Evidence map›Paper›PMID 39859950›Full record

ArticleLife (Basel, Switzerland)2024

Gut Microbial Composition and Antibiotic Resistance Profiles in Dairy Calves with Diarrhea.

Lu Zhang, Jun Bai, Qian Guo, Long Li, Yanqing Jia, Xinxin Qiu, Dong Zhou, Zhencang Zhang, Huafeng Niu

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Frontiers in microbiology · 2026
    Article
  3. Article
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.

Lu ZhangDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Jun BaiDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Qian GuoShaanXi Province Management Station of Animal Health and Slaughter, Xi'an 710000, China.
Long LiDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Yanqing JiaDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Xinxin QiuDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Dong ZhouCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Zhencang ZhangDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.
Huafeng NiuDepartment of Animal Engineering, Yangling Vocational & Technical College, Yangling 712100, China.

Funding

Science and Technology Innovation Project of Yangling Vocational & Technical College ZK22-71
6 · The paper itself

Abstract

Calf diarrhea is a prevalent and significant health issue in dairy farming, severely impacting feed intake, weight gain, and survival rates in young calves. This study aimed to investigate the microbial composition and antibiotic resistance profiles of diarrheic calves to provide insights into the epidemiology and management of the condition. The prevalence of diarrhea in 1685 calves was analyzed. Rectal fecal samples were collected from five healthy and five diarrheic Holstein calves on a large dairy farm in Shaanxi Province, China. High-throughput 16S-rRNA sequencing and PCR were utilized for microbial and resistance gene analysis. In 2023, the overall diarrhea rate among 1685 calves was 9.08%, with a significantly higher diarrhea rate during the suckling period (8.13%) compared to the post-weaning period (0.95%) (

Indexed as

calf diarrheahigh-throughput analysismicrobiotaresistant genes

Identifiers

PMID39859950
PMCPMC11766533

What OpenQuestion holds

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LicenceCC BY
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.