Evidence map›Paper›PMID 35325359›Full record

ArticleMolecular biology reports2022

Factors associated with cycle threshold values (Ct-values) of SARS-CoV2-rRT-PCR.

Naila Shoaib, Naila Noureen, Arwa Faisal, Muhammad Zaheer, Muhammad Imran, Ali Ahsan, Rimsha Munir, Nousheen Zaidi

Abstract read
In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Naila ShoaibCancer Biology Lab, Institute of Microbiology and Molecular Genetics (MMG), University of the Punjab, Lahore, Pakistan.
Naila NoureenCancer Biology Lab, Institute of Microbiology and Molecular Genetics (MMG), University of the Punjab, Lahore, Pakistan.
Arwa FaisalInstitute of Microbiology and Molecular Genetics (MMG), University of the Punjab, Lahore, Pakistan.
Muhammad ZaheerInstitute of Microbiology and Molecular Genetics (MMG), University of the Punjab, Lahore, Pakistan.
Muhammad ImranRahila Lab, Lahore, Pakistan.
Ali AhsanRahila Lab, Lahore, Pakistan.
Rimsha Munir *Hormone Lab, Lahore, Pakistan.
Nousheen Zaidi *Cancer Biology Lab, Institute of Microbiology and Molecular Genetics (MMG), University of the Punjab, Lahore, Pakistan. nosheen.mmg@pu.edu.pk.ORCID http://orcid.org/0000-0002-3896-0088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPresented work studies the association of COVID-19 severity, patient demographics, and clinical history with cycle threshold (Ct) values of SARS CoV2-rRT-PCR. We studied the Ct values for Orf1ab, N, and RdRp genes in association with all the factors mentioned above. METHODS AND

resultsWe examined the individuals (n = 6331) that consulted two private diagnostic centers for COVID-19 testing. SARS-CoV-2 was detected by RT-PCR assays using different commercial kits. Clinical and demographic information was collected by the attending health care professional. Ct values were not associated with the age, sex, or clinical history of the patient. Orf1ab and N genes Ct values were only weakly associated with symptoms at the time of the SARS-CoV-2 RT-PCR test. Also, the distributions of Ct values in SARS-CoV-2 positive patients are very similar irrespective of symptomatology.

conclusionWe conclude that the Ct values may have limitations in reliably predicting COVID-19 severity and should be used or reported with caution.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansReverse Transcriptase Polymerase Chain ReactionRNA, ViralRNA, ViralCOVID-19Cycle threshold valuesSARS-CoV-2

Identifiers

PMID35325359
PMCPMC8943503

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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.