Evidence map›Paper›PMID 41723385›Full record

ArticleBMC public health2026

Long-term changes in melanoma epidemiology in Hungary: who are the high-risk groups, and where should we concentrate prevention programs?

Ágnes Stier, István Kenessey, Anna Páldy

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Ágnes StierSemmelweis University Doctoral College, Budapest, Hungary.
István KenesseyHungarian National Cancer Registry, National Institute of Oncology, Budapest, Hungary.
Anna PáldySemmelweis University Doctoral College, Budapest, Hungary. paldy.anna@nngyk.gov.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have concentrated on the epidemiology of melanoma in Hungary in recent years. The incidence rates often conflict in these studies; however, the prognosis has unambiguously improved. Our objective was to investigate melanoma epidemiology from a spatial perspective by relying on healthcare databases to identify high-risk groups and reveal geographical differences over a 20-year study period.

methodsWe calculated age-standardised incidence rates in each Nomenclature of Territorial Statistical Level 3 (NUTS-3) region (county) for 2001–2019 for the 45–64 and 65 years or older populations, stratified by sex. We applied the European Revised Reference Population (2012) for standardisation. Furthermore, we used the Joinpoint Trend Analysis software to calculate the annual percent change (APC) to determine whether the incidence trends were statistically significant. We then analysed 10-year-specific APCs in the population above 45 years of age. Additionally, we performed the Joinpoint Trend Analysis on the age-adjusted death rates in the population between 45 and 64 years and 65 years or older at the NUTS-2 level.

resultsMelanoma showed a 1.8% and 1.5% increase in melanoma incidence in individuals aged 45–64 years. ASIRs increased in men from 2010 to 2015 by 8.2% and in women without breakpoints by 4.1% between 2001 and 2019. We also demonstrated geographical differences in the incidence trends. We observed increasing trends in incidence rates in men in counties with low socioeconomic status, such as northern counties, and women in Southern Transdanubia. Our findings warrant further research on the relationship between melanoma incidence and socioeconomic status. Decreasing incidence trends from 45 to 64 years of age were observed in Vas and Hajdú-Bihar counties. Our most noteworthy finding pertains to the vulnerability of 45–54 year old women and highlights the urgency of efficient prevention and screening campaigns. Melanoma mortality in most regions stagnated or decreased, except for Western Transdanubia among the population above 65 years of age.

conclusionOur study results could aid policymakers in designing awareness and screening campaigns in areas with a dynamically increasing incidence of melanoma. Particular attention should be given to areas with low socioeconomic status.

Indexed as

MelanomaSkin NeoplasmsAgedFemaleHumansHungaryIncidenceMaleMiddle AgedRisk FactorsHungaryIncidenceMelanomaMortalityTrend analysis

Identifiers

PMID41723385
PMCPMC13032337

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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.