Evidence map›Paper›PMID 38792711›Full record

ArticleMicroorganisms2024

Optimizing

Xiangyu Meng, Chen Xv, Jiaping Lv, Shuwen Zhang, Changlu Ma, Xiaoyang Pang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Journal of microbiology and biotechnology · 2025
    Article
  2. Foods (Basel, Switzerland) · 2024
    Review
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

6 authors.

Xiangyu MengInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0009-0004-5958-7552
Chen XvInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0009-0009-2783-6186
Jiaping LvInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Shuwen ZhangInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-0064-2236
Changlu MaInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xiaoyang PangInstitute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0003-1813-2039

Funding

Agricultural Science and Technology Innovation Program of Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences CAAS-ASTIP-G2022-IFST-06, S2022JBKY-09National Dairy Industry Technology System CARS-36National Natural Science Foundation of China 32172190The Chief Expert Team Project of Beijing Vocational College of Agriculture XY-TD-22-04
6 · The paper itself

Abstract

The study aims to analyze the composition of the gut microbiota in Chinese individuals using metagenomic sequencing technology, with a particular focus on the abundance of

Indexed as

16S rRNAAkkermansia muciniphilagrowth promoting factormetagenomicsseparation and identification

Identifiers

PMID38792711
PMCPMC11124125

What OpenQuestion holds

Textmetadata
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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.