Evidence map›Paper›PMID 32009214›Full record

ArticleObesity surgery2020

Positive and Negative Independent Predictive Factors of Weight Loss After Bariatric Surgery in a Veteran Population.

Riley Kitamura, Rui Chen, Amber Trickey, Dan Eisenberg

Abstract read
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In one paragraph

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. Pre-surgical factors related to latent trajectories of 5-year weight loss for a diverse bariatric surgery population.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2024
    Article
  6. Sex- and operation-dependent effects on 5-year weight loss results of bariatric surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2024
    Observational
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  13. Weight Loss Prediction after Metabolic and Bariatric Surgery.Journal of obesity & metabolic syndrome · 2023
    Review
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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

4 authors at 2 institutions in 1 country.

Riley KitamuraSurgical Services, Palo Alto VA Health Care System, Palo Alto, CA, USA.
Rui ChenDepartment of Surgery and Stanford-Surgery Policy Improvement Research and Education Center, Stanford School of Medicine, Palo Alto, CA, USA.
Amber TrickeyDepartment of Surgery and Stanford-Surgery Policy Improvement Research and Education Center, Stanford School of Medicine, Palo Alto, CA, USA.
Dan EisenbergSurgical Services, Palo Alto VA Health Care System, Palo Alto, CA, USA. daneisenberg@stanford.edu.ORCID http://orcid.org/0000-0002-5908-3942
Stanford Medicine · USVA Palo Alto Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFactors predicting outcomes after bariatric surgery are yet to be elucidated. We aim to characterize patient-level factors that predict midterm weight loss.

methodsA database of bariatric surgery at a Veterans Affairs (VA) hospital was retrospectively reviewed. Patient characteristics including age, race, sex, median zip code household income, and distance to the VA bariatric center were analyzed for relationships with percent excess body mass index loss (%EBMIL). Univariate and multivariate analyses were conducted to identify factors independently associated with weight loss after accounting for follow-up time, using stepwise variable selection. A multivariable mixed effects linear regression model was constructed with random intercepts for repeated measures by veteran and fixed effects for time, patient, and procedural characteristics, including comorbidities.

resultsA total of 1124 observations were analyzed for 340 bariatric patients. Most were male (77%), white (73%); mean age was 53.2 years and mean preoperative BMI was 43.9 kg/m

conclusionRYGB and female sex are independent predictors of greater midterm weight loss after bariatric surgery. African American race and a high burden of comorbidity are predictive of poorer weight loss. Neither zip code median income nor distance from bariatric center was associated with weight loss.

Indexed as

Bariatric SurgeryDiabetes Mellitus, Type 2Gastric BypassLaparoscopyObesity, MorbidVeteransBody Mass IndexFemaleGastrectomyHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeWeight LossBariatric surgeryOutcomesVeteransWeight loss

Identifiers

PMID32009214
OpenAlexW3004124220

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.