Evidence map›Paper›PMID 37598708›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

Evaluation of Kato-Katz and multiplex quantitative polymerase chain reaction performance for clinical helminth infections in Thailand using a latent class analysis.

Chawarat Rotejanaprasert, Pavadee Chuaicharoen, Joaquin M Prada, Thanawadee Thantithaveewat, Poom Adisakwattana, Wirichada Pan-Ngum

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Shared urinary metabolomic signatures as potential biomarkers for early intestinalCurrent research in parasitology & vector-borne diseases · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 4 countries.

Chawarat RotejanaprasertDepartment of Tropical Hygiene, Mahidol University, Bangkok, Thailand.
Pavadee ChuaicharoenDepartment of Tropical Hygiene, Mahidol University, Bangkok, Thailand.
Joaquin M PradaFaculty of Health and Medical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, UK.
Thanawadee ThantithaveewatBureau of General Communicable Diseases, Ministry of Public Health, Nonthaburi, Thailand.
Poom AdisakwattanaDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Wirichada Pan-NgumDepartment of Tropical Hygiene, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-9839-5359
Mahidol University · THGuildford College · GBMinistry of Public Health · TH

Funding

Wellcome Trust 220211
6 · The paper itself

Abstract

Using an appropriate diagnostic tool is essential to soil-transmitted helminth control and elimination efforts. Kato-Katz (KK) is the most commonly used diagnostic, but recently other tools, such as real-time quantitative polymerase chain reaction (multiplex qPCR), are starting to be employed more. Here, we evaluated the performance of these two diagnostic tools for five helminth species in Thailand. In the absence of a gold standard, diagnostic performance can be evaluated using latent class analysis. Our results suggest that in moderate to high prevalence settings above 2% multiplex qPCR could be more sensitive than KK, this was particularly apparent for

Indexed as

Communicable DiseasesHelminthsAnimalsLatent Class AnalysisNeglected DiseasesReal-Time Polymerase Chain ReactionThailandeliminationhelminthKato-Katzlatent class analysisqPCR

Identifiers

PMID37598708
PMCPMC10440171
OpenAlexW4386012157

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.