Evidence map›Paper›PMID 37078497›Full record

ArticleGut microbes

Gut microbiota in COVID-19: new insights from inside.

Bingqian Zhou, Xiaoqi Pang, Jingyi Wu, Tianyu Liu, Bangmao Wang, Hailong Cao

Open access · goldAbstract read
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Frontiers in immunology · 2026
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  9. Microbiota and Immunity during Respiratory Infections: Lung and Gut Affair.International journal of molecular sciences · 2024
    Review
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  15. Research (Washington, D.C.) · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Bingqian ZhouDepartment of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China.
Xiaoqi PangDepartment of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China.
Jingyi WuDepartment of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China.
Tianyu Liu
Bangmao Wang
Hailong CaoDepartment of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, National Key Clinical Specialty, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China.ORCID 0000-0002-0147-7826
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of coronavirus disease-19 (COVID-19) has grown to be a global health threat. Gastrointestinal symptoms are thought to be common clinical manifestations apart from a series of originally found respiratory symptoms. The human gut harbors trillions of microorganisms that are indispensable for complex physiological processes and homeostasis. Growing evidence demonstrate that gut microbiota alteration is associated with COVID-19 progress and severity, and post-COVID-19 syndrome, characterized by decrease of anti-inflammatory bacteria like

Indexed as

COVID-19Gastrointestinal MicrobiomeProbioticsHumansPost-Acute COVID-19 SyndromePrebioticsPrebioticsCOVID-19fecal microbiota transplantationgut microbiotamicrobiota-gut-lung axisprobiotics

Identifiers

PMID37078497
PMCPMC10120564
OpenAlexW4366597726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.