Evidence map›Paper›PMID 31964567›Full record

ArticleJournal of vascular surgery2020

The effect of rurality on the risk of primary amputation is amplified by race.

Samantha Danielle Minc, Philip P Goodney, Ranjita Misra, Dylan Thibault, Gordon Stephen Smith, Luke Marone

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of vascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  15. Vascular surgeons are positioned to fight healthcare disparities.Journal of vascular surgery. Venous and lymphatic disorders · 2024
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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

6 authors at 2 institutions in 1 country.

Samantha Danielle MincDivision of Vascular and Endovascular Surgery, West Virginia University School of Medicine, Morgantown, WV. Electronic address: samantha.minc@wvumedicine.org.
Philip P GoodneySection of Vascular Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH.
Ranjita MisraDepartment of Social and Behavioral Sciences, West Virginia University School of Public Health, Morgantown, WV.
Dylan ThibaultDivision of Vascular and Endovascular Surgery, West Virginia University School of Medicine, Morgantown, WV.
Gordon Stephen SmithDepartment of Epidemiology, West Virginia University School of Public Health, Morgantown, WV.
Luke MaroneDivision of Vascular and Endovascular Surgery, West Virginia University School of Medicine, Morgantown, WV.
West Virginia University · USDartmouth–Hitchcock Medical Center · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
Rural West Virginia Responds to Opioid Injection Epidemics: From Data to ActionUG3DA044825 · NIDA · WEST VIRGINIA UNIVERSITY · PI FEINBERG, JUDITH, SMITH, GORDON STEPHEN · 2017 to 2018
$1.0M
NIDA NIH HHS UG3 DA044825NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

objectivePrimary amputation (ie, without attempted revascularization) is a devastating complication of peripheral artery disease. Racial disparities in primary amputation have been described; however, rural disparities have not been well investigated. The purpose of this study was to examine the impact of rurality on risk of primary amputation and to explore the effect of race on this relationship.

methodsThe national Vascular Quality Initiative amputation data set was used for analyses (N = 6795). The outcome of interest was primary amputation. Independent variables were race/ethnicity (non-Latinx whites vs nonwhites) and rural residence. Multivariable logistic regression examined impact of rurality and race/ethnicity on primary amputation after adjustment for relevant covariates and included an interaction for race/ethnicity by rural status.

resultsPrimary amputation occurred in 49% of patients overall (n = 3332), in 47% of rural vs 49% of urban patients (P = .322), and in 46% of whites vs 53% of nonwhites (P < .001). On multivariable analysis, nonwhites had a 21% higher odds of undergoing primary amputation overall (adjusted odds ratio [AOR], 1.21; 95% confidence interval [CI], 1.05-1.39). On subgroup analysis, rural nonwhites had two times higher odds of undergoing primary amputation than rural whites (AOR, 2.06; 95% CI, 1.53-2.78) and a 52% higher odds of undergoing primary amputation than urban nonwhites (AOR, 1.52; 95% CI, 1.19-1.94). In the urban setting, nonwhites had a 21% higher odds of undergoing primary amputation than urban whites (AOR, 1.21; 95% CI, 1.05-1.39).

conclusionsIn these analyses, rurality was associated with greater odds for primary amputation in nonwhite patients but not in white patients. The effect of race on primary amputation was significant in both urban and rural settings; however, the effect was significantly stronger in rural settings. These findings suggest that race/ethnicity has a compounding effect on rural health disparities and that strategies to improve health of rural communities need to consider the particular needs of nonwhite residents to reduce disparities.

Indexed as

Amputation, SurgicalRural Health ServicesAgedFemaleHealthcare DisparitiesHumansMaleMiddle AgedPeripheral Arterial DiseaseRace FactorsRetrospective StudiesRisk AssessmentRisk FactorsRural HealthUrban HealthUrban Health ServicesAmputationAmputation disparitiesPeripheral artery diseaseRacial disparitiesRural disparitiesRural health

Identifiers

PMID31964567
PMCPMC7404623
OpenAlexW3000565156

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.