Evidence map›Paper›PMID 35889949›Full record

SynthesisNutrients2022

Gut Microbiota Characteristics of People with Obesity by Meta-Analysis of Existing Datasets.

Jinhua Gong, Yun Shen, Hongcheng Zhang, Man Cao, Muyun Guo, Jianquan He, Bangzhou Zhang, Chuanxing Xiao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  5. Interaction of physical activity and gut-brain axis: relevance for obesity.Reviews in endocrine & metabolic disorders · 2026
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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

8 authors at 4 institutions in 1 country.

Jinhua GongSchool of Medicine, Xiamen University, Xiamen 361102, China.ORCID 0000-0001-8560-3182
Yun ShenSport Hospital Attached of ChengDu Sport University, Chengdu 610041, China.
Hongcheng ZhangXiamen Treatgut Biotechnology Co., Ltd., Xiamen 361101, China.
Man CaoXiamen Treatgut Biotechnology Co., Ltd., Xiamen 361101, China.
Muyun GuoPulmonary and Critical Care Medicine, Anyang District Hospital, Anyang 456000, China.
Jianquan HeCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Bangzhou ZhangSchool of Medicine, Xiamen University, Xiamen 361102, China.
Chuanxing XiaoSchool of Medicine, Xiamen University, Xiamen 361102, China.
Fujian University of Traditional Chinese Medicine · CNAnyang Tumor Hospital · CNChengdu Sport University · CNXiamen University · CN

Funding

National Natural Science Foundation of China 82004433Science Foundation of Fujian Province in China 2021J011327
6 · The paper itself

Abstract

Obesity is a complex chronic, relapsing, progressive disease. Association studies have linked microbiome alterations with obesity and overweight. However, the results are not always consistent. An integrated analysis of 4282 fecal samples (2236 control (normal weight) group, 1152 overweight, and 894 simple obesity) was performed to identify obesity-associated microbial markers. Based on a random effects model and a fixed effects model, we calculated the odds ratios of the metrics, including bacterial alpha-diversity, beta-diversity, Bacteroidetes/Firmicutes ratio, common genera, and common pathways, between the simple obesity and control groups as well as the overweight and control groups. The random forest model was trained based on a single dataset at the genus level. Feature selection based on feature importance ranked by mean decrease accuracy and leave-one-out cross-validation was conducted to improve the predictive performance of the models. Chao1 and evenness possessed significant ORs higher than 1.0 between the obesity and control groups. Significant bacterial community differences were observed between the simple obesity and the control. The ratio of Bacteroidetes/Firmicutes was significantly higher in simple obesity patients. The relative abundance of

Indexed as

Gastrointestinal MicrobiomeBacteriaBiomarkersFecesHumansObesityOverweightRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16S16S rRNABMIgut microbiotahumansmeta-analysisobesity

Identifiers

PMID35889949
PMCPMC9325184
OpenAlexW4286433511

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.