Evidence map›Paper›PMID 39693368›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Utilization of EGFR, ALK, and BRAF Inhibitors in the Treatment of Lung Cancer in Germany.

Nikolaj Rischke, Josephine Kanbach, Ulrike Haug

Abstract read
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Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
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4 · The record

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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

3 authors.

Nikolaj RischkeDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0009-0004-5034-1185
Josephine KanbachDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Ulrike HaugDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a lack of real-world data on the use of targeted cancer drugs requiring molecular tumor diagnostics in the treatment of lung cancer in Germany.

aimsWe aimed to characterize the use of such drugs in lung cancer patients based on longitudinal analyses. METHODS AND

resultsUsing the GePaRD database (claims data from ~20% of the German population) we identified lung cancer patients diagnosed in 2016 based on a previously developed algorithm and followed them until death, end of continuous insurance, or end of 2019. We determined the proportion of patients treated with at least one of the drugs under study (EGFR, ALK, and BRAF inhibitors). We described these patients regarding demographic characteristics, treatment patterns, and overall survival. We included 7833 incident lung cancer patients. Of these, 392 (5%) were treated with one of the drugs under study, the majority (62%) being female. In 314 out of the 392 patients (80%), the first dispensation was an EGFR inhibitor (afatinib: 54%, erlotinib: 33%), and in 72 patients (18%), it was an ALK inhibitor (crizotinib: 90%). The proportion of patients treated with these drugs was 4.8% in West Germany and 6.2% in East Germany. About half of these patients had chemotherapy before targeted therapy. Median overall survival after the first targeted therapy was 22 months.

conclusionOne twentieth of lung cancer patients diagnosed in 2016 in Germany received at least one EGFR, ALK, or BRAF inhibitor during follow-up. The proportion was higher in East than in West Germany. As the development and availability of new cancer drugs is a dynamic area, regularly updated utilization studies-ideally as cross-country-comparisons-are required.

Indexed as

Anaplastic Lymphoma KinaseErbB ReceptorsLung NeoplasmsProtein Kinase InhibitorsProto-Oncogene Proteins B-rafAdultAfatinibAgedAged, 80 and overCrizotinibErlotinib HydrochlorideFemaleGermanyHumansLongitudinal StudiesMaleAfatinibALK protein, humanAnaplastic Lymphoma KinaseBRAF protein, humanCrizotinibEGFR protein, humanErbB ReceptorsErlotinib HydrochlorideProtein Kinase InhibitorsProto-Oncogene Proteins B-rafALKBRAFclaims dataEGFRnon‐small cell lung cancerreal‐world datatargeted cancer therapy

Identifiers

PMID39693368
PMCPMC11654761

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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.