Evidence map›Paper›PMID 35209771›Full record

ReviewJournal of feline medicine and surgery2022

Normal feline reproduction: The tom.

Aime K Johnson

Open access · greenAbstract readReview
In one paragraph

Review in Journal of feline medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. One-year surveillance ofFrontiers in veterinary science · 2025
    Article
  3. Article
  4. Infertility In Toms: Clinical approach, experiences and challenges.Journal of feline medicine and surgery · 2022
    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

1 author at 1 institution in 1 country.

Aime K JohnsonAuburn University College of Veterinary Medicine, Auburn, AL, USA.
Auburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

practical relevanceUnderstanding the normal reproductive anatomy and physiology of the male cat is important for successful breeding. Veterinarians may be called in to troubleshoot when fertility and pregnancy rates decrease in a cattery. By understanding the normal physical parameters, as well as breeding behavior, the veterinarian is better equipped to assess the infertility issue. Also, clients are increasingly requesting breeding soundness examinations prior to mating or purchase. Semen collection is more difficult in the cat than in the dog but can still be accomplished in a clinical setting and provides important information when confronted with breeding males.

aimThe aim of this review is to provide a practical overview of the breeding male. The reader will receive information on time of puberty, normal reproductive anatomy (both external and internal), and breeding management practices to optimize fertility. The most up-to-date semen collection techniques are discussed, as are sedation/anesthesia options. Also, historical literature on the basic anatomy of the male reproductive system is reviewed, such as how the penile spines work and when they appear; this information is specific to the cat. EVIDENCE BASE: The information in this article is based on the author's experience, as well as drawing on historical and current literature, and provides the most up-to-date review as possible.

Indexed as

Cat DiseasesInfertilityAnimalsCatsFemaleFertilityMalePhysical ExaminationPregnancyReproductionSemenmale breeding behaviorpenissemen collectiontesticlesTom

Identifiers

PMID35209771
PMCPMC10845405
OpenAlexW4214543501

What OpenQuestion holds

Textmetadata
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.