Evidence map›Paper›PMID 31346474›Full record

ArticleTropical diseases, travel medicine and vaccines2019

Evaluation of the performance of a multiplex reverse transcription polymerase chain reaction kit as a potential diagnostic and surveillance kit for rotavirus in Kenya.

Cliff Odhiambo Philip, Margaret Koech, Nancy Kipkemoi, Ronald Kirera, Janet Ndonye, Abigael Ombogo, Mary Kirui, Erick Kipkirui, Brook Danboise, Christine Hulseberg and 5 more

Abstract read
In one paragraph

Article in Tropical diseases, travel medicine and vaccines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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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

15 authors.

Cliff Odhiambo PhilipUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.ORCID 0000-0002-4058-5264
Margaret KoechUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Nancy KipkemoiUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Ronald KireraUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Janet NdonyeUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Abigael OmbogoUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Mary KiruiUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Erick KipkiruiUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Brook Danboise2University of Michigan Medical School, Arbor, USA.
Christine Hulseberg3Center for Genome Sciences, US Army Medical Research Institute of Infectious Diseases, Frederick, Maryland USA.
Stacey Bateman4Madigan Army Medical Center, Washington, USA.
Alexander FlynnUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.
Brett Swierczewski5Walter Reed Army Institute of Research, Silver Spring, USA.
Esther Magiri6Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
Elizabeth OdundoUnited States Army Medical Research Directorate-Africa, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiarrhea is a serious concern worldwide, especially in developing countries. Rotavirus is implicated in approximately 400,000 infant deaths annually. It is highly contagious elevating the risk of outbreaks especially in enclosed settings such as daycare centers, hospitals, and boarding schools. Reliable testing methods are critical for early detection of infections, better clinical management, pathogen surveillance and evaluation of interventions such as vaccines. Enzyme immunoassays have proved to be reliable and practical in most settings; however, newer multiplex reverse transcription polymerase assays have been introduced in the Kenya market but have not been evaluated locally.

methodsStool samples collected from an ongoing Surveillance of Enteric Pathogens Causing diarrheal illness in Kenya (EPS) study were used to compare an established enzyme immunoassay, Premier™ Rotaclone® (Meridian Bioscience, Cincinnati, Ohio, U.S.A.), that can only detect group A rotavirus against a novel multiplex reverse transcription polymerase chain reaction kit, Seeplex® Diarrhea-V ACE Detection (Seegene, Seoul, Republic of Korea), that can detect rotavirus, astrovirus, adenovirus, and norovirus genogroups I and II. Detection frequency, sensitivity, specificity, turnaround time, and cost were compared to determine the suitability of each assay for clinical work in austere settings versus public health work in well-funded institutes in Kenya.

resultsThe Premier™ Rotaclone® kit had a detection frequency of 11.2%, sensitivity of 77.8%, specificity of 100%, turnaround time of 93 min and an average cost per sample of 13.33 United States dollars (USD). The Seeplex® Diarrhea-V ACE Detection kit had a detection frequency of 16.0%, sensitivity of 100%, specificity of 98.1%, turnaround time of 359 min and an average cost per samples 32.74 United States dollars respectively. The detection frequency sensitivity and specificity of the Seeplex® Diarrhea-V ACE Detection kit mentioned above are for rotavirus only.

conclusionsThe higher sensitivity and multiplex nature of the Seeplex® Diarrhea-V ACE Detection kit make it suitable for surveillance of enteric viruses circulating in Kenya. However, its higher cost, longer turnaround time and complexity favor well-resourced clinical labs and research applications. The Premier™ Rotaclone®, on the other hand, had a higher specificity, shorter turnaround time, and lower cost making it more attractive for clinical work in low complexity labs in austere regions of the country. It is important to continuously evaluate assay platforms' performance, operational cost, turnaround time, and usability in different settings so as to ensure quality results that are useful to the patients and public health practitioners.

Indexed as

DiarrheaEIAEPSPCRqRT-PCRRotavirusRT-PCR

Identifiers

PMID31346474
PMCPMC6631878

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LicenceCC BY
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Registered trials

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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.