Evidence map›Paper›PMID 35573786›Full record

ReviewFrontiers in cellular and infection microbiology2022

Mechanisms by Which Traditional Chinese Medicines Influence the Intestinal Flora and Intestinal Barrier.

Qingya Che, Tingting Luo, Junhua Shi, Yihuai He, De-Lin Xu

Open access · goldAbstract readReview
In one paragraph

Review 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. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
7.6field-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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Qingya CheDepartment of Medical Cell Biology, Zunyi Medical University, Zunyi, China.
Tingting LuoDepartment of Medical Cell Biology, Zunyi Medical University, Zunyi, China.
Junhua ShiDepartment of Infectious Diseases, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yihuai HeDepartment of Infectious Diseases, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
De-Lin XuDepartment of Medical Cell Biology, Zunyi Medical University, Zunyi, China.
Zunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of a drug on the intestinal flora and the intestinal barrier is an important evaluation index for drug safety and efficacy. Chemical synthetic drugs are widely used due to their advantages of fast efficacy and low doses, but they are prone to cause drug resistance and inhibit proton pumps, which may harm intestinal health. Traditional Chinese medicine (TCM) has been applied clinically for thousands of years, and how TCMs regulate intestinal health to achieve their effects of disease treatment has become a hot research topic that needs to be resolved. This paper reviews the recent research on the effects of TCMs on intestinal microorganisms and the intestinal mucosal barrier after entering the intestine, discusses the interaction mechanisms between TCMs and intestinal flora, and details the repair effect of TCMs on the intestinal mucosal barrier to provide a reference for the development, utilization, and modernization of TCM.

Indexed as

Drugs, Chinese HerbalGastrointestinal MicrobiomeChinaIntestinesMedicine, Chinese TraditionalDrugs, Chinese Herbaleffect mechanismintestinal floraintestinal mucosal barrierreviewtraditional Chinese medicine

Identifiers

PMID35573786
PMCPMC9097517
OpenAlexW4285744281

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.