Evidence map›Paper›PMID 35148818›Full record

ArticleThe lancet. Diabetes & endocrinology2022

Data-driven subgroups of type 2 diabetes, metabolic response, and renal risk profile after bariatric surgery: a retrospective cohort study.

Violeta Raverdy, Ricardo V Cohen, Robert Caiazzo, Helene Verkindt, Tarissa Beatrice Zanata Petry, Camille Marciniak, Benjamin Legendre, Pierre Bauvin, Estelle Chatelain, Alain Duhamel and 10 more

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Article in The lancet. Diabetes & endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.6field-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

28 citing papers in PubMed, 59 citations in OpenAlex.

  1. Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions.The Journal of clinical endocrinology and metabolism · 2025 · on this map
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 9 institutions in 5 countries.

Violeta RaverdyUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France.
Ricardo V CohenThe Center for the Treatment of Obesity and Diabetes, Oswaldo Cruz German Hospital, São Paulo, Brazil.
Robert CaiazzoUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Helene VerkindtUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Tarissa Beatrice Zanata PetryThe Center for the Treatment of Obesity and Diabetes, Oswaldo Cruz German Hospital, São Paulo, Brazil.
Camille MarciniakUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Benjamin LegendreUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France.
Pierre BauvinUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France.
Estelle ChatelainUniversity Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UMS 2014-PLBS, Bilille, Lille, France.
Alain DuhamelCHU Lille, University Lille, ULR 2694-METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.
Elodie DrumezCHU Lille, University Lille, ULR 2694-METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.
Naima Oukhouya-DaoudUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Mikael ChetbounUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Gregory BaudUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France.
Emma AhlqvistLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Niels WierupLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Olof AsplundLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.
Blandine LaferrèreDiabetes Research Center, Division of Endocrinology, Department of Medicine, Columbia University, New York City, NY, USA.
Leif GroopLund University Diabetes Centre, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden; Institute for Molecular Medicine Finland, Helsinki University, Helsinki, Finland.
FranÇois PattouUniversity Lille, INSERM, CHU Lille, Institut Pasteur de Lille, UMR 1190 Translational Research for Diabetes, European Genomic Institute for Diabetes, Lille, France; CHU Lille, Integrated Center for Obesity, General and Endocrine Surgery, Lille, France. Electronic address: francois.pattou@univ-lille.fr.
Centre Hospitalier Universitaire de Lille · FREuropean Genomic Institute for Diabetes · FRInserm · FRHospital Alemão Oswaldo Cruz · BRLund University · SESkåne University Hospital · SEColumbia University · USEvaluation des technologies de santé et des pratiques médicalesInstitut Pasteur de Lille · FR

Funding

Mechanisms of Diabetes Control After Weight Loss SurgeryR01DK067561 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI LAFERRERE, BLANDINE B · 2005 to 2013
$3.1M
Long term change of GLP-1 insulinotropic effect after GBP surgeryR01DK098056 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LAFERRERE, BLANDINE B · 2014 to 2017
$1.9M
Metabolomic Biomarkers Predictors of Long-term Success Following Bariatric surgeryR01DK108580 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LAFERRERE, BLANDINE B · 2015 to 2018
$1.9M
NIDDK NIH HHS R01 DK067561NIDDK NIH HHS R01 DK098056NIDDK NIH HHS R01 DK108580
6 · The paper itself

Abstract

backgroundA novel data-driven classification of type 2 diabetes has been proposed to personalise anti-diabetic treatment according to phenotype. One subgroup, severe insulin-resistant diabetes (SIRD), is characterised by mild hyperglycaemia but marked hyperinsulinaemia, and presents an increased risk of diabetic nephropathy. We hypothesised that patients with SIRD could particularly benefit from metabolic surgery.

methodsWe retrospectively related the newly defined clusters with the response to metabolic surgery in participants with type 2 diabetes from independent cohorts in France (the Atlas Biologique de l'Obésite Sévère [ABOS] cohort, n=368; participants underwent Roux-en-Y gastric bypass or sleeve gastrectomy between Jan 1, 2006, and Dec 12, 2017) and Brazil (the metabolic surgery cohort of the German Hospital of San Paulo, n=121; participants underwent Roux-en-Y gastric bypass between April 1, 2008, and March 20, 2016). The study outcomes were type 2 diabetes remission and improvement of estimated glomerular filtration rate (eGFR).

findingsAt baseline, 34 (9%) of 368 patients, 314 (85%) of 368 patients, and 17 (5%) of 368 patients were classified as having SIRD, mild obesity-related diabetes (MOD), and severe insulin deficient diabetes (SIDD) in the ABOS cohort, respectively, and in the São Paulo cohort, ten (8%) of 121 patients, 83 (69%) of 121 patients, and 25 (21%) of 121 patients were classified as having SIRD, MOD, and SIDD, respectively. At 1 year, type 2 diabetes remission was reported in 26 (81%) of 32 and nine (90%) of ten patients with SIRD, 167 (55%) of 306 and 42 (51%) of 83 patients with MOD, and two (13%) of 16 and nine (36%) of 25 patients with SIDD, in the ABOS and São Paulo cohorts, respectively. The mean eGFR was lower in patients with SIRD at baseline and increased postoperatively in these patients in both cohorts. In multivariable analysis, SIRD was associated with more frequent type 2 diabetes remission (odds ratio 4·3, 95% CI 1·8-11·2; p=0·0015), and an increase in eGFR (mean effect size 13·1 ml/min per 1·73 m

interpretationPatients in the SIRD subgroup had better outcomes after metabolic surgery, both in terms of type 2 diabetes remission and renal function, with no additional surgical risk. Data-driven classification might help to refine the indications for metabolic surgery.

fundingAgence Nationale de la Recherche, Investissement d'Avenir, Innovative Medecines Initiative, Fondation Cœur et Artères, and Fondation Francophone pour la Recherche sur le Diabète.

Indexed as

Bariatric SurgeryDiabetes Mellitus, Type 2Gastric BypassInsulin ResistanceObesity, MorbidBrazilCohort StudiesHumansInsulinRetrospective StudiesTreatment OutcomeInsulin

Identifiers

PMID35148818
OpenAlexW4210915694

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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.