Evidence map›Paper›PMID 32382964›Full record

ArticleObesity surgery2020

An Evaluation of the Modern North American Bariatric Surgery Landscape: Current Trends and Predictors of Procedure Selection.

Valentin Mocanu, Jerry T Dang, Warren Sun, Daniel W Birch, Shahzeer Karmali, Noah J Switzer

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

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.
Warren SunDepartment of Surgery, 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.
Noah J SwitzerCentre for the Advancement of Minimally Invasive Surgery (CAMIS), Royal Alexandra Hospital, Edmonton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe last 5 years have produced a dramatic transformation in the landscape of bariatric and metabolic surgery. Yet, while the landscape of bariatric procedures is changing, little is known about these trends or which factors are responsible for their evolution.

methodsAll primary elective laparoscopic Roux-en-Y gastric bypass (LRYGB) and laparoscopic sleeve gastrectomy (LSG) cases were extracted from the comprehensive Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) data registry from 2015 to 2018.

resultsA total of 590,971 patients were identified, with 79.6% being female. Overall, 73.4% of patients underwent LSG. The mean age was 44.5 ± 12.0 years and mean BMI was 45.3 ± 7.9 kg/m

conclusionThe overall numbers of bariatric cases have increased from 2015 to 2018 and are associated with an increase in proportion of LSG cases and a decrease in proportion of LRYGB cases over time. Factors other than patient comorbidities alone are responsible for the current trends and modern landscape of bariatric surgery.

Indexed as

Bariatric SurgeryGastric BypassLaparoscopyObesity, MorbidAdultFemaleGastrectomyHumansMaleMiddle AgedPostoperative ComplicationsUnited StatesBariatric surgeryGastric bypassSleeve gastrectomyTrends

Identifiers

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Registered trials

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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.