Evidence map›Paper›PMID 41387799›Full record

ArticleBMC cancer2025

Uncovering gaps in personalised lung cancer care in Germany: a white spot analysis.

Scarlett Berressem, Lars-Thorben Moos, Johanna Röder, Laura Harzheim, Nils Dreiack, Marlene Brodersen, Florian Kron, Robert Dengler, Hans Christian Reinhardt, Martin Utzig and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Scarlett BerressemDepartment I of Internal Medicine, Medical Faculty, University of Cologne, University Hospital Cologne, Cologne, Germany.
Lars-Thorben MoosDepartment I of Internal Medicine, Medical Faculty, University of Cologne, University Hospital Cologne, Cologne, Germany.
Johanna RöderVITIS Healthcare Group, Cologne, Germany.
Laura HarzheimFederal Association of Outpatient Hematologists and Medical Oncologists (BNHO e. V.), Cologne, Germany.
Nils DreiackFederal Association of Outpatient Hematologists and Medical Oncologists (BNHO e. V.), Cologne, Germany.
Marlene BrodersenDepartment I of Internal Medicine, Medical Faculty, University of Cologne, University Hospital Cologne, Cologne, Germany.
Florian KronVITIS Healthcare Group, Cologne, Germany.
Robert DenglerFederal Association for Outpatient Specialist Medical Care (BV-ASV), Munich-Grünwald, Germany.
Hans Christian ReinhardtDepartment of Hematology and Stem Cell Transplantation, Faculty of Medicine and University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Martin UtzigGerman Cancer Society (DKG), Berlin, Germany.
Thomas IllmerFederal Association of Outpatient Hematologists and Medical Oncologists (BNHO e. V.), Cologne, Germany.
Jürgen WolfDepartment I of Internal Medicine, Medical Faculty, University of Cologne, University Hospital Cologne, Cologne, Germany.
Anna KronDepartment I of Internal Medicine, Medical Faculty, University of Cologne, University Hospital Cologne, Cologne, Germany. anna.kron@uk-koeln.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is among the most prevalent and deadly cancers, with around 57,000 new cases annually in Germany. Despite advances in targeted therapies, many patients still lack sufficient access to state-of-the-art comprehensive molecular diagnostics and personalised therapy throughout the disease course. This study identifies gaps in access to personalised lung cancer care in Germany. A primary objective was to analyse how many lung cancer patients are not captured by the established quality and network structures - namely, centres of the national Network Genomic Medicine (nNGM) and the lung cancer centres certified by the German Cancer Society (DKG) - to identify and ultimately close these gaps.

methodsPublicly available data were used from inpatient quality reports, the databases of nNGM and certified lung cancer centres (DKG-LZ), the outpatient specialist medical care programme (ASV) supplemented by incidence data from the German Centre for Cancer Registry Data (2022). Differences among nNGM, DKG-LZ and ASV were assessed, focusing on non-affiliated hospitals as proxies for putative lack of quality-assured molecular diagnostic access. Geographic mapping was used to visualise regional disparities.

resultsThe analysis included 993 hospitals with a total of 167,216 reimbursed lung cancer cases. 240 hospitals with 98,797 cases (59%) are affiliated with the nNGM. 108 hospitals with 78,591 cases (47%) are certified or cooperate with a DKG-LZ. ASV is provided at 152 hospitals or ASV partner hospitals (71,763 cases, 43%). nNGM and DKG jointly cover 276 hospitals and 114,472 cases (69%). Adding ASV, overall quality-affiliated coverage increases to 124,419 cases (74%). However, 668 hospitals with a total of 42,797 cases (26%) are not affiliated with any of these structures. Geographic analysis revealed regional disparities, notably in Northern Brandenburg, Lower Saxony, and Saxony-Anhalt characterised by high-incidence areas and non-affiliated hospitals managing large volumes of lung cancer cases.

conclusionsSignificant disparities in access to quality-assured molecular diagnostics persist. Expanding nNGM and integrating high-volume hospitals could raise coverage to over 85%. Standardising molecular diagnostics and quality requirements across nNGM, DKG, and ASV could further optimise access to high-quality personalised lung cancer care in Germany and build a unified real-world evidence base for equitable, consistent care.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityLung NeoplasmsPrecision MedicineFemaleGermanyHumansMaleRegistriesComprehensive molecular diagnosticsIncidence-based evaluationInpatient real-world dataPersonalised medicine in lung cancerQuality-assured clinical networksWhite spot analysis

Identifiers

PMID41387799
PMCPMC12822196

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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.