Evidence map›Paper›PMID 35072934›Full record

ArticleMolecular diagnosis & therapy2022

Evaluation of Factors that Affect the Performance of COVID-19 Molecular Assays Including Presence of Symptoms, Number of Detected Genes and RNA Extraction Type.

Liron Jerbi, Maya Azrad, Avi Peretz

Abstract read
In one paragraph

Article in Molecular diagnosis & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors.

Liron Jerbi *Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Maya Azrad *Clinical Microbiology Laboratory, The Baruch Padeh Medical Center, Poriya, Tiberias, Israel.
Avi PeretzAzrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel. aperetz@poria.health.gov.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsRapid and accurate detection of COVID-19 is crucial for mitigation of the pandemic. We evaluated the performance of six molecular kits and the effect of several factors on the performance of the kits. MATERIALS AND

methodsTwo hundred and four nasopharyngeal samples were collected from participants aged ≥18 years at the Baruch Padeh Medical Center Poriya, Israel, between June and August 2020. Samples were tested by: Allplex 2019-nCOV Assay (Seegene), Real-Time Fluorescent RT-PCR Kit for Detecting SARS-2019-nCoV (BGI Genomics), Xpert

resultsXpert

conclusionsTaken together, most assays had overall good performance. Since several factors affect the performance of kits, each laboratory must be familiar with its kit's limitations in order to produce the most reliable results.

Indexed as

COVID-19AdolescentAdultHumansPandemicsRNASARS-CoV-2Sensitivity and SpecificityRNA

Identifiers

PMID35072934
PMCPMC8784860

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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.