ArticleBMC pulmonary medicine2026
Who participates in LDCT screening for the early detection of lung cancer after long-term occupational exposure to asbestos dust? Results of the analysis of administrative and medical routine data from the German Social Accident Insurance.
Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundLung cancer is one of the most common cancers in Germany and is predominantly detected at an advanced stage. To ensure early detection, the German Social Accident Insurance (DGUV) offers lung cancer screening including a low-dose computed tomography (LDCT) for individuals with long-term occupational exposure to asbestos dust and a smoking history of at least 30 pack years. However, evidence remains scarce about what encourages this group of people to participate in LDCT screening after medical consultation.
methodsA secondary data analysis using routinely collected medical and administrative data between 2014 and 2024 was conducted in a cross-sectional design. This study aimed to investigate factors that could be used to predict the uptake of LDCT screening following a medical consultation. Exploratory logistic regression analysis was used to identify and assess possible predictors.
resultsThe sample included n = 14,491 individuals (97% male; average age 67 years; average asbestos dust exposure 21 years; average cigarette consumption 43 pack years). 74% of individuals underwent LDCT screening after medical consultation. 13 predictors were included in the regression model. The model demonstrated a low level of variance explanation (Nagelkerkes R
conclusionThe predictors showed only a low explanatory power. Further research should include non-participants and expand the exploratory model to include theoretically grounded predictors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.