Evidence map›Paper›PMID 36766318›Full record

ArticleAnimals : an open access journal from MDPI2023

A Scoping Review of Non-Structural Airway Disease as a Cause of Poor Performance in Racehorses.

Ann Cullinane, Marie Garvey, Cathal Walsh, James Gibbons, Alan Creighton

Abstract readScoping Review
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ann CullinaneThe Irish Equine Centre, Johnstown, Naas, Co., W91 RH93 Kildare, Ireland.
Marie GarveyThe Irish Equine Centre, Johnstown, Naas, Co., W91 RH93 Kildare, Ireland.
Cathal WalshDepartment of Mathematics and Statistics, University of Limerick, V94 T9PX Limerick, Ireland.ORCID 0000-0001-6599-9562
James GibbonsThe Irish Equine Centre, Johnstown, Naas, Co., W91 RH93 Kildare, Ireland.
Alan CreightonThe Irish Equine Centre, Johnstown, Naas, Co., W91 RH93 Kildare, Ireland.

Funding

Department of Agriculture, Food and the Marine, Ireland. Equine Technical Support & Equine Breeding Schemes 2019-2021.
6 · The paper itself

Abstract

The association between poor performance and respiratory disease in Thoroughbred racehorses that do not have a structural abnormality of the respiratory tract, is often based on anecdotal evidence. The objective of this scoping review was to examine the scientific evidence for such associations. Publications were selected based on a search of three databases (PubMed, Scopus, and CAB Direct), in English and without date restriction, followed by a screening process to exclude non-relevant papers, duplicates, and reviews. This process identified 996 publications of which 20 were analysed using the Quality in Prognosis Studies (QUIPS) tool. The results indicated that the evidence supporting the relationship between proposed diagnostic indicators and poor performance is variable. There is a need for better quality evidence. In particular, there are conflicting reports relating to the impact of equine asthma and EIPH on athletic performance. Furthermore, a lack of standardisation in the measurement of racehorse performance makes it difficult to compare findings from different studies. The industry would benefit from high-level guidance concerning the design of controlled performance studies in Thoroughbred racehorses to collect comprehensive data and facilitate targeted interventions.

Indexed as

equine asthmapoor performanceracehorserespiratory diseasereviewThoroughbred

Identifiers

PMID36766318
PMCPMC9913315

What OpenQuestion holds

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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.