Evidence map›Paper›PMID 40061907›Full record

ArticleFrontiers in veterinary science2025

Effectiveness of marker training for detection dogs.

Lucia Lazarowski, Bart Rogers, Courtney Collins-Pisano, Sarah Krichbaum, Michael Handley, Jordan G Smith, Paul Waggoner

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The Role of Olfaction in Dogs: Evolution, Biology, and Human-Oriented Work.Animals : an open access journal from MDPI · 2026
    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

7 authors.

Lucia LazarowskiCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Bart RogersCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Courtney Collins-PisanoCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Sarah KrichbaumCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Michael HandleyCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Jordan G SmithCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Paul WaggonerCanine Performance Sciences, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training detection dogs to alert to an odor requires precision in the timing and delivery of stimulus presentations in order to condition a strong association between odor and reward and to train a desired alert behavior that communicates the presence and location of the odor source. Marker training, in which a signal that predicts a reward is used to deliver immediate feedback for a correct response and bridge the delay between the desired behavior and reward, is a popular technique in the animal training industry. However, the application of marker training to detection dog training has not been examined, and empirical evidence of the purported benefits of marker training in general is lacking. The current study evaluated the effectiveness of marker training for odor detection learning and performance. Candidate detection dogs (

Indexed as

canineclicker trainingconditioned reinforcerdetection dogslearningtraining

Identifiers

PMID40061907
PMCPMC11885294

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.