Evidence map›Paper›PMID 37559119›Full record

SynthesisBMC medicine2023

Perturbations in gut microbiota composition in patients with polycystic ovary syndrome: a systematic review and meta-analysis.

Pan Li, Ping Shuai, Sj Shen, Huimin Zheng, Ping Sun, Renfang Zhang, Shanwei Lan, Zixin Lan, Thisun Jayawardana, Yumei Yang and 5 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 pooled it
20.0field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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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

15 authors at 7 institutions in 2 countries.

Pan Li *Department of Obstetrics and Gynecology, The First People's Hospital of Foshan, No.81 Lingnan Avenue North, Chancheng District, Foshan, Guangdong Province, China.
Ping Shuai *Department of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Sj ShenUNSW Microbiome Research Centre, St George and Sutherland Clinical Campuses, UNSW Sydney, Clinical Sciences (WR Pitney) Building, Short St, Kogarah, NSW, 2217, Australia.
Huimin ZhengDepartment of Obstetrics and Gynecology, The First People's Hospital of Foshan, No.81 Lingnan Avenue North, Chancheng District, Foshan, Guangdong Province, China.
Ping SunDepartment of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Renfang ZhangDepartment of Obstetrics and Gynecology, The First People's Hospital of Foshan, No.81 Lingnan Avenue North, Chancheng District, Foshan, Guangdong Province, China.
Shanwei LanThe Second Clinical Medical College, Southern Medical University, Guangzhou, Guangdong Province, China.
Zixin LanThe Second Clinical Medical College, Southern Medical University, Guangzhou, Guangdong Province, China.
Thisun JayawardanaUNSW Microbiome Research Centre, St George and Sutherland Clinical Campuses, UNSW Sydney, Clinical Sciences (WR Pitney) Building, Short St, Kogarah, NSW, 2217, Australia.
Yumei YangDepartment of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Jianhui ZhaoDepartment of Big Data in Health Science School of Public Health, and Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, China.
Yuping LiuDepartment of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Xia ChenDepartment of Obstetrics and Gynecology, The First People's Hospital of Foshan, No.81 Lingnan Avenue North, Chancheng District, Foshan, Guangdong Province, China. 2676832333@qq.com.
Emad M El-OmarUNSW Microbiome Research Centre, St George and Sutherland Clinical Campuses, UNSW Sydney, Clinical Sciences (WR Pitney) Building, Short St, Kogarah, NSW, 2217, Australia. e.el-omar@unsw.edu.au.
Zhengwei WanDepartment of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. 18715799366@163.com.
First People's Hospital of Foshan · CNUniversity of Electronic Science and Technology of China · CNUNSW Sydney · AUChinese Academy of Sciences · CNSouthern Medical University · CNSutherland Hospital · AUZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe results of human observational studies on the correlation between gut microbiota perturbations and polycystic ovary syndrome (PCOS) have been contradictory. This study aimed to perform the first systematic review and meta-analysis to evaluate the specificity of the gut microbiota in PCOS patients compared to healthy women.

methodsLiterature through May 22, 2023, was searched on PubMed, Web of Science, Medline, Embase, Cochrane Library, and Wiley Online Library databases. Unreported data in diversity indices were filled by downloading and processing raw sequencing data. Systematic review inclusion: original studies were eligible if they applied an observational case-control design, performed gut microbiota analysis and reported diversity or abundance measures, sampled general pre-menopausal women with PCOS, and are longitudinal studies with baseline comparison between PCOS patients and healthy females. Systematic review exclusion: studies that conducted interventional or longitudinal comparisons in the absence of a control group. Two researchers made abstract, full-text, and data extraction decisions, independently. The Joanna Briggs Institute Critical Appraisal Checklist was used to assess the methodologic quality. Hedge's g standardized mean difference (SMD), confidence intervals (CIs), and heterogeneity (I

resultsTwenty-eight studies (n = 1022 patients, n = 928 control) that investigated gut microbiota by collecting stool samples were included, with 26 and 27 studies having provided alpha-diversity and beta-diversity results respectively. A significant decrease in microbial evenness and phylogenetic diversity was observed in PCOS patients when compared with control participants (Shannon index: SMD = - 0.27; 95% CI, - 0.37 to - 0.16; phylogenetic diversity: SMD = - 0.39; 95% CI, -- 0.74 to - 0.03). We also found that reported beta-diversity was inconsistent between studies. Despite heterogeneity in bacterial relative abundance, we observed depletion of Lachnospira and Prevotella and enrichment of Bacteroides, Parabacteroides, Lactobacillus, Fusobacterium, and Escherichia/Shigella in PCOS. Gut dysbiosis in PCOS, which might be characterized by the reduction of short-chain fatty acid (SCFA)-producing and bile-acid-metabolizing bacteria, suggests a shift in balance to favor pro-inflammatory rather than anti-inflammatory bacteria.

conclusionsGut dysbiosis in PCOS is associated with decreased diversity and alterations in bacteria involved in microbiota-host crosstalk.

trial registrationPROSPERO registration: CRD42021285206, May 22, 2023.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaPolycystic Ovary SyndromeDysbiosisFemaleHumansPhylogenyGut dysbiosisGut microbiomeMeta-analysisPolycystic ovary syndrome

Identifiers

PMID37559119
PMCPMC10413517
OpenAlexW4385698293

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.