Evidence map›Paper›PMID 38933024›Full record

ArticleFrontiers in microbiology2024

Causal relationship between gut microbiota and puerperal sepsis: a 2-sample Mendelian randomization study.

Liu-Dan Liang, Sheng Li, Mei-Jin Huang, Hui-Xin Peng, Zi-Jun Lu, Zhuo-Hua Zhang, Li-Ye Su, Suren R Sooranna, Yan Liu, Zhao-He Huang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Liu-Dan LiangDepartment of Cardiology, The First Clinical Medical College of Jinan University, Guangzhou, China.
Sheng LiDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Mei-Jin HuangDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Hui-Xin PengDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zi-Jun LuDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zhuo-Hua ZhangDepartment of Cardiology, The First Clinical Medical College of Jinan University, Guangzhou, China.
Li-Ye SuDepartment of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Suren R SoorannaLife Science and Clinical Research Center, Youjiang Medical University for Nationalities, Baise, China.
Yan Liu *Department of Cardiology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Zhao-He Huang *Department of Cardiology, The First Clinical Medical College of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Some recent observational studies have shown that gut microbiota composition is associated with puerperal sepsis (PS) and no causal effect have been attributed to this. The aim of this study was to determine a causal association between gut microbiota and PS by using a two-sample Mendelian randomization (MR) analysis. Methods: This study performed MR analysis on the publicly accessible genome-wide association study (GWAS) summary level data in order to explore the causal effects between gut microbiota and PS. Gut microbiota GWAS ( Results: Our study found 3 species of gut microbiota, Conclusion: This two-sample MR study firstly found suggestive evidence of beneficial and detrimental causal associations of gut microbiota on the risk of PS. This may provide valuable insights into the pathogenesis of microbiota-mediated PS and potential strategies for its prevention and treatment.

Indexed as

causal relationshipgut microbiotaLachnospiraceaeMendelian randomizationpuerperal sepsisRuminococcaceae

Identifiers

PMID38933024
PMCPMC11203603

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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.