Evidence map›Paper›PMID 36253661›Full record

ArticleObesity surgery2022

Predicting Early Weight Loss Failure Using a Bariatric Surgery Outcomes Calculator and Weight Loss Curves.

Andrew Kraftson, Anne H Cain-Nielsen, Amy Lockwood, Yingying Luo, Colleen Buda, Corey Lager, Nazanene H Esfandiari, Elif Oral, Oliver A Varban

Abstract read
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Weight Loss Prediction after Metabolic and Bariatric Surgery.Journal of obesity & metabolic syndrome · 2023
    Review
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

9 authors.

Andrew KraftsonDepartment of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes, University of Michigan, 24 Frank Lloyd Wright Drive, Suite G 1500, Ann Arbor, MI, 48105, USA. Andrewkr@med.umich.edu.ORCID 0000-0002-8860-2588
Anne H Cain-NielsenCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI, USA.
Amy LockwoodDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Yingying LuoDepartment of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes, University of Michigan, 24 Frank Lloyd Wright Drive, Suite G 1500, Ann Arbor, MI, 48105, USA.
Colleen BudaDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Corey LagerBronson Diabetes and Endocrinology Center, Ann Arbor, MI, USA.
Nazanene H EsfandiariDepartment of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes, University of Michigan, 24 Frank Lloyd Wright Drive, Suite G 1500, Ann Arbor, MI, 48105, USA.
Elif OralDepartment of Internal Medicine, Division of Metabolism, Endocrinology & Diabetes, University of Michigan, 24 Frank Lloyd Wright Drive, Suite G 1500, Ann Arbor, MI, 48105, USA.
Oliver A VarbanHenry Ford Health, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextWeight loss after bariatric surgery can be accurately predicted using an outcomes calculator; however, outliers exist that do not meet the 1 year post-surgery weight projections.

objectiveOur goal was to determine how soon after surgery these outliers can be identified.

designWe conducted a retrospective cohort study. SETTING, PATIENTS, AND

interventionUsing a bariatric surgery outcomes calculator formulated by the Michigan Bariatric Surgery Collaborative (MBSC), predicted weight loss at 1 year post-surgery was calculated on all patients who underwent primary bariatric surgery at a single-center academic institution between 2006 and 2015 who also had a documented 1-year follow-up weight (n = 1050).

main outcome measuresWeight loss curves were compared between high, low, and non-outliers as defined by their observed-to-expected (O:E) weight loss ratio based on total body weight loss (TBWL) %.

resultsMean predicted weight loss for the study group was 39.1 ± 9.9 kg, while mean actual weight loss was 39.7 ± 17.1 kg resulting in a mean O:E 1.01 (± 0.35). Based on analysis of the O:E ratios at 1 year post-surgery, the study group was sub-classified. Low outliers (n = 188, O:E 0.51) had significantly lower weight loss at 2 months (13.1% vs 15.6% and 16.5% TBWL, p < 0. 001) and at 6 months (19% vs 26% and 30% TBWL, p < 0.001) when compared to non-outliers (n = 638, O:E 1.00) and high outliers (n = 224, O:E 1.46), respectively.

conclusionsWeight loss curves based on individually calculated outcomes can help identify low outliers for additional interventions as early as 2 months after bariatric surgery.

Indexed as

Bariatric SurgeryObesity, MorbidHumansMichiganRetrospective StudiesTreatment OutcomeWeight LossBariatric surgeryPatient-reported outcomesWeight lossWeight loss failureWeight-related comorbidities

Identifiers

PMID36253661

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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.