Evidence map›Paper›PMID 31527123›Full record

ReviewInfection and immunity2019

Biomarkers for Detecting Resilience against Mycobacterial Disease in Animals.

Kathryn Wright, Karren Plain, Auriol Purdie, Bernadette M Saunders, Kumudika de Silva

Open access · bronzeAbstract readReview
In one paragraph

Review in Infection and immunity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. In silico design ofHeliyon · 2024
    Article
  5. Article
  6. Progress in Paratuberculosis Control Programmes for Dairy Herds.Animals : an open access journal from MDPI · 2024
    Review
  7. ZebrafishLife science alliance · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Early Detection ofFrontiers in veterinary science · 2021
    Article
  13. Review
  14. 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 at 2 institutions in 1 country.

Kathryn WrightSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, Australia.
Karren PlainSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, Australia.
Auriol PurdieSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, Australia.
Bernadette M SaundersSchool of Life Science, Faculty of Science, University of Technology Sydney, Sydney, Australia.
Kumudika de SilvaSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, Australia kumi.desilva@sydney.edu.au.
University of Sydney · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paratuberculosis and bovine tuberculosis are two mycobacterial diseases of ruminants which have a considerable impact on livestock health, welfare, and production. These are chronic "iceberg" diseases which take years to manifest and in which many subclinical cases remain undetected. Suggested biomarkers to detect infected or diseased animals are numerous and include cytokines, peptides, and expression of specific genes; however, these do not provide a strong correlation to disease. Despite these advances, disease detection still relies heavily on dated methods such as detection of pathogen shedding, skin tests, or serology. Here we review the evidence for suitable biomarkers and their mechanisms of action, with a focus on identifying animals that are resilient to disease. A better understanding of these factors will help establish new strategies to control the spread of these diseases.

Indexed as

Disease ResistanceRuminantsAnimalsBiomarkersImmunologic FactorsMycobacterium InfectionsBiomarkersImmunologic Factorsbiomarkerimmune markersmicroRNAparatuberculosisresiliencetuberculosis

Identifiers

PMID31527123
PMCPMC6921658
OpenAlexW2972459989

What OpenQuestion holds

Textmetadata
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.