Evidence map›Paper›PMID 41425115›Full record

ArticleClinical, cosmetic and investigational dermatology2025

Global Burden and Trends of Cutaneous Malignant Melanoma in the Elderly Population: Analysis of Global Burden of Disease Study 2021.

Zhong Du, Xianglong Li, Wen Tan, Chenxi Wang, Guoxu Wang, Haokai Wei, Yujue Pan, Shuang Wu, Qingyu Zhou, Haiyu Lin

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Comment on "Artificial Intelligence in melanoma research: a bibliometric analysis".International journal of surgery (London, England) · 2026
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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

10 authors.

Zhong Du *Department of Medical and Radiation Oncology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.ORCID 0009-0008-0157-0781
Xianglong Li *Department of Medical and Radiation Oncology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Wen Tan *School of Medicine, Yichun University, Jiangxi, People's Republic of China.
Chenxi WangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, Yunnan, People's Republic of China.
Guoxu WangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, Yunnan, People's Republic of China.
Haokai WeiDepartment of Cardiology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Yujue PanSchool of Medicine, Yichun University, Jiangxi, People's Republic of China.
Shuang WuDepartment of Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Qingyu ZhouDepartment of Medical and Radiation Oncology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Haiyu LinDepartment of Medical and Radiation Oncology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cutaneous malignant melanoma (CMM) represents a substantial health burden for the elderly; however, data regarding its impact and epidemiology within this demographic remain scarce. This study aims to evaluate the global, regional, and national trends of CMM among individuals aged 60 and elderly from 1990 to 2021. Methods: We retrieved data on the age-standardized incidence, prevalence, and mortality rates, and disability-adjusted life years (DALYs) of CMM among individuals aged 60 and above across 204 countries and territories from 1990 to 2021, sourced from the Global Burden of Disease (GBD), Injuries, and Risk Factors Study 2021. We calculated the estimated annual percentage changes in age-standardized incidence and DALY rates of CMM, categorized by age, sex, and socio-demographic index (SDI), to quantify temporal trends. Additionally, we employed Spearman correlation analysis to examine the relationship between age-standardized rates and SDI. Results: This study analyzed global trends in CMM from 1990 to 2021 using the GBD database. The findings indicate a significant increase in the incidence (EAPC=0.65, 95% CI: 0.33-0.96) and prevalence (EAPC=1.02, 95% CI: 0.64-1.41) of CMM, while a significant decreasing trend was observed for mortality (EAPC=-0.43, 95% CI: -0.57- -0.30) and DALYs (EAPC=-0.67, 95% CI: -0.82- -0.53). In 2021, high-income North America exhibited the highest prevalence of CMM but the lowest growth rate. In contrast, the Middle East and North Africa experienced the fastest growth rate, while Latin America also demonstrated a significant increase in prevalence. The growth rates of incidence and prevalence were notably higher among male patients compared to females, reflecting gender-specific behavioral differences. Furthermore, an analysis of the relationship between the burden of disease and the SDI for CMM across various regions from 1990 to 2021 revealed that the burden of disease in Australia significantly exceeded model predictions. The APC analysis indicated that the prevalence of CMM among elder population (≥60 years old) declined with age, but the overall disease burden continues to rise annually, demonstrating higher prevalence rates in later birth cohorts. Similar trends were observed for incidence, DALYs, and mortality. Conclusion: This study reveals that the burden of CMM disease is rapidly increasing among populations residing at lower latitudes. The findings underscore the necessity for dynamic optimization of global prevention and control strategies, considering regional disparities.

Indexed as

average annual percent changecutaneous malignant melanomaelderly populationglobal burden of diseasesociodemographic index

Identifiers

PMID41425115
PMCPMC12716963

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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.