Evidence map›Paper›PMID 28050691›Full record

ArticleEuropean radiology2017

Yield of chest X-ray tuberculosis screening of immigrants during the European refugee crisis of 2015: a single-centre experience.

Julius Matthias Weinrich, Roland Diel, Markus Sauer, Frank Oliver Henes, Karen Meywald-Walter, Gerhard Adam, Gerhard Schön, Peter Bannas

Abstract read
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In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Number needed to screen for TB in clinical, structural or occupational risk groups.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Pooled it
  2. Pooled it
  3. Review
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  5. 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 1 institution in 1 country.

Julius Matthias WeinrichDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany. j.weinrich@uke.de.ORCID http://orcid.org/0000-0002-5119-6563
Roland DielInstitute for Epidemiology, University Medical Hospital Schleswig-Holstein, Airway Research Center North (ARCN), Kiel, Germany.
Markus SauerDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Frank Oliver HenesDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Karen Meywald-WalterPublic Health Department Hamburg Central, Hamburg, Germany.
Gerhard AdamDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Gerhard SchönDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Peter BannasDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur aim was to determine the prevalence of tuberculosis (TB), the number needed to screen (NNS), and the diagnostic accuracy of chest X-ray (CXR) screening to detect active pulmonary TB during the 2015 European refugee crisis. MATERIALS AND

methodsWe evaluated data of all refugees who underwent CXR screening in a single-centre of one German metropolitan area in 2015. We determined the prevalence of TB, NNS, and accuracy of CXR to detect active pulmonary TB. Reference method for active TB was the database of all definite TB cases registered at the Department of Public Health.

resultsA total of 17,487 immigrants underwent single-centre CXR screening in 2015; prevalence of definite pulmonary TB was 0.103%. The NNS for detecting one case of active pulmonary TB was 1749. CXR had a sensitivity of 55.6% [95% confidence interval (CI) 30.8-78.5%) and a specificity 98.3% (CI 98.1-98.5%) to reveal one case of active TB.

conclusionOur single-centre study indicates that chest X-ray screening for TB during the 2015 European refugee crisis was of low yield due the low prevalence of TB and high number needed to screen, thus implicating the need for improved screening algorithms adapted to the overwhelming number of refugees. KEY POINTS: • Prevalence of pulmonary tuberculosis (TB) among refugees in 2015 was low (0.103%). • The number needed to screen to detect one case of active pulmonary TB was 1749. • Tuberculosis X-ray screening resulted in a low sensitivity and high specificity. • Tuberculosis X-ray screening during the European refugee crisis is of low yield. • Improved screening algorithms are needed due to the overwhelming the number of refugees.

Indexed as

Emigrants and ImmigrantsRefugeesAdultAlgorithmsDatabases, FactualFemaleGermanyHumansMaleMass ScreeningMiddle AgedPrevalenceRadiography, ThoracicSensitivity and SpecificityTuberculosis, PulmonaryX-RaysChest X-rayEpidemiologyEuropean refugee crisisPulmonary tuberculosisTuberculosis screening

Identifiers

PMID28050691
OpenAlexW2561004962

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.