Evidence map›Paper›PMID 34944230›Full record

ArticleAnimals : an open access journal from MDPI2021

Combining Analytical Approaches and Multiple Sources of Information to Improve Interpretation of Diagnostic Test Results for Tuberculosis in Wild Meerkats.

Stuart J Patterson, Charlene Clarke, Tim H Clutton-Brock, Michele A Miller, Sven D C Parsons, Dirk U Pfeiffer, Timothée Vergne, Julian A Drewe

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. 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
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Trait-Based Vaccination of Individual Meerkats (Animals : an open access journal from MDPI · 2022
    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

8 authors at 4 institutions in 4 countries.

Stuart J PattersonVeterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, University of London, Hawkshead Lane, Hatfield AL9 7TA, UK.ORCID 0000-0002-4907-8373
Charlene ClarkeSAMRC Centre for TB Research, DSI/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa.ORCID 0000-0002-9497-2614
Tim H Clutton-BrockLarge Animal Research Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
Michele A MillerSAMRC Centre for TB Research, DSI/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa.ORCID 0000-0002-5883-6076
Sven D C ParsonsSAMRC Centre for TB Research, DSI/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa.ORCID 0000-0002-9033-9686
Dirk U PfeifferVeterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, University of London, Hawkshead Lane, Hatfield AL9 7TA, UK.ORCID 0000-0001-7000-0530
Timothée VergneUMR ENVT-INRAE IHAP, National Veterinary School of Toulouse, 31300 Toulous, France.
Julian A DreweVeterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, University of London, Hawkshead Lane, Hatfield AL9 7TA, UK.ORCID 0000-0003-0709-8066
South African Medical Research Council · ZAUniversity of London · GBÉcole Nationale Vétérinaire de Toulouse · FRUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F016891/1European Research Council 294494
6 · The paper itself

Abstract

Diagnostic tests are used to classify individual animals' infection statuses. However, validating test performance in wild animals without gold standard tests is extremely challenging, and the issue is further complicated in chronic conditions where measured immune parameters vary over time. Here, we demonstrate the value of combining evidence from different diagnostic approaches to aid interpretation in the absence of gold standards, large sample sizes, and controlled environments. Over a two-year period, we sampled 268 free-living meerkats (

Indexed as

diagnosticsinterpretationmeerkatstuberculosiswildlife

Identifiers

PMID34944230
PMCPMC8698085
OpenAlexW4200429566

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.