Evidence map›Paper›PMID 33082999›Full record

ReviewPorcine health management2020

Guidelines for oral fluid-based surveillance of viral pathogens in swine.

Alexandra Henao-Diaz, Luis Giménez-Lirola, David H Baum, Jeffrey Zimmerman

Abstract readReview
In one paragraph

Review in Porcine health management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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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

4 authors.

Alexandra Henao-DiazDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Veterinary Medical Research Institute, Iowa State University, Ames, Iowa 50011 USA.ORCID 0000-0002-1821-7641
Luis Giménez-LirolaDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Veterinary Medical Research Institute, Iowa State University, Ames, Iowa 50011 USA.
David H BaumDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Veterinary Medical Research Institute, Iowa State University, Ames, Iowa 50011 USA.
Jeffrey ZimmermanDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Veterinary Medical Research Institute, Iowa State University, Ames, Iowa 50011 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent decades have seen both rapid growth and extensive consolidation in swine production. As a collateral effect, these changes have exacerbated the circulation of viruses and challenged our ability to prevent, control, and/or eliminate impactful swine diseases. Recent pandemic events in human and animal health, e.g., SARS-CoV-2 and African swine fever virus, highlight the fact that clinical observations are too slow and inaccurate to form the basis for effective health management decisions: systematic processes that provide timely, reliable data are required. Oral fluid-based surveillance reflects the adaptation of conventional testing methods to an alternative diagnostic specimen. The routine use of oral fluids in commercial farms for PRRSV and PCV2 surveillance was first proposed in 2008 as an efficient and practical improvement on individual pig sampling. Subsequent research expanded on this initial report to include the detection of ≥23 swine viral pathogens and the implementation of oral fluid-based surveillance in large swine populations (> 12,000 pigs). Herein we compile the current information regarding oral fluid collection methods, testing, and surveillance applications in swine production.

Indexed as

ELISAOral fluidsRT-PCRSurveillanceViral diseases

Identifiers

PMID33082999
PMCPMC7569198

What OpenQuestion holds

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LicenceCC BY
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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.