Evidence map›Paper›PMID 41331216›Full record

ReviewObesity surgery2026

The Role of Roux-en-Y Gastric Bypass and Sleeve Gastrectomy in Improving Type 2 Diabetes Through Modulation of Gut Microbiota and Metabolites.

Zhi-Ming Wang, Cheng-Jun He, Jie Hou, Si-Qi Zhang, Hong-Bin Zhang, Liang-Ping Wu

Abstract readReview
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In one paragraph

Review in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

6 authors.

Zhi-Ming WangJinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Cheng-Jun HeJinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jie HouJinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Si-Qi ZhangJinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Hong-Bin ZhangDepartment of Basic Medical Research, General Hospital of Southern Theater Command of PLA, Guangzhou, China. zhangwater@hotmail.com.
Liang-Ping WuJinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. drwulp@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rising incidence of type 2 diabetes mellitus (T2DM) worldwide, the search for effective treatments has become an important direction of contemporary medical research. Bariatric metabolic surgery, as a new therapeutic approach, has made remarkable progress in improving T2DM in recent years. In this paper, we collected studies on the mechanisms by which metabolic surgery improves T2DM by altering the intestinal flora and its metabolites in the last 5 years, and systematically analysed the effects of different weight loss surgeries, such as gastric bypass and sleeve gastrectomy, on the composition of the intestinal flora. Then, the changes in the metabolites of the flora triggered by these surgeries and the possible downstream molecular mechanisms were explored. Although it has been revealed that the intestinal flora is altered by bacterial genera after metabolic surgery, the downstream mechanisms remain unclear. The aim of this review is to provide a new perspective for a deeper understanding of the microbiological mechanisms of metabolic surgery for T2DM and to provide a theoretical basis for future microbiome-based therapeutic strategies.

Indexed as

Diabetes Mellitus, Type 2GastrectomyGastric BypassGastrointestinal MicrobiomeObesity, MorbidHumansWeight LossFlora metabolitesGut floraMetabolic surgeryMicrobiome-host interactionsType 2 diabetes mellitus

Identifiers

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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.