Evidence mapPaperPMID 33568372Full record

ArticleBMJ open2021

Who will benefit from bariatric surgery for diabetes? A protocol for an observational cohort study.

Julia S Kenkre, Ahmed R Ahmed, Sanjay Purkayastha, Khalefah Malallah, Stephen Bloom, Alexandra I Blakemore, A Toby Prevost, Tricia Tan

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03842475 (Who Will Benefit From Bariatric Surgery for Diabetes? Using Fat Distribution Measurement, Gut Hormone Profiles and Genetic Data to Predict Diabetes Remission), which is not on this map. Not yet cited in PubMed.

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

NCT03842475 recruitingnot on this map

Who Will Benefit From Bariatric Surgery for Diabetes? Using Fat Distribution Measurement, Gut Hormone Profiles and Genetic Data to Predict Diabetes Remission

TypeobservationalSponsorImperial College LondonRan2018 to 2028Enrolled210ConditionsDiabetes Mellitus, Type 2, ObesityArmsRoux-en-Y gastric bypass (RYGB)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Julia S KenkreDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID 0000-0001-7505-4319
Ahmed R AhmedDepartment of Surgery and Cancer, Imperial College London, London, UK.
Sanjay PurkayasthaDepartment of Surgery and Cancer, Imperial College London, London, UK.
Khalefah MalallahDepartment of Surgery and Cancer, Imperial College London, London, UK.
Stephen BloomDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Alexandra I BlakemoreDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
A Toby PrevostNightingale-Saunders Clinical Trials and Epidemiology Unit, King's Clinical Trials Unit, King's College London, London, UK.
Tricia TanDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK t.tan@imperial.ac.uk.ORCID 0000-0001-5873-3432

Funding

Department of Health DRF-2017-10-042Medical Research Council MR/K02115X/1
6 · The paper itself

Abstract

introductionType 2 diabetes mellitus (T2DM) and obesity are pandemic diseases that lead to a great deal of morbidity and mortality. The most effective treatment for obesity and T2DM is bariatric or metabolic surgery; it can lead to long-term diabetes remission with 4 in 10 of those undergoing surgery having normal blood glucose on no medication 1 year postoperatively. However, surgery carries risks and, additionally, due to resource limitations, there is a restricted number of patients who can access this treatment. Moreover, not all those who undertake surgery respond equally well metabolically. The objective of the current research is to prospectively investigate predictors of T2DM response following metabolic surgery, including those directly involved in its aetiopathogenesis such as fat distribution and genetic variants. This will inform development of a clinically applicable model to help prioritise this therapy to those predicted to have remission. METHODS AND ANALYSIS: A prospective multicentre observational cohort study of adult patients with T2DM and obesity undergoing Roux-en-Y gastric bypass surgery. Patients will be comprehensively assessed before surgery to determine their clinical, metabolic, psychological, genetic and fat distribution profiles. A multivariate logistic regression model will be used to assess the value of the factors derived from the preoperative assessment in terms of prediction of diabetes remission. ETHICS AND DISSEMINATION: Formal ethics review was undertaken with a favourable opinion (UK HRA RES reference number 18/LO/0931). The dissemination plan is to present the results at conferences, in peer-reviewed journals as well as to lay media and to patient organisations. TRIAL REGISTRATION DETAILS: ClinicalTrials.gov, Identifier: NCT03842475.

Indexed as

Bariatric SurgeryDiabetes Mellitus, Type 2Gastric BypassObesity, MorbidAdultHumansObesityObservational Studies as TopicProspective StudiesRemission InductionTreatment Outcomeadult surgerygeneral diabetesnutrition & dietetics

Identifiers

PMID33568372
PMCPMC7878155

What Socratic 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 Socratic graph.