Evidence map›Paper›PMID 41893698›Full record

ArticleVeterinary sciences2026

A Teaching Reform Practice to Improve Research Literacy of Veterinary Postgraduate Students Based on Evidence-Based Veterinary Medicine.

Wanglong Zheng, Penggang Liu, Bin Li, Huiling Zhang, Xinyuan Liu, Tangjie Zhang

Abstract read
In one paragraph

Article in Veterinary 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.

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

6 authors.

Wanglong ZhengInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-0939-331X
Penggang LiuInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Bin LiInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0003-2882-7512
Huiling ZhangIndependent Researcher, New York, NY 11355, USA.ORCID 0009-0006-9327-1804
Xinyuan LiuInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
Tangjie ZhangInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-5170-6298

Funding

the 111 Project D18007 the 111 Project D18007the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD
6 · The paper itself

Abstract

Despite the importance of researcher literacy in veterinary postgraduate education, conventional training often overlooks the methodologies of evidence synthesis. This study assessed an evidence-based veterinary medicine (EBVM) pathway that integrates structured meta-analysis practice into the curriculum. Veterinary postgraduates were assigned to either an EBVM-intensive training group or a comparison group receiving routine instruction. Pre- and post-intervention assessments using a structured questionnaire revealed that the training group achieved superior proficiency in literature retrieval, critical appraisal, and methodological rigor. Notably, this pedagogical approach yielded nine peer-reviewed meta-analyses between 2021 and 2025, while no comparable output was observed in the comparison group. This evidence suggests that integrating hands-on meta-analysis into EBVM instruction serves as a catalyst, transforming theoretical learning into tangible, high-quality scholarly output.

Indexed as

educational trainingevidence-based veterinary medicinemeta-analysis trainingresearch capacity buildingveterinary postgraduate education

Identifiers

PMID41893698
PMCPMC13030425

What OpenQuestion holds

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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 OpenQuestion graph.