Evidence map›Paper›PMID 42727032›Full record

ArticlePloS one2026

Burden of malignant melanoma among the elderly population in East Asia from 1990 to 2023 and machine learning projection to 2040.

Qian Liu, Jianfeng Ma, Hao Yang, Na Liu, Chen Liu, Yiming Liu, Sheng Li, Yongfeng Wang

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qian LiuGansu Provincial Hospital & The Third Hospital of Lanzhou University, Lanzhou, Gansu, China.
Jianfeng MaThe First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.
Hao YangThe First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.
Na LiuGansu Provincial Hospital & The Third Hospital of Lanzhou University, Lanzhou, Gansu, China.
Chen LiuThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Yiming LiuThe First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.
Sheng LiThe First Clinical Medical College of Lanzhou University, Lanzhou, Gansu, China.
Yongfeng WangGansu Provincial Hospital & The Third Hospital of Lanzhou University, Lanzhou, Gansu, China.ORCID https://orcid.org/0000-0001-7793-1805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant melanoma (MM) is an emerging public health concern in East Asia's rapidly aging population. This study assessed the burden of MM among older adults aged ≥60 years from 1990 to 2023 and projected age-standardized rates to 2040.

methodsUsing GBD 2023 data, temporal trends were evaluated using Joinpoint regression and age-period-cohort analysis, together with age-, sex-, and location-specific comparisons. Future trends were projected using a multi-model forecasting framework incorporating ARIMA-derived temporal features. Seven candidate models were compared for each location-indicator combination. Historical data were chronologically divided into an 80% training set (1990-2016) and a 20% independent testing set (2017-2023), with model selection performed using five-fold rolling time-series cross-validation within the training set. Prediction intervals were generated using residual bootstrap.

resultsFrom 1990 to 2023, MM-related deaths among older adults in East Asia increased from 3,417.59 to 7,476.55, while DALYs increased from 116,499.14 to 196,356.14. Joinpoint analysis showed significant overall increases in ASIR and ASPR, whereas ASMR and ASDR exhibited only small, non-significant overall changes. This divergence is consistent with an important contribution from population aging and growth of the older population to the increasing absolute burden. Women generally had higher incidence and prevalence rates, whereas men had higher mortality and DALY rates. Projections to 2040 showed substantial variation across locations, with mortality and DALY rates expected to reach a plateau in several locations.

conclusionThe increasing MM burden and distinct sex and regional patterns require targeted early-detection strategies and equitable access to dermatological care. Future studies should use regional, subtype-specific cancer registries to evaluate ALM-specific burden and inform prevention strategies for East Asian populations.

Indexed as

Machine LearningMelanomaSkin NeoplasmsAgedAged, 80 and overAsia, EasternFemaleHumansMaleMiddle Aged

Identifiers

PMID42727032
PMCPMC13568703

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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.