Evidence map›Paper›PMID 35624077›Full record

ArticleJournal of the American Heart Association2022

Impact of Racial Disparities in Preoperative Cardiovascular Evaluation and Surgical Outcomes in Patients Undergoing Metabolic and Bariatric Surgery: A Retrospective Cohort Analysis.

Kaitlyn D Ibrahim, Lauren A Tragesser, Rohit Soans, Abdullah Haddad, Vikram J Eddy, Joseph McComb, Martin G Keane, Isaac R Whitman

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. 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
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Kaitlyn D IbrahimLewis Katz School of Medicine at Temple University Philadelphia PA.ORCID 0000-0001-8206-8735
Lauren A TragesserLewis Katz School of Medicine at Temple University Philadelphia PA.
Rohit SoansLewis Katz School of Medicine at Temple University Philadelphia PA.
Abdullah HaddadLewis Katz School of Medicine at Temple University Philadelphia PA.
Vikram J EddyLewis Katz School of Medicine at Temple University Philadelphia PA.
Joseph McCombLewis Katz School of Medicine at Temple University Philadelphia PA.
Martin G KeaneLewis Katz School of Medicine at Temple University Philadelphia PA.
Isaac R WhitmanLewis Katz School of Medicine at Temple University Philadelphia PA.ORCID 0000-0002-2329-7690
Temple University Hospital · USMain Line Health · USTemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background We investigated preoperative referral patterns, rates of cardiovascular testing, surgical wait times, and postoperative outcomes in White versus Black, Hispanic, or other racial or ethnic groups of patients undergoing metabolic and bariatric surgery. Methods and Results This was a single center retrospective cohort analysis of 797 consecutive patients undergoing metabolic and bariatric surgery from January 2014 to December 2018; 86% (n=682) were Black, Hispanic, or other racial or ethnic groups. White versus Black, Hispanic, or other racial or ethnic groups had similar baseline comorbidities and were referred for preoperative cardiovascular evaluation in similar proportion (65% versus 68%,

Indexed as

Bariatric SurgeryCohort StudiesHealthcare DisparitiesHumansRacial GroupsRetrospective StudiesTreatment OutcomeUnited Statescardiovascular risk stratificationmetabolic and bariatric surgerypreoperative evaluationracial disparities

Identifiers

PMID35624077
PMCPMC9238690
OpenAlexW4281731813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.