Evidence map›Paper›PMID 40231260›Full record

ArticleFrontiers in oncology2025

Improvement in breast cancer survival across molecular subtypes in Hungary between 2011 and 2020: a nationwide, retrospective study.

Miklós Darida, Gábor Rubovszky, Zoltán Kiss, Borbála Székely, Balázs Madaras, Zsolt Horváth, Judit Kocsis, István Sipőcz, Máté Várnai, Éva Balogh and 13 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

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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

23 authors.

Miklós Darida *MSD Hungary, Budapest, Hungary.
Gábor Rubovszky *Department of Oncological Internal Medicine and Clinical Pharmacology "B" and National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Zoltán KissMSD Hungary, Budapest, Hungary.
Borbála SzékelyDepartment of Oncological Internal Medicine and Clinical Pharmacology "B" and National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Balázs MadarasDepartment of Oncological Internal Medicine and Clinical Pharmacology "B" and National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Zsolt HorváthDepartment of Oncology, Bács-Kiskun County Teaching Hospital, Kecskemét, Hungary.
Judit KocsisDepartment of Oncology, Bács-Kiskun County Teaching Hospital, Kecskemét, Hungary.
István SipőczAladár Petz County University Teaching Hospital, Győr, Hungary.
Máté VárnaiMSD Hungary, Budapest, Hungary.
Éva BaloghMSD Hungary, Budapest, Hungary.
Krisztina KovácsMSD Hungary, Budapest, Hungary.
Viktória BugaMSD Hungary, Budapest, Hungary.
Eugenia KaramousouliMSD, Athens, Greece.
Tamás G SzabóMSD Hungary, Budapest, Hungary.
György RokszinRxTarget Ltd., Szolnok, Hungary.
Ibolya FábiánRxTarget Ltd., Szolnok, Hungary.
István KenesseyDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
András WéberHungarian National Cancer Registry and National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Péter NagyDepartment of Molecular Immunology and Toxicology and the National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary.
Zsófia BarczaSyntesia Medical Communications Ltd, Budapest, Hungary.
Krisztina BogosNational Korányi Institute of Pulmonology, Budapest, Hungary.
Zoltán Vokó *Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary.
Csaba Polgár *National Institute of Oncology and the National Tumor Biology Laboratory, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite well-documented clinical differences across breast-cancer (BC) molecular subtypes and relevant changes in therapeutic interventions over the past decades, there remains a significant lack of up-to-date epidemiologic data and real-world outcomes, particularly in Central and Eastern Europe. Methods: This was a nationwide, retrospective study using the claims databases of the Hungarian National Health Insurance Fund (NHIF) that included patients who were newly diagnosed with BC between 2011 and 2020. BC subtypes were defined based on the therapies received. Overall survival (OS) and net survival rates were calculated. Results: Between 2011 and 2020, 74,143 patients were newly diagnosed with BC based on ICD-10 diagnostic codes in the NHIF database and 80.1% of the cases could be classified into subtypes based on therapy. The most common subtype was HER2-/HR+ BC, identified in 61.9% of patients, followed by triple negative breast cancer (TNBC) in 8.4%, HER2+/HR+ BC in 6.2%, and HER2+/HR- BC in 3.6% of cases. The proportions of TNBC and HER2+/HR+ were higher among younger patients, than in elderly cohorts. The 5-year OS of the total BC population was 74.2% in patients diagnosed between 2015-2019. Patients with TNBC had the poorest 5-year OS (TNBC: 61.4%; HER2+/HR+: 86.5%; HER2-/HR+: 79.1%; HER2+/HR-: 71.9%). Net survival rates (i.e. survival rates after adjusting the effects of other causes of death) varied across diagnostic periods and molecular subtypes. In most cases, patients diagnosed later during the study period tended to have numerically better survival rates. Patients with HER2-/HR+ BC had the most favorable net survival, with 5-year net survival exceeding 92% during the whole observation period, while TNBC patients had the lowest 5-year net survival rates ranging between 63.6% and 65.8% during the study period. Conclusion: Our nationwide study describes the distribution and survival of BC patients with different subtypes based on a retrospective analysis of the health insurance fund database. There remains a significant room for improvement in the survival of more aggressive molecular subtypes including HR-/HER2+ and triple-negative BC, which are more common in younger age cohorts.

Indexed as

breast cancerbreast cancer subtypesepidemiologynationwideretrospectivesurvival

Identifiers

PMID40231260
PMCPMC11994442

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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.