Evidence map›Paper›PMID 24579062›Full record

ArticleThe lancet. Diabetes & endocrinology2014

Preoperative prediction of type 2 diabetes remission after Roux-en-Y gastric bypass surgery: a retrospective cohort study.

Christopher D Still, G Craig Wood, Peter Benotti, Anthony T Petrick, Jon Gabrielsen, William E Strodel, Anna Ibele, Jamie Seiler, Brian A Irving, Melisa P Celaya and 3 more

Abstract read
In one paragraph

Article in The lancet. Diabetes & endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 9 pooled it
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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

192 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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132 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Christopher D Still
G Craig Wood
Peter Benotti
Anthony T Petrick
Jon Gabrielsen
William E Strodel
Anna Ibele
Jamie Seiler
Brian A Irving
Melisa P Celaya
Robin Blackstone
Glenn S Gerhard
George Argyropoulos

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Genetic determinants of NAFLD severity and progressionR01DK091601 · NIDDK · TRANSLATIONAL GENOMICS RESEARCH INST · PI DISTEFANO, JOHANNA K, GERHARD, GLENN S · 2011 to 2015
$2.9M
Genetic Determinants of Weight Loss and Resolution of Co-MorbiditiesR01DK088231 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI GERHARD, GLENN S · 2011 to 2015
$2.5M
NIDDK NIH HHS DK072488NIDDK NIH HHS DK088231NIDDK NIH HHS DK091601NIDDK NIH HHS P30 DK072488NIDDK NIH HHS R01 DK088231NIDDK NIH HHS R01 DK091601
6 · The paper itself

Abstract

backgroundAbout 60% of patients with type 2 diabetes achieve remission after Roux-en-Y gastric bypass (RYGB) surgery. No accurate method is available to preoperatively predict the probability of remission. Our goal was to develop a way to predict probability of diabetes remission after RYGB surgery on the basis of preoperative clinical criteria.

methodsIn a retrospective cohort study, we identified individuals with type 2 diabetes for whom electronic medical records were available from a primary cohort of 2300 patients who underwent RYGB surgery at the Geisinger Health System (Danville, PA, USA) between Jan 1, 2004, and Feb 15, 2011. Partial and complete remission were defined according to the American Diabetes Association criteria. We examined 259 clinical variables for our algorithm and used multiple logistic regression models to identify independent predictors of early remission (beginning within first 2 months after surgery and lasting at least 12 months) or late remission (beginning more than 2 months after surgery and lasting at least 12 months). We assessed a final Cox regression model with a consistent subset of variables that predicted remission, and used the resulting hazard ratios (HRs) to guide creation of a weighting system to produce a score (DiaRem) to predict probability of diabetes remission within 5 years. We assessed the validity of the DiaRem score with data from two additional cohorts.

findingsElectronic medical records were available for 690 patients in the primary cohort, of whom 463 (63%) had achieved partial or complete remission. Four preoperative clinical variables were included in the final Cox regression model: insulin use, age, HbA1c concentration, and type of antidiabetic drugs. We developed a DiaRem score that ranges from 0 to 22, with the greatest weight given to insulin use before surgery (adding ten to the score; HR 5·90, 95% CI 4·41–7·90; p<0·0001). Kaplan-Meier analysis showed that 88% (95% CI 83–92%) of patients who scored 0–2, 64% (58–71%) of those who scored 3–7, 23% (13–33%) of those who scored 8–12, 11% (6–16%) of those who scored 13–17, and 2% (0–5%) of those who scored 18–22 achieved early remission (partial or complete). As in the primary cohort, the proportion of patients achieving remission in the replication cohorts was highest for the lowest scores, and lowest for the highest scores.

interpretationThe DiaRem score is a novel preoperative method to predict the probability of remission of type 2 diabetes after RYGB surgery.

fundingGeisinger Health System and the US National Institutes of Health.

Indexed as

Gastric BypassAdultDiabetes Mellitus, Type 2FemaleForecastingGlycated HemoglobinHumansKaplan-Meier EstimateMaleMiddle AgedRegression AnalysisRetrospective StudiesTreatment OutcomeGlycated Hemoglobin

Identifiers

PMID24579062
PMCPMC3932625

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.