Evidence map›Paper›PMID 40554518›Full record

ArticlePloS one2025

Assessment of a multiplex arbovirus PCR Detection Test in an area endemic for Chikungunya, Zika, and Dengue viruses: An evaluation of kit performance characteristics in line with Clinical Laboratory Improvement Amendments (CLIA) Standards.

Leonard Kingwara, Lazarus Odeny, Vera Onwonga, Rukia Madada, Marygorett Mbeneka, Jully Okonji, Victoria Mwende, Charles Rombo, Shalyn Akasa, Millicent Ndia and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Evaluation of the NovaplexInternational journal of molecular sciences · 2026
    Article
  3. Review
  4. Review
  5. 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

14 authors.

Leonard KingwaraKenya National Public Health Institute, Kenya.ORCID 0000-0001-6883-267X
Lazarus OdenyAmref Health Africa, Africa.ORCID 0000-0001-7472-3760
Vera OnwongaKenya National Public Health Institute, Kenya.
Rukia MadadaKenya National Public Health Institute, Kenya.
Marygorett MbenekaKenya National Public Health Institute, Kenya.
Jully OkonjiKenya National Public Health Institute, Kenya.
Victoria MwendeKenya National Public Health Institute, Kenya.
Charles RomboKenya National Public Health Institute, Kenya.
Shalyn AkasaKenya National Public Health Institute, Kenya.
Millicent NdiaKenya National Public Health Institute, Kenya.
Fredrick OumaKenya National Public Health Institute, Kenya.ORCID 0000-0001-7361-9080
Isabella AyagahKenya National Public Health Institute, Kenya.
Abdi RobaKenya National Public Health Institute, Kenya.
Kamene KimenyeKenya National Public Health Institute, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral multiplex and singleplex PCR systems exist for the detection of Dengue(DENV), Zika(ZIKV), and Chikungunya(CHIKV) viruses; however, their performance characteristics in East Africa remain unassessed. In this study, we investigated the TaqMan® Arbovirus Triplex Kit, which allows for the simultaneous identification of CHIKV, DENV, and ZIKV viruses in serum samples and singleplex assays, including the RealStar® Chikungunya RT-PCR Kit 2.0, RealStar® Dengue RT-PCR Kit 3.0, and RealStar® Zika Virus RT-PCR Kit 1.0.

methodsWe used Clinical Laboratory Improvement validation methods and residual specimens sourced from DENV, CHIKV, and ZIKV outbreaks, from Kenya, Brazil, and the Democratic Republic of Congo(DRC) in March 2024. Quality control was ensured through Quality Control for Medical diagnostics (QCMD) commercial positive panels. Gold standard results were established through consensus from multiple kits, including the TaqMan® Arbovirus Triplex Kit, Illumina viral surveillance panel (Illumina VSP), and Altona singleplex kit. Data were analyzed using R to determine specificity, sensitivity, negative predictive value (NPV), positive predictive value (PPV), and diagnostic odds ratio, with probit analysis employed to evaluate the limit of detection.

resultsThe TaqMan® Arbovirus Kit showed sensitivity exceeding 95% for all three virus targets: 97.98% for DENV, and 100% for both CHIKV and ZIKV. Simillarly, the RealStar® RT-PCR Kits exhibited sensitivities: 93.94% for CHIKV, 90.91% for DENV, and 100% for ZIKV. All kits demonstrated specificity above 99%, with a positive predictive value (PPV) over 99% and a negative predictive value (NPV) exceeding 97%. Probit analysis revealed that the TaqMan® Arbovirus Kit also had a lower detection limit compared to the RealStar kit for all tested viruses.

conclusionThe TaqMan® Arbovirus Kit provides multiplex capabilities and performance similar to the RealStar® CHIKV, DENV, and ZIKV RT-PCR Kits. Consequently, these kits can be used interchangeably for detecting DENV, CHIKV, and ZIKV viruses in outbreak situations.

Indexed as

Chikungunya FeverChikungunya virusDengueDengue VirusMultiplex Polymerase Chain ReactionZika VirusZika Virus InfectionArbovirusesBrazilDemocratic Republic of the CongoHumansKenyaReagent Kits, DiagnosticSensitivity and SpecificityReagent Kits, Diagnostic

Identifiers

PMID40554518
PMCPMC12186890

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.