Evidence map›Paper›PMID 35747557›Full record

ArticleAfrican journal of laboratory medicine2022

Diagnostic challenges with accurate identification of

Teena S M Thomas, Juno Thomas, Karren le Roux, Sanelisiwe T Duze, Faith Mkhwanazi, Adriano Duse

Abstract read
In one paragraph

Article in African journal of laboratory medicine, 2022. 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
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Teena S M ThomasInfection Control Services Laboratory, National Health Laboratory Services, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-2720-1123
Juno ThomasCentre for Enteric Diseases, National Institute of Communicable Diseases, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-8986-1135
Karren le RouxInfection Control Services Laboratory, National Health Laboratory Services, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-6195-0542
Sanelisiwe T DuzeDepartment of Clinical Microbiology and Infectious Disease, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-3909-4628
Faith MkhwanaziInfection Control Services Laboratory, National Health Laboratory Services, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-6849-5538
Adriano DuseInfection Control Services Laboratory, National Health Laboratory Services, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-3442-5931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 2017-2018 listeriosis outbreak in South Africa warranted testing for Objective: The study assessed the performance of the commonly used tests in our setting to accurately identify Methods: The study was conducted in a public health laboratory in South Africa. Cultured isolates from food and environmental samples were tested both prospectively and retrospectively between August 2018 and December 2018. Isolates were phenotypically identified using tests for detecting β-haemolysis, Christie-Atkins-Munch-Peterson, alanine arylamidase (AlaA), mannosidase, and xylose fermentation. Listeria monocytogenes isolates were identified using automated systems, Microscan Walkaway Plus 96, Vitek® MS, Vitek Results: β-haemolysis and Christie-Atkins-Munch-Peterson tests gave delayed positivity or were negative for Conclusion: No test was ideal in differentiating

Indexed as

Africadiagnostic challengesenvironmental samplesfoodListeria monocytogenes

Identifiers

PMID35747557
PMCPMC9210167

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.