Evidence map›Paper›PMID 23033249›Full record

ArticleDiabetes care2013

Predicting the glycemic response to gastric bypass surgery in patients with type 2 diabetes.

John B Dixon, Lee-Ming Chuang, Keong Chong, Shu-Chun Chen, Gavin W Lambert, Nora E Straznicky, Elisabeth A Lambert, Wei-Jei Lee

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
26.7field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 1 synthesis or guideline pooled it, 199 citations in OpenAlex.

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  8. Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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43 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

John B DixonBaker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Lee-Ming Chuang
Keong Chong
Shu-Chun Chen
Gavin W Lambert
Nora E Straznicky
Elisabeth A Lambert
Wei-Jei Lee
Baker Heart and Diabetes Institute · AUMin Sheng General Hospital · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo find clinically meaningful preoperative predictors of diabetes remission and conversely inadequate glycemic control after gastric bypass surgery. Predicting the improvement in glycemic control in those with type 2 diabetes after bariatric surgery may help in patient selection. RESEARCH DESIGN AND

methodsPreoperative details of 154 ethnic Chinese subjects with type 2 diabetes were examined for their influence on glycemic outcomes at 1 year after gastric bypass. Remission was defined as HbA(1c) ≤6%. Analysis involved binary logistic regression to identify predictors and provide regression equations and receiver operating characteristic curves to determine clinically useful cutoff values.

resultsRemission was achieved in 107 subjects (69.5%) at 12 months. Diabetes duration <4 years, body mass >35 kg/m(2), and fasting C-peptide concentration >2.9 ng/mL provided three independent preoperative predictors and three clinically useful cutoffs. The regression equation classification plot derived from continuous data correctly assigned 84% of participants. A combination of two or three of these predictors allows a sensitivity of 82% and specificity of 87% for remission. Duration of diabetes (with different cutoff points) and C-peptide also predicted those cases in which HbA(1c) ≤7% was not attained. Percentage weight loss after surgery was also predictive of remission and of less satisfactory outcomes.

conclusionsThe glycemic response to gastric bypass is related to BMI, duration of diabetes, fasting C-peptide (influenced by insulin resistance and residual β-cell function), and weight loss. These data support and refine previous findings in non-Asian populations. Specific ethnic and procedural regression equations and cutoff points may vary.

Indexed as

Gastric BypassAdolescentAdultAgedAspartate AminotransferasesBlood GlucoseCholesterol, HDLC-Reactive ProteinDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansLongitudinal StudiesMaleMiddle AgedTriglyceridesAspartate AminotransferasesBlood GlucoseCholesterol, HDLC-Reactive ProteinGlycated HemoglobinTriglyceridesUric Acid

Identifiers

PMID23033249
PMCPMC3526207
OpenAlexW2142114342

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.