).

conclusionEmergency department junior doctors’ accuracy in the initial interpretation of trauma X-rays was moderate. The findings further suggest a high likelihood of missed abnormalities when they interpret trauma X-rays. This highlights the need for support strategies to enhance their diagnostic accuracy to strengthen clinical decision-making in trauma care. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical CompetenceMedical Staff, HospitalRadiographyWounds and InjuriesEmergency Service, HospitalHumansSensitivity and SpecificityDiagnostic accuracyEmergency departmentJunior doctorsMeta-analysisTraumatic injuryX-ray interpretation

Identifiers

PMID41408183
PMCPMC12822264

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.