Evidence map›Paper›PMID 40612560›Full record

ArticleFrontiers in public health2025

A trend analysis of the burden of lower extremity peripheral arterial disease in China, 1990 to 2021: based on the Global Burden of Disease Study 2021.

Chen Zhang, Mo Chen, Xintao Huang, Hao Lu, Junyu Wang, Enze Liu, Landan Xiao, Huisheng Deng

Abstract read
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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

8 authors.

Chen Zhang *Department of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mo Chen *Department of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xintao HuangDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hao LuDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Junyu WangDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Enze LiuDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Landan XiaoDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huisheng DengDepartment of General Practice, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study provides a thorough trend analysis of the burden of lower extremity peripheral arterial disease (PAD) in China during 1990-2021, based on data from the Global Burden of Disease Study 2021. Lower extremity PAD is an atherosclerotic disease that causes obstruction of blood vessels supplying the legs, presenting as intermittent claudication, rest pain, non - healing wounds, ulcers, or gangrene, and may lead to limb amputation or death due to critical limb ischemia. Our analysis covers prevalence, incidence, mortality, years lived with disability (YLDs), years of life lost (YLLs), and disability - adjusted life years (DALYs). A key finding of this study is from the Age - period - cohort (APC) analysis. It shows that age and period effects are risk factors for the incidence and mortality of PAD, while birth cohort effects have a protective role. Additionally, projections using the Autoregressive Integrated Moving Average (ARIMA) model indicate that the risk of death from PAD will increase for males in the future. Through Joinpoint regression analysis, we delineate the temporal trends. Considering China's aging population, the growing disease burden from economic progress, and the rapidly changing healthcare landscape, these findings highlight the escalating challenge of PAD. The study's predictions serve as a warning of the continued rise in PAD incidence and emphasize the urgent need for public health interventions to address the increasing burden.

Indexed as

Cost of IllnessLower ExtremityPeripheral Arterial DiseaseAdultAgedAged, 80 and overChinaDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceMaleMiddle AgedPattern Analysis, MachinePrevalenceAMIRAburden of diseaseChinaGBDPAD

Identifiers

PMID40612560
PMCPMC12221934

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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.