Evidence map›Paper›PMID 41312242›Full record

ArticleFrontiers in public health2025

Global burden of plastic-surgery-related conditions, 1990-2021: a composition-aware analysis with projections to 2050.

Chengcheng Zhang, Xi Chen, Wenjuan Ying, Chaoqun Zhang

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 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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chengcheng Zhang *The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xi Chen *The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Wenjuan YingThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Chaoqun ZhangThe 7th People's Hospital of Zhengzhou, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Plastic surgery-related diseases impose a substantial and growing burden on global health systems, yet comprehensive estimates of their temporal trends and future projections remain scarce. This study aims to quantify the global, regional, and national burden of 12 plastic surgery-relevant conditions from 1990 to 2021 and to forecast their trajectories through 2050. Method: Data were extracted from the Global Burden of Disease Study 2021. We analyzed age-standardized incidence rate (ASIR), prevalence rate (ASPR), death rate (ASDR), and disability-adjusted life years (DALYs) across 204 countries and territories. Estimated annual percentage changes (EAPCs) were calculated to evaluate temporal trends, and a Bayesian age-period-cohort (BAPC) model was employed to project disease burden to 2050. Socio-demographic disparities were assessed using SDI-based stratification and Spearman correlation. Findings: Globally, incidence was compositionally dominated by pyoderma (about 90% in 1990-2021). Incident cases increased from 508.18 million (95% UI 489.85-527.22) in 1990 to 902.35 million (95% UI 871.47-934.10) in 2021, with an ASIR increasing from 9,611.94 to 11,560.66 per 100,000 population. In contrast, the ASPR declined from 2,862.67 to 2,207.26 per 100,000, and age-standardized mortality and DALYs rates also fell. The burden rose steeply with age: adults aged ≥60 years consistently exhibited the highest age-specific rates, and the absolute burden progressively shifted toward older populations. High-SDI regions had lower age-standardized mortality and DALYs rates than low-SDI regions, despite occasionally higher prevalence consistent with improved survival. By 2050, the absolute burden is projected to grow with population aging, while most age-standardized rates continue to decline. Interpretation: Aggregate incidence increases were driven mainly by pyoderma. Surgically relevant burdens concentrated in oncologic and burn/trauma cohorts; hence service implications should be anchored to these metrics rather than incidence. By 2050, incidence continues to rise largely from infections, while DALYs trajectories in surgically managed subgroups diverge by SDI-supporting targeted prevention, context-specific capacity strengthening, and integrated rehabilitation.

Indexed as

Cost of IllnessGlobal Burden of DiseaseGlobal HealthPlastic Surgery ProceduresSurgery, PlasticAdolescentAdultAgedBayes TheoremDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceMaleMiddle Agedage-standardized ratesBayesian age-period-cohort modeldisease projectionglobal burdenplastic surgery–related diseasesSDI disparities

Identifiers

PMID41312242
PMCPMC12647102

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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.