Evidence map›Paper›PMID 41149462›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

Real-World Prevalence, Treatment Patterns, and Economic Impact of EGFR- and ALK-Targeted Therapies in Non-Small Cell Lung Cancer: A Nationwide Analysis from Greece.

George Gourzoulidis, Catherine Kastanioti, George Mavridoglou, Theodore Kotsilieris, Anastasios Tsolakidis, Konstantinos Mathioudakis, Dikaios Voudigaris, Charalampos Tzanetakos

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Retrospective study of alectinib treatment among variants ofTranslational lung cancer research · 2026
    Article
  5. Article
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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

8 authors.

George GourzoulidisDepartment of Business and Organizations Administration, University of the Peloponnese, 24100 Kalamata, Greece.ORCID 0000-0002-7239-9829
Catherine KastaniotiDepartment of Business and Organizations Administration, University of the Peloponnese, 24100 Kalamata, Greece.ORCID 0009-0001-8918-4592
George MavridoglouDepartment of Accounting and Finance, School of Management, University of the Peloponnese, 24100 Kalamata, Greece.ORCID 0000-0002-9357-4788
Theodore KotsilierisDepartment of Business and Organizations Administration, University of the Peloponnese, 24100 Kalamata, Greece.ORCID 0000-0003-3959-4531
Anastasios TsolakidisIDIKA SA-E-Government Center for Social Security Services, 10551 Athens, Greece.
Konstantinos MathioudakisIDIKA SA-E-Government Center for Social Security Services, 10551 Athens, Greece.ORCID 0009-0001-4422-1521
Dikaios VoudigarisHealth Through Evidence GP, 17456 Athens, Greece.
Charalampos TzanetakosHealth Through Evidence GP, 17456 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the prescribing prevalence of epidermal growth factor receptor (EGFR)- and anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) patients in Greece and examine patterns of first-line tyrosine kinase inhibitor (TKI) utilization and associated treatment costs using nationwide real-world data.

methodsA retrospective analysis of the national e-prescription database was performed, identifying patients initiating first-line treatment (FLT) for EGFR- or ALK-positive NSCLC between 1 January 2020 and 31 December 2022. Demographic characteristics, prescribing prevalence data, drug utilization patterns, total annual drug expenditures, and per patient treatment costs were assessed. All statistical analyses were performed using the statistical software SPSS-v.29.

resultsOverall, 1188 EGFR-positive (mean age of 70.93 ± 11.6) and 246 (mean age of 64.26 ± 12.6) ALK-positive NSCLC patients initiated FLT during the three-year study period. EGFR mutations were slightly more common in females (53%), peaking in the 70-79 age group (35%). ALK mutations were also more common among females (52%), particularly within the 60-79 age group. In EGFR-positive patients, osimertinib usage markedly increased from 41% in 2020 to 63% in 2022, primarily displacing afatinib (from 32% to 22%) and erlotinib (from 24% to 14%), with gefitinib prescriptions falling below 2%. Among ALK-positive patients, crizotinib utilization declined significantly from 60% to 16%, whereas alectinib increased to 59% by 2022. Annual EGFR-related total drug expenditures remained stable (€11.5 million in 2020 vs. €11.9 million in 2022), driven primarily by increasing osimertinib usage. Similarly, ALK-related annual drug expenditures showed stability, with costs predominantly attributed to rising alectinib utilization.

conclusionsThis nationwide analysis highlights the rapid adoption of second- and third-generation TKIs for EGFR- and ALK-positive NSCLC in Greece, reflecting evolving clinical practice patterns. Although the target patient populations are relatively small, the associated economic burden is considerable. To ensure long-term sustainability of the Greek healthcare system, policymakers should critically assess the cost-effectiveness of these innovative therapies and align resource allocation with value-based care principles.

Indexed as

Anaplastic Lymphoma KinaseCarcinoma, Non-Small-Cell LungLung NeoplasmsProtein Kinase InhibitorsAgedAged, 80 and overErbB ReceptorsFemaleGreeceHumansMaleMiddle AgedMolecular Targeted TherapyPrevalenceRetrospective StudiesALK protein, humanAnaplastic Lymphoma KinaseEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsdrug utilization patternsGreecelung cancernationwide real-world evidence

Identifiers

PMID41149462
PMCPMC12563277

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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.