Evidence map›Paper›PMID 32766296›Full record

ReviewFrontiers in veterinary science2020

Methodological Considerations in Canine Olfactory Detection Research.

Lucia Lazarowski, Sarah Krichbaum, Lauryn E DeGreeff, Alison Simon, Melissa Singletary, Craig Angle, L Paul Waggoner

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
  3. Combining detection dogs with air extraction methodology to expose wildlife trafficking in containerized cargo.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Role of Olfaction in Dogs: Evolution, Biology, and Human-Oriented Work.Animals : an open access journal from MDPI · 2026
    Review
  10. BreathERJ open research · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Effectiveness of marker training for detection dogs.Frontiers in veterinary science · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors.

Lucia LazarowskiCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Sarah KrichbaumCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Lauryn E DeGreeffChemistry Division, U.S. Naval Research Laboratory, Washington, DC, United States.
Alison SimonAGS Forensics, LLC, Washington, DC, United States.
Melissa SingletaryCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Craig AngleCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
L Paul WaggonerCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dogs are increasingly used in a wide range of detection tasks including explosives, narcotics, medical, and wildlife detection. Research on detection dog performance is important to understand olfactory capabilities, behavioral characteristics, improve training, expand deployment practices, and advance applied canine technologies. As such, it is important to understand the influence of specific variables on the quantification of detection dog performance such as test design, experimental controls, odor characteristics, and statistical analysis. Methods for testing canine scent detection vary influencing the outcome metrics of performance and the validity of results. Operators, management teams, policy makers, and law enforcement rely on scientific data to make decisions, design policies, and advance canine technologies. A lack of scientific information and standardized protocols in the detector dog industry adds difficulty and inaccuracies when making informed decisions about capability, vulnerability, and risk analysis. Therefore, the aim of this review is to highlight important methodological issues and expand on considerations for conducting scientifically valid detection dog research.

Indexed as

animal behaviorcanine olfaction testingdetection dogsolfactionscent detection

Identifiers

PMID32766296
PMCPMC7379233

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.