Evidence map›Paper›PMID 25387683›Full record

ArticleObesity surgery2015

Type 2 Diabetes Remission After Gastric Bypass: What Is the Best Prediction Tool for Clinicians?

Aurélie Cotillard, Christine Poitou, Guillemette Duchâteau-Nguyen, Judith Aron-Wisnewsky, Jean-Luc Bouillot, Thomas Schindler, Karine Clément

Registry-linked trialOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02091323 (Effect of Modified Laparoscopic Roux-en-Y Gastric Bypass Surgery on Type 2 Diabetics With Lower Body Mass Index in China), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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.

NCT02091323 naunknown statusnot on this map

Effect of Modified Laparoscopic Roux-en-Y Gastric Bypass Surgery on Type 2 Diabetics With Lower Body Mass Index in China

TypeinterventionalSponsorGuangzhou General Hospital of Guangzhou Military CommandRan2014 to 2017Enrolled200ConditionsDiabetes Mellitus, Non-Insulin-DependentArmsgastric bypass surgery
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
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  6. Article
  7. Article
  8. Remission of Type 2 Diabetes Mellitus after Bariatric Surgery: Fact or Fiction?International journal of environmental research and public health · 2019
    Review
  9. Review
  10. DiaRem2: Incorporating duration of diabetes to improve prediction of diabetes remission after metabolic surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2019
    Article
  11. Article
  12. Article
  13. Article
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  17. Review
  18. 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

7 authors at 4 institutions in 2 countries.

Aurélie CotillardInstitute of Cardiometabolism and Nutrition, ICAN, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, 75013, Paris, France, aurelie.nutriomics@gmail.com.
Christine Poitou
Guillemette Duchâteau-Nguyen
Judith Aron-Wisnewsky
Jean-Luc Bouillot
Thomas Schindler
Karine Clément
Inserm · FRRoche (Switzerland) · CHAssistance Publique – Hôpitaux de Paris · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistical models and scores have been recently suggested to predict remission of type 2 diabetes after bypass surgery, but their relevance in routine clinical practice still needs evaluation. Our objective was to assess these methods on a French cohort and to compare them with other easy-to-use models.

methodsWe investigated a cohort of 84 diabetic obese subjects who underwent Roux-en-Y gastric bypass surgery. Diabetes remission 1 year after surgery was defined based on the American Diabetes Association criteria. We tested six methods from the literature and four other models to predict remission of diabetes after bypass surgery using pre-operative bioclinical parameters. Predictive methods for diabetes remission were assessed using cross-validation error rates when appropriate.

resultsSixty percent of the subjects had diabetes remission. Models from the literature had high error rates in our cohort (from 22.6 to 40.5 %), while published simple scoring systems behaved much better (15.9 and 16.7 %). Using other apprehensible models learned on our cohort did not improve the prediction error (from 17.2 to 19.9 %).

conclusionsWe showed that the scoring system DiaRem is easy to use and provides the best prediction error (15.9 %) compared to other methods. We additionally propose a DiaRem score threshold of ≤6 for likely remission of a subject 1 year after surgery, which may be considered in clinical decision-making.

Indexed as

Gastric BypassAdultAgedCohort StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObesity, MorbidPredictive Value of TestsPrognosisRemission InductionResearch Design

Identifiers

PMID25387683
OpenAlexW2035543629

What OpenQuestion holds

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Registered trials

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.