Evidence map›Paper›PMID 31916134›Full record

ArticleObesity surgery2020

Sex and Race Predict Adverse Outcomes Following Bariatric Surgery: an MBSAQIP Analysis.

Valentin Mocanu, Jerry T Dang, Noah Switzer, Karen Madsen, Daniel W Birch, Shahzeer Karmali

Abstract read
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Article in Obesity surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 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

6 authors at 2 institutions in 1 country.

Valentin MocanuDepartment of Surgery, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada. vmocanu@ualberta.ca.ORCID http://orcid.org/0000-0001-7855-6242
Jerry T DangDepartment of Surgery, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Noah SwitzerCentre for the Advancement of Minimally Invasive Surgery (CAMIS), Royal Alexandra Hospital, Edmonton, Canada.
Karen MadsenDepartment of Gastroenterology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Daniel W BirchCentre for the Advancement of Minimally Invasive Surgery (CAMIS), Royal Alexandra Hospital, Edmonton, Canada.
Shahzeer KarmaliCentre for the Advancement of Minimally Invasive Surgery (CAMIS), Royal Alexandra Hospital, Edmonton, Canada.
Royal Alexandra Hospital · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile bariatric surgery is safe, rates of postoperative complications continue to vary considerably across specific patient populations.

methodsWe identified all Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program data registry (MBSAQIP) patients who underwent primary laparoscopic sleeve gastrectomy (LSG) or Roux-en-Y gastric bypass (RYGB) from 2015 to 2017. Categorical variables were expressed as percentages and continuous variables as weighted mean ± standard deviation (SD). Univariate analysis was performed using chi-squared tests for categorical data and independent sample t test for continuous data. Non-parsimonious multivariable logistic regression models were developed to determine predictive factors for mortality and major complications.

resultsA total of 430,936 patients were identified using the MBSAQIP database from 2015 to 2017 (Table 1). The majority of patients were female (79.3%), white (73.1%), and underwent laparoscopic sleeve gastrectomy (72.8%). The second most common identified race was African-American (17.6%) followed by other (9.3%). The mean age of our population was 43.9 ± 11.0 years with a mean body mass index of 46.6 ± 8.5 kg/m

conclusionRace and sex are independent predictors of adverse outcomes following bariatric surgery in a multivariate logistic regression analysis of the MBSAQIP database. The influence of these factors requires further study in order to continue optimizing bariatric surgery outcomes.

Indexed as

Bariatric SurgeryGastric BypassObesity, MorbidAdultFemaleGastrectomyHumansMaleMiddle AgedPostoperative ComplicationsTreatment OutcomeBariatric surgeryGenderRaceSex

Identifiers

PMID31916134
OpenAlexW2999762286

What OpenQuestion holds

Textmetadata
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.