Evidence map›Paper›PMID 35387516›Full record

ArticleVascular medicine (London, England)2022

Impact of risk factor control on peripheral artery disease outcomes and health disparities.

F Will Pohlman, Cassie B Ford, E Hope Weissler, Michelle M Smerek, N Chantelle Hardy, Dennis I Narcisse, Steven J Lippmann, Melissa A Greiner, Chandler Long, Jennifer A Rymer and 3 more

Open access · greenAbstract read
In one paragraph

Article in Vascular medicine (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

F Will PohlmanDuke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-6749-0153
Cassie B FordDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
E Hope WeisslerDivision of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, USA.
Michelle M SmerekDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
N Chantelle HardyDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0001-6962-6579
Dennis I NarcisseDivision of Cardiology, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0003-0898-983X
Steven J LippmannDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0003-2838-1186
Melissa A GreinerDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Chandler LongDivision of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, USA.
Jennifer A RymerDivision of Cardiology, Duke University School of Medicine, Durham, NC, USA.
J Antonio GutierrezDivision of Cardiology, Duke University School of Medicine, Durham, NC, USA.
Manesh R PatelDivision of Cardiology, Duke University School of Medicine, Durham, NC, USA.
W Schuyler JonesDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Duke University · US

Funding

Addressing variability in peripheral arterial disease outcomes using machine learning techniquesF32HL151181 · NHLBI · DUKE UNIVERSITY · PI WEISSLER, ELIZABETH HOPE · 2020 to 2021
$130k
NHLBI NIH HHS F32 HL151181
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) is associated with modifiable atherosclerotic risk factors like hypertension, diabetes, hyperlipidemia, and smoking. However, the effect of risk factor control on outcomes and disparities in achieving control is less well understood.

methodsAll patients in an integrated, regional health system with PAD-related encounters, fee-for-service Medicare, and clinical risk factor control data were identified. Component risk factors were dichotomized into controlled and uncontrolled categories (control defined as low-density lipoprotein < 100 mg/dL, hemoglobin A1c < 7.0%, SBP < 140 mmHg, and current nonsmoker) and composite categories (none, 1, ⩾ 2 uncontrolled RFs) created. The primary outcome was major adverse vascular events (MAVE, a composite of all-cause mortality, myocardial infarction, stroke, and lower-extremity revascularization and amputation).

resultsThe cohort included 781 patients with PAD, average age 72.5 ± 9.8 years, of whom 30.1% were Black, and 19.1% were Medicaid dual-enrolled. In this cohort, 260 (33.3%) had no uncontrolled risk factors and 200 (25.6%) had two or more uncontrolled risk factors. Patients with the poorest risk factor control were more likely to be Black (

conclusionsrisk factor control is poor among patients with PAD. Significant disparities in achieving optimal risk factor control represent a potential target for reducing inequities in outcomes.

Indexed as

MedicarePeripheral Arterial DiseaseAgedAged, 80 and overAmputation, SurgicalHumansLower ExtremityMiddle AgedRisk FactorsTreatment OutcomeUnited Statesatherosclerosishealth disparitiesperipheral artery disease (PAD)risk factor control

Identifiers

PMID35387516
PMCPMC10908093
OpenAlexW4226372477

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.