Evidence map›Paper›PMID 39394090›Full record

ArticleBMC gastroenterology2024

Bacterial and clinical metabolic signatures and their interactions in obese patients post-bariatric surgery.

Mengjie Hu, Qiaoyuan Xiang, Zixuan Mei, Cheng Gong, Dingyu Pan, Yumin Liu, Zhen Li

Abstract read
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Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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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

6 citing papers in PubMed.

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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

7 authors.

Mengjie Hu *Department of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
Qiaoyuan Xiang *Neurology Department, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
Zixuan MeiDepartment of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
Cheng GongDepartment of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
Dingyu PanDepartment of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
Yumin LiuNeurology Department, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China. wb001792@whu.edu.cn.
Zhen LiDepartment of Hepatobiliary & Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China. lizhen10220@znhospital.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a growing health concern in China, closely linked to metabolic disorders such as type 2 diabetes. Laparoscopic Sleeve Gastrectomy (LSG) is effective in promoting weight loss and improving metabolic outcomes. Emerging evidence highlights the role of gut microbiota in metabolic regulation, yet the specific alterations in gut microbiota and their association with metabolic changes post-surgery in Chinese patients remain unclear. Understanding these shifts could provide key insights into optimizing treatment strategies for metabolic improvement following bariatric surgery.

methodsStool samples and clinical data were collected from 30 obese patients before and 6 months after surgery. The composition of the gut microbiota was analyzed through 16S rRNA sequencing, and Spearman correlation analysis was used to determine the association between gut microbiota and clinical indicators.

resultsThe analysis of 30 patients showed a significant decrease in Body Mass Index (BMI) (36.75 ± 4.09 kg/m

conclusionLSG not only significantly reduces body weight while also alleviating metabolic syndrome and comorbidities by altering gut microbiota.

Indexed as

Bariatric SurgeryFecesGastrectomyGastrointestinal MicrobiomeAdultBlood GlucoseBody Mass IndexChinaFemaleGlycated HemoglobinHumansLaparoscopyLipidsMaleMiddle AgedObesityBlood GlucoseGlycated HemoglobinLipidsRNA, Ribosomal, 16S16S rRNA analysisGut microbiotaLaparoscopic Sleeve GastrectomyObesity

Identifiers

PMID39394090
PMCPMC11470734

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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.