Evidence map›Paper›PMID 40739666›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Evaluation of lung cancer early detection offered by the German Social Accident Insurance for formerly asbestos-exposed employees using low-dose computed tomography - setting and study design.

Felix Greiner, Jan Heidrich, Helena Keller, Dirk Taeger, Thorsten Wiethege, Volker Harth

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 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

6 authors.

Felix GreinerInstitute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany. f.greiner@uke.de.
Jan HeidrichInstitute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany.
Helena KellerInstitute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany.
Dirk TaegerInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Thorsten WiethegeInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany.
Volker HarthInstitute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical trials have shown the benefits of lung cancer screening (LCS) in certain high-risk groups using low-dose high-resolution computed tomography (LDCT). Risk groups are usually defined by age and tobacco use. Exposure to asbestos dust is an important occupational risk factor for lung cancer. Since 2014, the German Social Accident Insurance (DGUV) has introduced annual LCS for high-risk groups (EVA-LCS). In addition to occupational asbestos dust exposure, the population at risk is defined by age (≥ 55 years) and tobacco consumption (≥ 30 pack-years). The health services research project EVALUNG aims to evaluate the EVA-LCS using a combination of quantitative and qualitative methods.

methodsThe quantitative part will be based on a secondary data analysis of routine administrative and medical data from the EVA-LCS. The results of the individual screening rounds will be analysed in a cross-sectional design. Primary endpoints are participation patterns, the rate of findings requiring further diagnostic investigation, the detection of lung cancer including tumour stage and characteristics, and the notification and recognition of asbestos-related occupational diseases. Secondary endpoints include false-positive and false-negative findings, incidence of other cancers, and all-cause and cancer-related mortality. To avoid selection bias, a complete set of anonymised data (approximately 22,200 individuals as of 12/2021) from the EVA-LCS will be transmitted for use in EVALUNG. A sub-sample will be used to perform longitudinal analyses and explore a linkage with cancer registry data. Another component is the development and piloting of quality indicators. Qualitative interviews will be conducted to analyse the perceptions, satisfaction, and potential psychological effects of EVA-LCS participants. Interviews with participating physicians will focus on their attitudes and knowledge regarding LCS. A further aim is to develop an evidence-based decision aid. DISCUSSION: The EVALUNG concept is based on various complementary approaches, enabling a comprehensive evaluation of the EVA-LCS and the identification of optimization potentials. The quality of the data is crucial for the validity of the quantitative analyses. One way to address potential limitations is to link the data with cancer registry data. The results may contribute to the planning and development of a national LDCT lung cancer screening programme in Germany.

Indexed as

Asbestos dust exposureDecision aidEarly detectionLow-dose computed tomography (LDCT)Lung cancer screeningOccupational diseasePerceptionQuality indicators

Identifiers

PMID40739666
PMCPMC12312444

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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.