Evidence map›Paper›PMID 40977764›Full record

ArticleFrontiers in public health2025

Global burden of skin cancer and its subtypes: a comprehensive analysis from 1990 to 2021 with projections to 2040.

Keyue Chen, Xiaoyi Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

2 authors.

Keyue ChenResearch Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaoyi LiuResearch Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skin cancer represents a significant global public health concern. Comprehensive analysis of its global burden provides critical insights for evidence-based interventions. This study systematically evaluates the global disease burden of skin cancer and its subtypes. Methods: This study analyzed GBD 2021 data to assess ASIR and ASDR trends for total skin cancer and its subtypes (1990-2021), stratified by geography, age, and sex, using APC modeling, decomposition analysis, and inequality assessments, with projections through 2040. Results: First, skin cancer ASIR increased from 1990 to 2021, while ASDR significantly decreased. Second, geographical heterogeneity existed in distribution of histological subtypes. Third, skin cancer burden demonstrated age-dependent progression with compositional variance in subtypes across age groups. Fourth, sex disparities intensified beyond age 55, with increasing longitudinal divergence. Fifth, both the ASIR and ASDR of total skin cancer showed non‑linear associations with SDI. Sixth, international disparities in skin cancer burden demonstrated a decreasing trend. Finally, projections to 2040 indicate a continued increase in total skin cancer ASIR accompanied by a persistent decline in total skin cancer ASDR. Conclusion: ASIRs of total skin cancer and its subtypes showed increasing trends, while ASDRs demonstrated decreasing patterns, with significant heterogeneity across regions, age groups, and sex.

Indexed as

Cost of IllnessGlobal Burden of DiseaseGlobal HealthSkin NeoplasmsAdolescentAdultAgedAged, 80 and overFemaleHealth Status DisparitiesHumansMaleMiddle AgedYoung Adultbasal-cell carcinomaGlobal Burden of Diseasemelanomapredictionskin cancersquamous-cell carcinoma

Identifiers

PMID40977764
PMCPMC12443545

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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.