Evidence map›Paper›PMID 36425472›Full record

Observational studyFrontiers in endocrinology2022

The predictive value of trunk/leg fat ratio for type 2 diabetes mellitus remission after bariatric surgery: A new observation and insight.

Beibei Cui, Weizheng Li, Guohui Wang, Pengzhou Li, Liyong Zhu, Shaihong Zhu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Beibei CuiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.
Weizheng LiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.
Guohui WangDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.
Pengzhou LiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.
Liyong ZhuDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.
Shaihong ZhuDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence supported the significant role of body composition and fat distribution in the etiology and pathogenesis of Type 2 diabetes mellitus (T2DM). Objective: To assess the predictive value of representative parameters of body composition and fat distribution for T2DM remission after bariatric surgery. Methods: A total of 72 patients with T2DM who underwent bariatric surgery in our center between September 2010 and December 2018 were included in this retrospective observational study. Diabetes remission was defined according to the American Diabetes Association criteria released in 2021. Body fat percentage, skeletal muscle index, Android/Gynoid ratio and trunk/leg fat ratio were derived from dual-energy X-ray absorptiometry and assessed. Results: A total of 40 patients (56%) achieved remission among 72 patients. Patients in the remission group had higher body fat percentage and lower trunk/leg fat ratio than those in the non-remission group. The area under the receiver operating characteristic curve (AUC) for predicting T2DM remission was higher for trunk/leg fat ratio (0.784), compared to BMI (AUC 0. 0.690) and body fat percentage (AUC 0.688). The prediction model (AUC 0.883) including age, duration of T2DM, and trunk/leg fat ratio performed better than the ABCD score (AUC 0.809) and the DiaRem score (AUC 0.792). A nonlinear relationship was observed between trunk/leg fat ratio and BMI. Conclusion: Trunk/leg fat ratio is a promising predictor for T2DM remission after bariatric surgery.

Indexed as

Bariatric SurgeryDiabetes Mellitus, Type 2Absorptiometry, PhotonBody CompositionHumansLegbariatric surgerybody fat distributiondiabetes remissionpredictortrunk/leg fat ratiotype 2 diabetes mellitus

Identifiers

PMID36425472
PMCPMC9679006

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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.