Evidence map›Paper›PMID 38962707›Full record

ArticleFrontiers in veterinary science2024

Comparison of test performance of a conventional PCR and two field-friendly tests to detect

Maureen W Kamau, Carmel Witte, Wynand Goosen, Mathew Mutinda, Jandouwe Villinger, Dennis Getange, Rua Khogali, Michael E von Fricken, Eric Maurice Fèvre, Dawn Zimmerman and 2 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Maureen W KamauMpala Research Centre, Nanyuki, Kenya.
Carmel WitteDivision of Molecular Biology and Human Genetics, Department of Science, and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Faculty of Medicine and Health Sciences, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.
Wynand GoosenDivision of Molecular Biology and Human Genetics, Department of Science, and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Faculty of Medicine and Health Sciences, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.
Mathew MutindaKenya Wildlife Service, Nairobi, Kenya.
Jandouwe VillingerInternational Centre of Insect Physiology and Ecology (ICIPE), Nairobi, Kenya.
Dennis GetangeInternational Centre of Insect Physiology and Ecology (ICIPE), Nairobi, Kenya.
Rua KhogaliInternational Centre of Insect Physiology and Ecology (ICIPE), Nairobi, Kenya.
Michael E von FrickenCollege of Public Health and Health Professionals, Department of Environmental and Global Health University of Florida, Gainesville, FL, United States.
Eric Maurice FèvreInternational Livestock Research Institute, Nairobi, Kenya.
Dawn ZimmermanVeterinary Initiative for Endangered Wildlife, Bozeman, MT, United States.
Yvonne-Marie LintonWalter Reed Biosystematics Unit (WRBU) Smithsonian Institution Museum Support Center, Suitland, MD, United States.
Michele MillerDivision of Molecular Biology and Human Genetics, Department of Science, and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Faculty of Medicine and Health Sciences, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: In total, 169 ticks from wild animals and cattle in wildlife conservancies in northern Kenya were screened for Results: The final BLCA model included main effects and estimated that PCR-HRM had the highest Se (86%; 95% credible interval: 56-99%), followed by the Biomeme (Se = 57%; 95% credible interval: 34-90%), with the estimated Se of the cPCR being the lowest (24%, 95% credible interval: 10-47%). Specificity estimates for all three assays ranged from 94 to 98%. Based on the model, an estimated 16% of ticks had Discussion: These results reflect the endemicity of

Indexed as

Coxiella burnetiidiagnosticsQ feversensitivityspecificitytickswildlife

Identifiers

PMID38962707
PMCPMC11220323

What OpenQuestion holds

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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.