Evidence map›Paper›PMID 35641907›Full record

ArticleBMC infectious diseases2022

Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection.

Asra Malekshahi, Sayyad Khanizadeh, Shirzad Fallahi, Gholamreza Talei, Mehdi Birjandi, Faezeh Hajizadeh

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Asra MalekshahiDepartment of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Sayyad KhanizadehDepartment of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran. Khanizadeh.s@lums.ac.ir.
Shirzad FallahiHepatitis Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Gholamreza TaleiDepartment of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Mehdi BirjandiDepartment of Biostatistics and Epidemiology, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
Faezeh HajizadehDepartment of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Lorestan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus-2019 (COVID-2019) is a novel coronavirus known as Acute Respiratory Syndrome (SARS-CoV-2). The premier standard test for SARS-CoV-2 diagnosis is a one-step RT-qPCR method, which requires specific probes and reagents. Therefore, detection on a large scale is expensive and cannot be very accurate.

methodsA cost-effective technique based on SYBR green was evaluated in the current study. The specific primers for S and N genes were designed, then performed the cross-reactivity test with other coronavirus and respiratory viruses positive samples. Moreover, the analytical sensitivity test was carried out with 8 dilutions (1:10). Lastly, the SARS-CoV-2 clinical samples (n = 210) were tested by these two methods, and receiver operating characteristic (ROC) analysis was performed to investigate the incremental diagnostic value of each gene in the study methods.

resultsThe two-step method detected up to 6th dilutions of the SARS-CoV-2 samples and did not show any amplification of the positive samples of other respiratory viruses. ROC analysis revealed a diagnostic ability of the two-step method for SARS-CoV-2 with an area under the ROC curve of ≥ 0.7 (P ˂ 0.05) and relatively high sensitivity and specificity. The combination of N and S genes increased the sensitivity up to 88%, specificity up to 86%, and area under the ROC curve up to 0.85 (95% confidence interval (95% CI) 0.72 to 0.93, P = 0.0461).

conclusionOur findings indicated that the two-step method has comparable sensitivity and specificity to the one-step method. Therefore, this method can be considered a potential diagnostic method for diagnosing and monitoring COVID-19 patients. It suggests that when the one-step RT-qPCR method is not available, the two-step RT-qPCR can be used to identify SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansReal-Time Polymerase Chain ReactionSensitivity and SpecificityCOVID-19CurveReal-Time PCRRocSARS-COV-2

Identifiers

PMID35641907
PMCPMC9152310
OpenAlexW4281625416

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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.