Evidence map›Paper›PMID 42908594›Full record

ArticleFrontiers in microbiology2026

Baseline co-occurrence of

Yue Ma, Yu Lu, Mingyan Geng, Yan Wang, Wei-Hua Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Yue Ma *Shandong Medical and Pharmaceutical University, Yantai, Shandong, China.
Yu Lu *Shandong Medical and Pharmaceutical University, Yantai, Shandong, China.
Mingyan GengShandong Medical and Pharmaceutical University, Yantai, Shandong, China.
Yan WangShandong Medical and Pharmaceutical University, Yantai, Shandong, China.
Wei-Hua ChenKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 resistant starch (RS2) can be fermented by the gut microbiota and contribute to short-chain fatty acid (SCFA) production; however, microbial responses to resistant starch vary substantially across individuals and populations, and the role of baseline microbiota in this variability remains incompletely understood. In this study, we integrated four publicly available paired metagenomic datasets representing diverse experimental and host contexts and performed cross-dataset analyses of taxonomic and functional responses.

Indexed as

Bifidobacterium adolescentisFaecalibacterium prausnitziigut microbiomeRuminococcus bromiishort-chain fatty acidstype 2 resistant starch

Identifiers

PMID42908594
PMCPMC13682993

What OpenQuestion holds

Textmetadata
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.