Evidence map›Paper›PMID 40871232›Full record

ArticleMicroorganisms2025

Uterine Microbiota Composition in Dairy Cows with Different Vaginal Discharge Scores: Suggesting Caviibacter as a Potential Pathogen in Mild Purulent Metritis.

Xiaolei He, Jiajia Wang, Lin Jiang, Xinyu Wang, Yuxing Wang, Yang Liu, Yanping Cheng, Fei Xu, Xiubo Li

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiaolei HeInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Jiajia WangInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Lin JiangInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xinyu WangInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yuxing WangInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yang LiuInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yanping ChengBeijing Lvhe Cattle Farming Co., Ltd., Beijing 100163, China.
Fei XuInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-3346-7689
Xiubo LiInstitute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Funding

Agricultural Science and Technology Innovation Program ASTIP, No. IFR-06National Key R&D Program Project Number: 2023YFD1800902
6 · The paper itself

Abstract

The uterine microbiota plays a crucial role in maintaining postpartum reproductive health in dairy cows, and its dysregulation is closely associated with uterine diseases. Vaginal discharge characteristics serve as important clinical indicators for assessing uterine status and guiding clinical decision-making. This study employed 16S rRNA gene sequencing to analyze uterine microbial diversity in cows with different discharge types. Results revealed significant microbial shifts associated with discharge severity. Notably,

Indexed as

postpartum metritisuterine microbiotavaginal discharge

Identifiers

PMID40871232
PMCPMC12388308

What OpenQuestion holds

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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.