Evidence map›Paper›PMID 42668921›Full record

ArticlePakistan journal of medical sciences2026

The interaction of intestinal microbiota and diabetes mellitus: A database-based quantitative analysis and visualization.

Qian Wang, Liwen Zhan, Ying Wen, Chenyang Wang

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qian WangQian Wang Department of Clinical Laboratory, The Hospital of 82nd Group Army PLA, Baoding 071000, Hebei, China.
Liwen ZhanLiwen Zhan Department of Clinical Laboratory, Hebei Provincial Mental Health Center, Baoding 071000, Hebei, China. The Sixth Clinical Medical College of Hebei University, Baoding 071000, Hebei, China.
Ying WenYing Wen Department of Ultrasound, The Hospital of 82nd Group Army PLA, Baoding 071000, Hebei, China.
Chenyang WangChenyang Wang Central Laboratory, Department of Cardiology, The Hospital of 82nd Group Army PLA, Baoding 071000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To comprehensively characterize the composition and structure of intestinal microbiota in Type-II diabetes mellitus (T2DM) patients and identify microbial taxa associated with metabolic parameters, particularly body mass index (BMI), using integrated multi-database analysis and quantitative visualization approaches. Methodology: This retrospective study was conducted at The Hospital of the 82nd Group Army of the PLA from 2024 to 2025, using data from public repositories. Using multi omics sample analysis methods, quantitative analysis and visualization of the interactions between gut microbiota and diabetes mellitus were discovered and explained. The original data was obtained from the NCBI and GMrepo databases. The abundance of gut microbiota was analyzed and visualized in diabetic patients of various BMI indexes, sexes, and ages. Results: A comprehensive analysis of 2,457 bacterial species and 550 genera revealed Bacteroides as the most abundant genus (11.29%), followed by Conclusion: This study offers a comprehensive view of the interplay between intestinal microbiota and diabetes mellitus in patients.

Indexed as

Diabetes MellitusInteractionIntestinal MicrobiotaQuantitative AnalysisVisualization

Identifiers

PMID42668921
PMCPMC13525530

What Socratic holds

Textmetadata
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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 Socratic graph.