Evidence map›Paper›PMID 38634071›Full record

ArticleIJID regions2024

SARS-CoV-2 variant typing using real-time reverse transcription-polymerase chain reaction-based assays in Addis Ababa, Ethiopia.

Wodneh G/Meskel, Kassu Desta, Regasa Diriba, Mahlet Belachew, Martin Evans, Vlademir Cantarelli, Maritza Urrego, Abay Sisay, Atsbeha Gebreegziabxier, Adugna Abera

Abstract read
In one paragraph

Article in IJID regions, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Wodneh G/MeskelDepartment of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Kassu DestaDepartment of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Regasa DiribaDepartment of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Mahlet BelachewMalaria and Neglected Tropical Diseases Research Team, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Martin EvansGlobal Public Health Programs, American Society for Microbiology, Washington, USA.
Vlademir CantarelliGlobal Public Health Programs, American Society for Microbiology, Washington, USA.
Maritza UrregoGlobal Public Health Programs, American Society for Microbiology, Washington, USA.
Abay SisayDepartment of Medical Laboratory Sciences, College of Health Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Atsbeha GebreegziabxierHIV and TB Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Adugna AberaMalaria and Neglected Tropical Diseases Research Team, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to determine the SARS-CoV-2 variants in the first four COVID-19 waves using polymerase chain reaction (PCR)-based variant detection in Addis Ababa, Ethiopia. Methods: A cross-sectional study was conducted using repository nasopharyngeal samples stored at the Ethiopian Public Health Institute COVID-19 testing laboratory. Stored positive samples were randomly selected from the first four waves based on their sample collection date. A total of 641 nasopharyngeal samples were selected and re-tested for SARS-CoV-2. RNA was extracted using nucleic acid purification instrument. Then, SARS-CoV-2 detection was carried out using 10 μl RNA and 20 μl reverse transcription-PCR fluorescent mix. Cycle threshold values <38 were considered positive. Results: A total of 374 samples qualified for B.1.617 Lineage and six spike gene mutation variant typing kits. The variant typing kits identified 267 (71.4%) from the total qualifying samples. Alpha, Beta, Delta, and Omicron were dominantly identified variants from waves I, II, III, and IV, respectively. From the total identified positive study samples, 243 of 267 (91%) of variants identified from samples had cycle threshold values <30. Conclusions: The study data demonstrated that reverse transcription-PCR-based variant typing can provide additional screening opportunities where sequencing opportunity is inaccessible. The assays could be implemented in laboratories performing SARS-CoV-2 molecular testing.

Indexed as

Ct valueEthiopiaSARS-CoV-2VariantsWhole genome sequence

Identifiers

PMID38634071
PMCPMC11021353

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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.