Evidence map›Paper›PMID 38907840›Full record

ArticleDiscover oncology2024

Breast cancer stage and molecular subtype distribution: real-world insights from a regional oncological center in Hungary.

Judit Tittmann, Tamás Ágh, Dalma Erdősi, Bettina Csanády, Erika Kövér, Antal Zemplényi, Sándor Kovács, Zoltán Vokó

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 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

8 authors.

Judit TittmannCenter for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary. aghne.judit@phd.semmelweis.hu.
Tamás ÁghCenter for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Dalma ErdősiCenter for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary.
Bettina CsanádyCenter for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Erika KövérDepartment of Oncotherapy, Medical School and Clinical Center, University of Pécs, Pécs, Hungary.
Antal ZemplényiCenter for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Sándor KovácsCenter for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Zoltán VokóCenter for Health Technology Assessment, Semmelweis University, Üllői Str 25, Budapest, 1091, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExamining the distribution of breast cancer (BC) stage and molecular subtype among women aged below (< 45 years), within (45-65 years), and above (> 65 years) the recommended screening age range helps to understand the screening program's characteristics and contributes to enhancing the effectiveness of BC screening programs.

methodsIn this retrospective study, female patients with newly diagnosed BC from 2010 to 2020 were identified. The distribution of cases in terms of TNM stages, severity classes, and subtypes was analysed according to age groups.

resultsA total of 3282 women diagnosed with BC were included in the analysis. Among these cases 51.4% were detected outside the screening age group, and these were characterized by a higher TNM stage compared to those diagnosed within the screening age band. We observed significantly higher relative frequency of advanced BC in the older age group compared to both the screening age population and women younger than 45 years (14.9% vs. 8.7% and 7.7%, P < 0.001). HR-/HER2- and HER+ tumours were relatively more frequent among women under age 45 years (HR-/HER2-: 23.6%, HER2+: 20.5%) compared to those within the screening age range (HR-/HER2-: 13.4%, HER2+: 13.9%) and the older age group (HR-/HER2-: 10.4%, HER2+: 11.5%).

conclusionsThe findings of our study shed light on potential areas for the improvement of BC screening programs (e.g., extending screening age group, adjusting screening frequency based on molecular subtype risk status) in Hungary and internationally, as well.

Indexed as

Age cohortsBreast cancer distributionMolecular subtypePopulation dataTNM stage

Identifiers

PMID38907840
PMCPMC11193705

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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.