Evidence map›Paper›PMID 32843932›Full record

ReviewWorld journal of diabetes2020

Gut microbiota and diabetes: From correlation to causality and mechanism.

Wei-Zheng Li, Kyle Stirling, Jun-Jie Yang, Lei Zhang

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
–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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. bioRxiv : the preprint server for biology · 2025
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35 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

4 authors.

Wei-Zheng LiMicrobiome-X, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China.
Kyle StirlingLuddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408, United States.
Jun-Jie YangCollege of Life Science, Qilu Normal University, Jinan 250000, Shandong Province, China.
Lei ZhangMicrobiome-X, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, we summarize the recent microbiome studies related to diabetes disease and discuss the key findings that show the early emerging potential causal roles for diabetes. On a global scale, diabetes causes a significant negative impact to the health status of human populations. This review covers type 1 diabetes and type 2 diabetes. We examine promising studies which lead to a better understanding of the potential mechanism of microbiota in diabetes diseases. It appears that the human oral and gut microbiota are deeply interdigitated with diabetes. It is that simple. Recent studies of the human microbiome are capturing the attention of scientists and healthcare practitioners worldwide by focusing on the interplay of gut microbiome and diabetes. These studies focus on the role and the potential impact of intestinal microflora in diabetes. We paint a clear picture of how strongly microbes are linked and associated, both positively and negatively, with the fundamental and essential parts of diabetes in humans. The microflora seems to have an endless capacity to impact and transform diabetes. We conclude that there is clear and growing evidence of a close relationship between the microbiota and diabetes and this is worthy of future investments and research efforts.

Indexed as

CausalityDiabetesInflammationInsulin resistanceMechanismMetabolitesMicrobiotaType 1 diabetesType 2 diabetes

Identifiers

PMID32843932
PMCPMC7415231

What OpenQuestion holds

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Registered trials

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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.