Evidence map›Paper›PMID 40474839›Full record

ReviewJournal of veterinary pharmacology and therapeutics2025

Recommendations for a Complete Reporting of Statistical Methods in Veterinary Pharmacology.

Nicolas F Villarino

Abstract readReview
In one paragraph

Review in Journal of veterinary pharmacology and therapeutics, 2025. 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

1 author.

Nicolas F VillarinoDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.ORCID https://orcid.org/0000-0003-4191-0820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproducibility and replicability of study results are crucial for advancing scientific knowledge. However, achieving these goals is often challenging, which can compromise the credibility of research and incur immeasurable costs for the progression of science. Despite efforts to standardize reporting with guidelines, the description of statistical methodology in manuscripts often remains insufficient, limiting the possibility of replicating scientific studies. A thorough, transparent, and complete report of statistical methods is essential for understanding study results and mimicking statistical strategies implemented in previous studies. This review outlines the key statistical reporting elements required to replicate statistical methods in most current veterinary pharmacology studies. It also offers a protocol for statistical reporting to aid in manuscript preparation and to assist trialists and editors in the collective strive for advancing veterinary pharmacology research.

Indexed as

PharmacologyResearch DesignVeterinary DrugsVeterinary MedicineAnimalsData Interpretation, StatisticalReproducibility of ResultsVeterinary Drugsassumptionsexperimentationreplicabilityreproducibilitystatistics

Identifiers

PMID40474839
PMCPMC12257266

What OpenQuestion holds

Textmetadata
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.