Evidence map›Paper›PMID 34429305›Full record

ArticleBMJ open2021

Use of targeted mobile X-ray screening and computer-aided detection software to identify tuberculosis among high-risk groups in Romania: descriptive results of the E-DETECT TB active case-finding project.

Beatrice Mahler, Gerard de Vries, Rob van Hest, Dan Gainaru, Dee Menezes, Gilda Popescu, Alistair Story, Ibrahim Abubakar

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  12. The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  13. The Bidirectional Relationship between Pulmonary Tuberculosis and Lung Cancer.International journal of environmental research and public health · 2023
    Review
  14. 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

8 authors at 6 institutions in 3 countries.

Beatrice Mahler *Department of Pulmonoloy, Institute for Lung Diseases Marius Nasta, Bucuresti, Romania.
Gerard de Vries *Team The Netherlands & Elimination, KNCV Tuberculosis Foundation, Den Haag, Zuid-Holland, The Netherlands.ORCID 0000-0003-1278-4503
Rob van HestDepartment of Lung Diseases and Tuberculosis, University Medical Centre Groningen, Groningen, The Netherlands.
Dan GainaruDepartment of Pulmonoloy, Institute for Lung Diseases Marius Nasta, Bucuresti, Romania.
Dee MenezesPublic Health Data Science, UCL Institute of Health Informatics, London, UK.
Gilda PopescuDepartment of Pulmonoloy, Institute for Lung Diseases Marius Nasta, Bucuresti, Romania.
Alistair StoryFind&Treat, University College London Hospitals NHS Foundation Trust, London, UK.
Ibrahim AbubakarInstitute for Global Health, University College London, London, UK i.abubakar@ucl.ac.uk.ORCID 0000-0002-0370-1430
Institutul de Pneumoftiziologie "Marius Nasta" · ROHealth Data Research UK · GBNational Institute for Public Health and the Environment · NLUniversity College London · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo implement and assess the mobile X-ray unit (MXU) equipped with digital radiography, computer-aided detection (CAD) software and molecular point of care tests to improve early tuberculosis (TB) diagnosis in vulnerable populations in a TB outreach screening programme in Romania.

designDescriptive study. SETTINGS: Prisons in Bucharest and other cities in the southern part of Romania, homeless shelters and services for problem drug users in Bucharest, and Roma populations in Bucharest and Craiova.

participants5510 individuals attended the MXU service; 5003 persons were radiologically screened, 61% prisoners, 15% prison staff, 11% Roma population, 10% homeless persons and/or problem drug users and 3% other.

interventionsRadiological digital chest X-ray (CXR) screening of people at risk for TB, followed by CAD and human reading of the CXRs, and further TB diagnostics when the pulmonologist classified the CXR as suggestive for TB. PRIMARY AND SECONDARY OUTCOME MEASURES: Ten bacteriologically confirmed TB cases were identified translating into an overall yield of 200 per 100 000 persons screened (95% CIs of 109 to 368 per 100 000). Prevalence rates among homeless persons and/or problem drug users (826/100 000; 95% CI 326 to 2105/100 000) and the Roma population (345/100 000; 95% CI 95 to 1251/100 000) were particularly high.

resultsThe human reader classified 6.4% (n=317) of the CXRs as suspect for TB (of which 32 were highly suggestive for TB); 16.3% of all CXRs had a CAD4TB version 6 score >50. All 10 diagnosed TB patients had a CAD4TB score >50; 9 had a CAD4TB score >60.

conclusionsGiven the high TB prevalence rates found among homeless persons and problem drug users and in the Roma population, targeted active case finding has the potential to deliver a major contribution to TB control in Romania.

Indexed as

TuberculosisComputersHumansRomaniaSoftwareX-Rayschest imagingpublic healthrespiratory infectionstuberculosis

Identifiers

PMID34429305
PMCPMC8386204
OpenAlexW3195976425

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.