Evidence map›Paper›PMID 31828080›Full record

ArticleFrontiers in veterinary science2019

Development of Reporting Guidelines for Animal Health Surveillance-AHSURED.

Arianna Comin, John Grewar, Gerdien van Schaik, Heinzpeter Schwermer, Julie Paré, Farouk El Allaki, Julian A Drewe, Ana Carolina Lopes Antunes, Leah Estberg, Michael Horan and 6 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  5. Article
  6. Microorganisms · 2020
    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

16 authors.

Arianna CominDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
John GrewarSouth African Equine Health and Protocols NPC, Cape Town, South Africa.
Gerdien van SchaikGD Animal Health, Deventer, Netherlands.
Heinzpeter SchwermerDepartment of Animal Health, Federal Food Safety and Veterinary Office, Berne, Switzerland.
Julie ParéSection of Terrestrial Animal Health Epidemiology and Surveillance, Canadian Food Inspection Agency, Saint-Hyacinthe, QC, Canada.
Farouk El AllakiSection of Terrestrial Animal Health Epidemiology and Surveillance, Canadian Food Inspection Agency, Saint-Hyacinthe, QC, Canada.
Julian A DreweVeterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, London, United Kingdom.
Ana Carolina Lopes AntunesDivision for Diagnostics & Scientific Advice - Epidemiology, Technical University of Denmark, Lyngby, Denmark.
Leah EstbergUnited States Department of Agriculture, Center for Epidemiology and Animal Health, Fort Collins, CO, United States.
Michael HoranSAT Division, Department of Agriculture, Food and the Marine, Celbridge, Ireland.
Francisco F Calvo-ArtaviaUnit of Animal Health, Danish Veterinary and Food Administration, Glostrup, Denmark.
Abdurrahman Hassan JibrilDepartment of Veterinary and Animal Science, University of Copenhagen, Copenhagen, Denmark.
Marta Martínez-AvilésCenter for Animal Health Research, National Institute for Agricultural and Food Research and Technology, Madrid, Spain.
Yves Van der StedeUnit of Animal and Plant Health, Department of Risk Assessment and Scientific Assistance, European Food Safety Authority, Parma, Italy.
Sotiria-Eleni AntoniouUnit of Animal and Plant Health, Department of Risk Assessment and Scientific Assistance, European Food Safety Authority, Parma, Italy.
Ann LindbergDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the current trend in animal health surveillance toward risk-based designs and a gradual transition to output-based standards, greater flexibility in surveillance design is both required and allowed. However, the increase in flexibility requires more transparency regarding surveillance, its activities, design and implementation. Such transparency allows stakeholders, trade partners, decision-makers and risk assessors to accurately interpret the validity of the surveillance outcomes. This paper presents the first version of the Animal Health Surveillance Reporting Guidelines (AHSURED) and the process by which they have been developed. The goal of AHSURED was to produce a set of reporting guidelines that supports communication of surveillance activities in the form of narrative descriptions. Reporting guidelines come from the field of evidence-based medicine and their aim is to improve consistency and quality of information reported in scientific journals. They usually consist of a checklist of items to be reported, a description/definition of each item, and an explanation and elaboration document. Examples of well-reported items are frequently provided. Additionally, it is common to make available a website where the guidelines are documented and maintained. This first version of the AHSURED guidelines consists of a checklist of 40 items organized in 11 sections (i.e., surveillance system building blocks), which is available as a wiki at https://github.com/SVA-SE/AHSURED/wiki. The choice of a wiki format will allow for further inputs from surveillance experts who were not involved in the earlier stages of development. This will promote an up-to-date refined guideline document.

Indexed as

animal health surveillanceexpert elicitationharmonizationoutput-based standardsreporting guidelines

Identifiers

PMID31828080
PMCPMC6890601

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.