Evidence map›Paper›PMID 35372123›Full record

Observational studyFrontiers in cellular and infection microbiology2022

Association Between Gut Dysbiosis and Sepsis-Induced Myocardial Dysfunction in Patients With Sepsis or Septic Shock.

Yu Chen, Fu Zhang, Xin Ye, Jing-Juan Hu, Xiao Yang, Lin Yao, Bing-Cheng Zhao, Fan Deng, Ke-Xuan Liu

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05498948 (Probiotic Mixture Supplementation), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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.

NCT05498948 nacompletednot on this map

Probiotic Mixture Supplementation (PMS) Promotes the Recovery of Patients After Heart Valve Replacement by Preventing Acute Gastrointestinal Injury (AGI)

TypeinterventionalSponsorHepatopancreatobiliary Surgery Institute of Gansu ProvinceRan2022 to 2024Enrolled52ConditionsHeart Valve DiseasesArmsProbiotic mixture
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. iScience · 2024
    Article
  6. Article
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
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  14. 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

9 authors at 3 institutions in 1 country.

Yu ChenDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fu ZhangDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xin YeDepartment of Anesthesiology, Fujian Provincial Clinical Medical College, Fujian Medical University, Fuzhou, China.
Jing-Juan HuDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiao YangDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lin YaoDepartment of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Bing-Cheng ZhaoDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fan DengDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ke-Xuan LiuDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNNanfang Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sepsis-induced myocardial dysfunction (SIMD) seriously affects the evolution and prognosis of the sepsis patient. The gut microbiota has been confirmed to play an important role in sepsis or cardiovascular diseases, but the changes and roles of the gut microbiota in SIMD have not been reported yet. This study aims to assess the compositions of the gut microbiota in sepsis or septic patients with or without myocardial injury and to find the relationship between the gut microbiota and SIMD. Methods: The prospective, observational, and 1:1 matched case-control study was conducted to observe gut microbiota profiles from patients with SIMD (n = 18) and matched non-SIMD (NSIMD) patients (n = 18) by 16S rRNA gene sequencing. Then the relationship between the relative abundance of microbial taxa and clinical indicators and clinical outcomes related to SIMD was analyzed. The receiver operating characteristic (ROC) curves were used to evaluate the predictive efficiencies of the varied gut microbiota to SIMD. Results: SIMD was associated with poor outcomes in sepsis patients. The beta-diversity of the gut microbiota was significantly different between the SIMD patients and NSIMD subjects. The gut microbiota profiles in different levels significantly differed between the two groups. Additionally, the abundance of some microbes ( Conclusion: Our study indicates that SIMD patients may have a particular gut microbiota signature and that the gut microbiota might be a potential diagnostic marker for evaluating the risk of developing SIMD.

Indexed as

SepsisShock, SepticCase-Control StudiesDysbiosisHumansProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16Sgut microbiotaintensive care unitKlebsiella variicolasepsissepsis-induced myocardial dysfunction

Identifiers

PMID35372123
PMCPMC8964439
OpenAlexW4220992854

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.