Evidence map›Paper›PMID 34300286›Full record

ReviewJournal of clinical medicine2021

The Types and Proportions of Commensal Microbiota Have a Predictive Value in Coronary Heart Disease.

Lin Chen, Tomoaki Ishigami, Hiroshi Doi, Kentaro Arakawa, Kouichi Tamura

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Multi-omics analysis identifiesFrontiers in microbiology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Microbiota: Not Just a Gut Feeling.Journal of clinical medicine · 2022
    Article
  11. Analysis of Gut Microbiota in Patients with Coronary Artery Disease and Hypertension.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  12. 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

5 authors.

Lin ChenDepartment of Medical Science and Cardio-Renal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa 236-0027, Japan.ORCID 0000-0001-8639-655X
Tomoaki IshigamiDepartment of Medical Science and Cardio-Renal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa 236-0027, Japan.
Hiroshi DoiDepartment of Medical Science and Cardio-Renal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa 236-0027, Japan.
Kentaro ArakawaDepartment of Medical Science and Cardio-Renal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa 236-0027, Japan.
Kouichi TamuraDepartment of Medical Science and Cardio-Renal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa 236-0027, Japan.

Funding

Grants-in-Aid for Scientific Research 20K08478Japan Society for the Promotion of Science 20K08595
6 · The paper itself

Abstract

Previous clinical studies have suggested that commensal microbiota play an important role in atherosclerotic cardiovascular disease; however, a synthetic analysis of coronary heart disease (CHD) has yet to be performed. Therefore, we aimed to investigate the specific types of commensal microbiota associated with CHD by performing a systematic review of prospective observational studies that have assessed associations between commensal microbiota and CHD. Of the 544 published articles identified in the initial search, 16 publications with data from 16 cohort studies (2210 patients) were included in the analysis. The combined data showed that Bacteroides and Prevotella were commonly identified among nine articles (

Indexed as

commensal microbiotacoronary heart diseasesystematic review

Identifiers

PMID34300286
PMCPMC8303676

What OpenQuestion holds

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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 OpenQuestion graph.