Evidence map›Paper›PMID 41361044›Full record

ArticleJournal of general internal medicine2025

Peripheral Artery Disease in US Primary Care Practices: A Retrospective EHR-Based Analysis from 2018 to 2022.

Valentine C Nriagu, Shiying Hao, Neil S Kamdar, Eri Fukaya, Xiaoyu Wang, Karoline Kallis, David H Rehkopf, Elsie G Ross

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Valentine C NriaguDepartment of Medicine, Maimonides Medical Center, Brooklyn, NY, USA.
Shiying HaoCenter for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Neil S KamdarCenter for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Eri FukayaDepartment of Surgery, Division of Vascular Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Xiaoyu WangCenter for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Karoline KallisDepartment of Surgery, Division of Vascular Surgery, University of California, San Diego School of Medicine, La Jolla, CA, USA.
David H RehkopfCenter for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Elsie G RossDepartment of Surgery, Division of Vascular Surgery, University of California, San Diego School of Medicine, La Jolla, CA, USA. e5ross@health.ucsd.edu.

Funding

Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)R01AG084343 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elsie Gyang Ross · 2023 to 2026
$2.1M
NIA NIH HHS 2P30AG059307NIA NIH HHS R01 AG084343NIA NIH HHS R01AG084343-02
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) affects > 10 million adults over age 40, causing high morbidity, mortality, and healthcare costs in the USA. Primary care settings are critical for early detection of PAD, and understanding the landscape of PAD diagnosis patterns can help identify high-risk populations and inform screening strategies to address disparities.

objectiveTo characterize the epidemiological patterns of PAD diagnosis and examine the clinical and socioeconomic characteristics of patients diagnosed with PAD in US primary care settings.

designRetrospective cohort study utilizing electronic health record data from the American Family Cohort (AFC) from 2018 to 2022. SUBJECTS: Patients over 40 years old with at least two primary care visits during the study period. MAIN MEASURES: The primary outcome was documented PAD diagnosis. The secondary outcome was the cumulative incidence of PAD. Covariates included sociodemographic characteristics, comorbidities, body mass index, smoking status, and social deprivation index.

resultsA total of 18,405 patients had a new diagnosis of PAD among 2,313,650 eligible patients. PAD patients were more likely to be male (49% vs. 43%), older (64% of patients aged 60-79), current smokers (17% vs. 11%), from racial/ethnic minority groups, and residing in areas with higher social deprivation. PAD patients also had a significantly higher burden of medical comorbidities than non-PAD patients (CVD 10% vs. 3%; CAD 22% vs. 8%; heart failure 11% vs. 4%; hypertension 74% vs. 52%; diabetes 33% vs. 19%; hyperlipidemia 65% vs. 50%). Non-Hispanic Black and Hispanic individuals had higher odds of PAD diagnosis compared to non-Hispanic Whites across all comorbidity groups. Unlike CAD and hyperlipidemia with decreased incidence, PAD incidence increased notably in 2021.

conclusionsPAD diagnosis patterns across racial, ethnic, and neighborhood socioeconomic groups reveal significant differences in burden of disease. Optimized screening in the primary care setting targeting these high-risk groups is important to improve early detection and reduce PAD-related disparities.

Indexed as

CVDperipheral artery diseaseprimary careracesocioeconomic factors

Identifiers

PMID41361044
PMCPMC13390906

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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.