Evidence map›Paper›PMID 39805883›Full record

ArticleScientific reports2025

The global, regional, and national patterns of change in the burden of bacterial pyoderma from 1990 to 2019 and the forecast for the next decade.

Hao Wang, Zihao Bai, Chong Shen, Jiaxi Kou, Yanqing Zhu, Huaxia Xie, Chen Chen, Ran Mo

Abstract read
In one paragraph

Article in Scientific reports, 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

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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Hao Wang *Department of Burns and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Zihao Bai *Nanjing Children's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Chong Shen *Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China.
Jiaxi Kou *Department of Burns and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Yanqing ZhuDepartment of Burns and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China.
Huaxia XieDepartment of Burns and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China. 1170526118@qq.com.
Chen ChenDepartment of Nutrition, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China. chenchen055@163.com.
Ran MoDepartment of Burns and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, Jiangsu, China. mr88mr88@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyoderma, commonly known as impetigo, is a bacterial skin infection causing pus formation, prevalent globally, especially in resource-poor areas. It affects both children and adults, including those with conditions like diabetes. Despite its significant impact and economic burden, research on its global epidemiology is limited. This study aims to address this gap by analyzing pyoderma trends from 1990 to 2019 using GBD data. The study aims to analyze global trends in pyoderma epidemiology from 1990 to 2019 using GBD data. Specifically, it investigates Age-Standardized Incidence Rate (ASIR), Mortality Rate (ASMR), and Disability-Adjusted Life Years Rate (ASDR) across 204 countries. Additionally, it provides insights into demographic and socioeconomic factors influencing pyoderma prevalence. Furthermore, it forecasts pyoderma's development trends for the next decade to inform public health strategies. Data were sourced from the GBD 2019 database, comprising various sources such as censuses, surveys, and registries. Estimates for pyoderma incidence, mortality, and DALYs, along with their 95% uncertainty intervals (UI), were retrieved. The Sociodemographic Index (SDI) was used to assess socioeconomic status, and statistical calculations were performed using the WHO Health Equity Assessment Toolkit and R software (v4.3.2). From 1990 to 2019, the Age-Standardized Incidence Rate (ASIR) and Age-Standardized Mortality Rate (ASMR) of impetigo increased, while the Age-Standardized Disability-Adjusted Life Years Rate (ASDR) declined. Significant global geographical heterogeneity persists, closely associated with the Sociodemographic Index (SDI). Children under 5 and the elderly are particularly at risk, with lower SDI nations bearing higher burdens. Population growth and aging contribute to this rise, with disparities in impetigo trends persisting among countries and regions with varying SDI levels, expected to continue until 2030. Pyoderma exhibits significant heterogeneity across age, gender, and geography, with pronounced disparities evident in underdeveloped regions or countries. Therefore, prioritizing policy formulation and implementing tailored prevention and treatment strategies for high-risk populations are imperative to alleviate the disease burden effectively. Such targeted approaches are crucial in addressing the global impact of pyoderma.

Indexed as

ImpetigoPyodermaAdolescentAdultAgedChildChild, PreschoolCost of IllnessDisability-Adjusted Life YearsFemaleForecastingGlobal Burden of DiseaseGlobal HealthHumansIncidenceInfantDisability-adjusted life-yearsEpidemiologyHealth inequalityImpetigoPyoderma

Identifiers

PMID39805883
PMCPMC11730338

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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.