Evidence map›Paper›PMID 38034041›Full record

ArticleThe Lancet regional health. Europe2024

Evaluation of the effectiveness of a nationwide precision medicine program for patients with advanced non-small cell lung cancer in Germany: a historical cohort analysis.

Anika Kästner, Anna Kron, Neeltje van den Berg, Kilson Moon, Matthias Scheffler, Gerhard Schillinger, Natalie Pelusi, Nils Hartmann, Damian Tobias Rieke, Susann Stephan-Falkenau and 15 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. [Treatment of metastatic non-small cell lung cancer].Innere Medizin (Heidelberg, Germany) · 2025
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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

25 authors.

Anika KästnerInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Anna KronNational Network Genomic Medicine Lung Cancer, Germany.
Neeltje van den BergInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Kilson MoonInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Matthias SchefflerNational Network Genomic Medicine Lung Cancer, Germany.
Gerhard SchillingerFederal Association of the AOK, Berlin, Germany.
Natalie PelusiNational Network Genomic Medicine Lung Cancer, Germany.
Nils HartmannNational Network Genomic Medicine Lung Cancer, Germany.
Damian Tobias RiekeNational Network Genomic Medicine Lung Cancer, Germany.
Susann Stephan-FalkenauNational Network Genomic Medicine Lung Cancer, Germany.
Martin SchulerNational Network Genomic Medicine Lung Cancer, Germany.
Martin WermkeNational Network Genomic Medicine Lung Cancer, Germany.
Wilko WeichertNational Network Genomic Medicine Lung Cancer, Germany.
Frederick KlauschenNational Network Genomic Medicine Lung Cancer, Germany.
Florian HallerNational Network Genomic Medicine Lung Cancer, Germany.
Horst-Dieter HummelNational Network Genomic Medicine Lung Cancer, Germany.
Martin SebastianNational Network Genomic Medicine Lung Cancer, Germany.
Stefan GattenlöhnerNational Network Genomic Medicine Lung Cancer, Germany.
Carsten BokemeyerNational Network Genomic Medicine Lung Cancer, Germany.
Irene EspositoNational Network Genomic Medicine Lung Cancer, Germany.
Florian JakobsNational Network Genomic Medicine Lung Cancer, Germany.
Christof von KalleNational Network Genomic Medicine Lung Cancer, Germany.
Reinhard BüttnerNational Network Genomic Medicine Lung Cancer, Germany.
Jürgen WolfNational Network Genomic Medicine Lung Cancer, Germany.
Wolfgang HoffmannInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The national Network Genomic Medicine (nNGM) Lung Cancer provides comprehensive and high-quality multiplex molecular diagnostics and standardized personalized treatment recommendation for patients with advanced non-small cell lung cancer (aNSCLC) in Germany. The primary aim of this study was to investigate the effectiveness of the nNGM precision medicine program in terms of overall survival (OS) using real-world data (RWD). Methods: A historical nationwide cohort analysis of patients with aNSCLC and initial diagnosis between 04/2019 and 06/2020 was conducted to compare treatment and OS of patients with and without nNGM-participation. Patients participating within the nNGM (nNGM group) were selected based on a prospective nNGM database. The electronic health records (EHR) of the prospective nNGM database were case-specifically linked to claims data (AOK, German health insurance). The control group was selected from claims data of patients receiving usual care without nNGM-participation (non-nNGM group). The minimum follow-up period was six months. Findings: Overall, n = 509 patients in the nNGM group and n = 7213 patients in the non-nNGM group met the inclusion criteria. Patients participating in the nNGM had a significantly improved OS compared to the non-nNGM group (median OS: 10.5 months vs. 8.7 months, Interpretation: This is the first study to demonstrate a significant survival benefit and higher utilization of targeted therapies for aNSCLC patients participating within nNGM. Our data indicate that precision medicine programs can enhance collaborative personalized lung cancer care and promote the implementation of treatment innovations and the latest scientific knowledge into clinical routine care. Funding: The study was funded by the AOK Federal Association Germany.

Indexed as

Non-small cell lung cancerPersonalized medicinePrecision medicine programReal-world dataTargeted therapies

Identifiers

PMID38034041
PMCPMC10687333

What OpenQuestion holds

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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.