Evidence map›Paper›PMID 40642754›Full record

ArticleJVS-vascular insights2025

Engaging patients and their caregivers in research to improve evidence-based, patient-centered and equitable care for chronic limb-threatening ischemia and advanced peripheral artery disease.

Isabel Bjork, Hope Weissler, Thilini Herath, Megan Patterson, Rhusheet Patel, Patrick Geraghty, Matthew Menard, Matthew Corriere, Samantha Minc, David G Armstrong and 3 more

Abstract read
In one paragraph

Article in JVS-vascular insights, 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

13 authors.

Isabel BjorkExecutive Director, Foundation to Advance Vascular Cures, San Francisco, CA, USA.
Hope WeisslerDuke University School of Medicine, Department of Surgery, Durham, NC, USA.
Thilini HerathFoundation to Advance Vascular Cures, San Francisco, CA, USA.
Megan PattersonFoundation to Advance Vascular Cures, San Francisco, CA, USA.
Rhusheet PatelDivision of Vascular Surgery, Oregon Health & Science University (OHSU), Portland, OR, USA.
Patrick GeraghtyWashington University in St. Louis, Department of Surgery, St. Louis, MO, USA.
Matthew MenardBrigham and Women's Hospital, Division of Vascular and Endovascular Surgery, Boston, MA, USA.
Matthew CorriereUniversity of Michigan Medical School, Department of Vascular Surgery, Ann Arbor, MI, USA.
Samantha MincDuke University School of Medicine, Department of Surgery, Durham, NC, USA.
David G ArmstrongKeck Medicine of USC, Department of Surgery, Los Angeles, CA, USA.
Sherene ShalhubOregon Health & Science University (OHSU), Department of Surgery, Portland, OR, USA.
Manesh PatelDuke University School of Medicine, Department of Medicine, Durham, NC, USA.
Michael S ConteUniversity of California, San Francisco (UCSF) Health, Division of Vascular & Endovascular Surgery, San Francisco, CA, USA.

Funding

Implementing a Community-Engaged Amputation Prevention Intervention in Rural Patients with Diabetes and Peripheral Arterial DiseaseK23DK128569 · NIDDK · WEST VIRGINIA UNIVERSITY · PI MINC, SAMANTHA D · 2021 to 2025
$977k
NIDDK NIH HHS K23 DK128569
6 · The paper itself

Abstract

Chronic limb-threatening ischemia (CLTI) is the end stage of advanced peripheral artery disease (PAD), a condition that is estimated to affect more than 200 million individuals globally. CLTI poses significant risks to many patients, particularly those from underserved populations (e.g., racial/ethnic minorities, low-income individuals, and rural populations) who experience significant disparities in care and outcomes, including higher rates of amputation, reduced quality of life, and lower survival rates. In 2021, the non-profit Foundation to Advance Vascular Cures, with support from the Patient Centered Outcomes Research Institute (PCORI), created a working group made up of patients, caregivers, researchers, industry experts, and non-profit advocates to develop a roadmap to increase patient engagement in CLTI research. Following a literature review, the working group used surveys, interviews, collaborative discussions, and focus groups to gain information from multiple stakeholder groups over a two-year period. This project built capacity on education and learning with the key observations presented. Our observations include: (1) early engagement of patients and caregivers in the research process improves the study design and enables more meaningful research; (2) frequent interpersonal contact paired with targeted, minimally burdensome education in research and disease increases meaningful engagement of patients with CLTI and their caregivers; (3) building trust between patients, caregivers, and researchers is essential to the success of these initiatives; (4) qualitative research complements quantitative results because it can lead to a nuanced understanding of patient experiences, goals, and perspectives; and (5) patients and caregivers are more likely to engage when research-related information is easy to access and has low burden in terms of time and resources. These observations underscore the need for stakeholder input to research design as well as the plans of funders and investigators in this field. Stakeholders noted the particular need for outreach to traditionally underrepresented and underserved populations, with whom more research is needed to meaningfully address health disparities.

Indexed as

Chronic limb-threatening ischemia (CLTI)Health disparitiesPatient engagementPeripheral artery disease (PAD)Stakeholder collaboration

Identifiers

PMID40642754
PMCPMC12245146

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.