Evidence map›Paper›PMID 29482877›Full record

ArticleJournal of vascular surgery2018

The impact of race on outcomes after carotid endarterectomy in the United States.

Alexander B Pothof, Peter A Soden, Sarah E Deery, Thomas F X O'Donnell, Grace J Wang, Kakra Hughes, Gert J de Borst, Marc L Schermerhorn, Society for Vascular Surgery Vascular Quality Initiative

Abstract readComparative Study
In one paragraph

Article in Journal of vascular surgery, 2018. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alexander B PothofDivision of Vascular and Endovascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass; Department of Vascular Surgery, University Medical Center, Utrecht, The Netherlands.
Peter A SodenDivision of Vascular and Endovascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass.
Sarah E DeeryDivision of Vascular and Endovascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass; Department of Surgery, Massachusetts General Hospital, Boston, Mass.
Thomas F X O'DonnellDivision of Vascular and Endovascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass; Department of Surgery, Massachusetts General Hospital, Boston, Mass.
Grace J WangDepartment of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pa.
Kakra HughesDepartment of Surgery, Howard University and Hospital, Washington, D.C.
Gert J de BorstDepartment of Vascular Surgery, University Medical Center, Utrecht, The Netherlands.
Marc L SchermerhornDivision of Vascular and Endovascular Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass. Electronic address: mscherm@bidmc.harvard.edu.
Society for Vascular Surgery Vascular Quality Initiative

Funding

HARVARD-LONGWOOD RESEARCH TRAINING IN VASCULAR SURGERYT32HL007734 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE, LOGERFO, FRANK W · 1993 to 2023
$10.5M
NHLBI NIH HHS T32 HL007734
6 · The paper itself

Abstract

objectiveBlack patients undergoing carotid endarterectomy (CEA) in the United States are more often symptomatic at presentation and have more comorbidities compared with white patients. However, the impact of race on outcomes after CEA is largely unknown.

methodsWe identified CEA patients in the Vascular Quality Initiative registry (2012-2017) and compared them by race (black vs white). All other nonwhite races (891 [1.4%]) and Hispanics (2222 [3.4%]) were excluded. We used multilevel logistic regression to account for differences in demographics and comorbidities. We assessed long-term survival using multivariable Cox regression. The primary outcome was perioperative stroke/death, with long-term survival as a secondary outcome.

resultsWe included 57,622 CEA patients; 2909 (5.0%) were black, of whom 983 (34%) were symptomatic. Of the 54,713 white patients, 16,132 (30%) were symptomatic. Black patients, compared with white patients, had a higher vascular disease burden and were less likely to be operated on in a high-volume hospital or by a high-volume surgeon. In addition, black symptomatic patients, compared with white symptomatic patients, were more often operated on <2 weeks after the index neurologic symptom (47% vs 40%; P < .001). Perioperative stroke/death was comparable between black and white patients (symptomatic, 2.8% vs 2.2% [P = .2]; asymptomatic, 1.6% vs 1.3% [P = .2]), as was unadjusted survival at 3 years (93% vs 93%; P = .7). However, after adjustment, black patients did experience better long-term survival compared with white patients (hazard ratio, 0.8; 95% confidence interval, 0.7-0.9; P = .01). On multilevel logistic regression, race was not associated with perioperative stroke/death (odds ratio, 1.0; 95% confidence interval, 0.8-1.3; P = .98).

conclusionsDespite the greater prevalence of vascular risk factors in black patients and racial inequalities in surgical treatment, rates of perioperative stroke/death and unadjusted survival were similar between white and black patients. Moreover, black patients experienced better adjusted long-term survival after CEA.

Indexed as

Black or African AmericanEndarterectomy, CarotidHealth Status DisparitiesWhite PeopleAgedAged, 80 and overCarotid Artery DiseasesChi-Square DistributionComorbidityFemaleHealthcare DisparitiesHumansLogistic ModelsMaleMiddle AgedMultivariate Analysis

Identifiers

PMID29482877
PMCPMC6057797

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.