Evidence mapPaperPMID 40760413Full record

ArticleBMC geriatrics2025

Trends of the burden, risk factors, and future projections of peripheral artery disease in the elderly.

Xiang Chen, Wenqiang Wang, Shunan Dong, Lu Wei, Puxiang Zhen, Yongjun Mo, Xinyu Nie, Qikai Hua

Abstract read
In one paragraph

Article in BMC geriatrics, 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. Article
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.

Xiang ChenDepartment of Bone and Joint Surgery (Guangxi Diabetic Foot Salvage Engineering Research Center/Research Centre for Regenerative Medicine), the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Wenqiang WangDepartment of Bone and Joint Surgery (Guangxi Diabetic Foot Salvage Engineering Research Center/Research Centre for Regenerative Medicine), the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Shunan DongDepartment of Bone and Joint Surgery (Guangxi Diabetic Foot Salvage Engineering Research Center/Research Centre for Regenerative Medicine), the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Lu WeiDepartment of Trauma Center, Liuzhou Worker's Hospital, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, 545005, China.
Puxiang ZhenNational Demonstration Center for Experimental (General Practice) Education, Hubei University of Science and Technology, Xianning, 437000, China.
Yongjun MoDepartment of Orthopaedics, Guigang City People's Hospital, Guigang, 537100, China.
Xinyu NieDepartment of Orthopedics, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230002, China. xni1@bwh.harvard.edu.
Qikai HuaDepartment of Bone and Joint Surgery (Guangxi Diabetic Foot Salvage Engineering Research Center/Research Centre for Regenerative Medicine), the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. hqk100@sr.gxmu.edu.cn.

Funding

Clinical research climbing plan of the First Affiliated Hospital of Guangxi Medical University YYZS2020010Guangxi Key Research and Development Program 2021AB11027Key Research and Development Plan of Qingxiu District, Nanning City 2020053National Natural Science Foundation of China 82260448Natural Science Foundation of Guangxi Province 2023JJD140126
6 · The paper itself

Abstract

backgroundElderly individuals have a higher burden of peripheral arterial disease (PAD), but currently, there are no global reports on the disease burden of PAD in patients aged 60 and above.

methodsThis study analyzed data on elderly patients with PAD from 1990 to 2021 using the Global Burden of Disease (GBD) database, focusing on prevalence, mortality, and Disability-Adjusted Life Years (DALYs). We summarized the trends in disease burden across 21 GBD regions and 204 countries and projected the global burden for the next 20 years.

resultsBetween 1990 and 2021, the prevalence cases of elderly PAD individuals worldwide increased by 105%, from 42,618,313 to 87,523,486. However, the Age-standardized prevalence rate (ASPR) decreased to 8,220.2 cases per 100,000 population (95% UI: 6,717.3-9,995.7), with an Estimated Annual Percentage Change (EAPC) of -0.52 (95% CI: -0.56 to -0.48). Similar trends were observed in mortality and DALYs. In 2021, elderly individuals represented 77% of PAD prevalence cases and 94% of related mortality cases. The ASPR for women was 1.7 times higher than for men, yet women experienced a lower mortality rate and DALY rate, suggesting a heavier overall disease burden. The disease burden increased with the Socio-Demographic Index (SDI), with the fastest growth observed in Low and Low-middle SDI regions. Among the GBD regions, High-Income North America and Western Europe had the highest burden, with the United States bearing the heaviest burden of all 204 countries. High fasting blood glucose was the leading risk factor, contributing 36% of the PAD burden, with population growth being the primary driver of the rising burden. The disease burden is projected to intensify over the next two decades.

conclusionsFrom 1990 to 2021, the burden of PAD in the elderly has steadily increased, with projections for continued growth over the next two decades. Addressing diabetes and global population trends is essential for guiding effective public health strategies.

Indexed as

Cost of IllnessPeripheral Arterial DiseaseAgedAged, 80 and overDisability-Adjusted Life YearsFemaleForecastingGlobal Burden of DiseaseGlobal HealthHumansMaleMiddle AgedPrevalenceRisk FactorsDALYsDisease burdenElderlyMortalityPeripheral artery diseasePrevalence

Identifiers

PMID40760413
PMCPMC12323062

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.