Evidence map›Paper›PMID 33335259›Full record

ArticleScientific reports2020

A functional linear modeling approach to sleep-wake cycles in dogs.

Hope J Woods, Ming Fei Li, Ujas A Patel, B Duncan X Lascelles, David R Samson, Margaret E Gruen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Beacon-based sleep-wake monitoring in dogs.The Journal of veterinary medical science · 2024
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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 at 3 institutions in 2 countries.

Hope J WoodsDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
Ming Fei LiDepartment of Anthropology, University of Toronto, Toronto, ON, Canada.
Ujas A PatelDepartment of Anthropology, University of Toronto Mississauga, Mississauga, ON, Canada.
B Duncan X LascellesDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.
David R SamsonDepartment of Anthropology, University of Toronto Mississauga, Mississauga, ON, Canada.
Margaret E GruenDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA. Margaret_gruen@ncsu.edu.
University of Toronto · CANorth Carolina State University · USUniversity of North Carolina Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have occurred in the ability to study sleep in dogs, including development of non-invasive polysomnography; however, basic understanding of dog sleep patterns remains poorly characterized. The purpose of this study was to establish baseline sleep-wake cycle and activity patterns using actigraphy and functional linear modeling (FLM), for healthy, adult companion dogs. Forty-two dogs were enrolled and wore activity monitors for 14 days. FLM demonstrated a bimodal pattern of activity with significant effects of sex, body mass, and age; the effect of age was particularly evident during the times of peak activity. This study demonstrated that FLM can be used to describe normal sleep-wake cycles of healthy adult dogs and the effects of physiologic traits on these patterns of activity. This foundation makes it possible to characterize deviations from normal patterns, including those associated with chronic pain and cognitive dysfunction syndrome. This can improve detection of these conditions in dogs, benefitting them and their potential as models for human disease.

Indexed as

Behavior, AnimalModels, BiologicalSleepWakefulnessAlgorithmsAnimalsDogs

Identifiers

PMID33335259
PMCPMC7747556
OpenAlexW3111156123

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.