Evidence map›Paper›PMID 41274931›Full record

ArticleScientific reports2025

Trends and disparities in mortality associated with peripheral artery disease and hyperlipidemia, 1999-2024.

Saifullah Khan, Muhammad Hassan, Muhammad Hussain, Hassan Abdul Aziz Dhedhi, Wania Fatima, Javeria Nawaz, Aiza Ahsan, F N U Pirih, Nisha Khalid, Mariam Qaisar and 9 more

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Saifullah KhanDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Muhammad HassanDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Muhammad HussainDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Hassan Abdul Aziz DhedhiDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Wania FatimaDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Javeria NawazDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Aiza AhsanDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
F N U PirihDepartment of Medicine, People's University of Medical and Health Sciences, Shaheed Benazirabad, Pakistan.
Nisha KhalidDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Mariam QaisarDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Ahmad Anees QureshiDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Maria BaigDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Sherif EltawansyDepartment of Medicine, Jersey Shore University Medical Center, Neptune, NJ, USA.
Muhammad Khalid AfridiDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Preet MemonDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Saad Ahmed WaqasDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Gregg C FonarowAhmanson-UCLA Cardiomyopathy Center, Ronald Reagan-UCLA Medical Center, Los Angeles, CA, USA.
Raheel AhmedDepartment of Cardiology, Newcastle Upon Tyne Hospitals, NHS Foundation Trust, Newcastle Upon Tyne, UK.
Hasibullah AminpoorFaculty of Medicine, Kabul University of Medical Sciences "Abu Ali Ibn Sina", Ata Turk Avenue, Jamal Mena, 3rd District, 1001, Kabul, Afghanistan. hasibaminpoor786@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral artery disease (PAD) with hyperlipidemia adds significantly to the national burden of cardiovascular disease. However, population-level trends in mortality for these conditions are not well understood. We used nationally representative data to investigate long-term temporal patterns and disparities in PAD and hyperlipidemia related mortality in the United States. This descriptive analysis analyzed death records from the CDC WONDER database from 1999 to 2024. The age-adjusted mortality rates (AAMRs) per 100,000 people were calculated for each demographic and geographic strata. AAMRs were standardized to 2000 U.S. standard population. Temporal trends in AAMRs were analyzed using Joinpoint regression to estimate the average annual percent change (AAPC) with 95% confidence intervals (CIs) and p value. Between 1999 and 2024, a total of 148,416 PAD with hyperlipidemia-related deaths were recorded among U.S. adults ≥ 25 years. The national AAMR rose from 0.74 in 1999 to 3.92 in 2024, corresponding to an overall AAPC of 6.32. Both sexes experienced increasing mortality, though men had higher rates and faster growth compared with women. By race/ethnicity, AAMRs increased across all groups, with the steepest relative rise among Hispanic individuals, followed by Non-Hispanic (NH) Black, NH White, and NH Asian or Pacific Islander populations. Geographic disparities were observed, with state-level AAMRs ranging from 0.92 in Georgia to 5.06 in Vermont, and the highest regional mean AAMR in the West (2.93). Finally, rural areas consistently exhibited higher mean AAMRs than urban areas, with slightly steeper increase over time. AAMRs related to PAD and hyperlipidemia have increased more than fivefold, with disproportionately higher rates among men, Hispanic populations, residents of Western regions, and those in rural areas. These patterns suggest widening disparities in vascular health and underscore the need for strengthened preventive efforts, improved lipid management, and more equitable access to cardiovascular care.

Indexed as

HyperlipidemiasPeripheral Arterial DiseaseAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedUnited States

Identifiers

PMID41274931
PMCPMC12748544

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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 OpenQuestion graph.