Evidence map›Paper›PMID 37016620›Full record

ArticleJournal of clinical virology plus2023

Comparison of Real-time RT-PCR cycle threshold (Ct) values with clinical features and severity of COVID-19 disease among hospitalized patients in the first and second waves of COVID-19 pandemic in Chennai, India.

Sudhakar Natarajan, Mohan Ranganathan, P L Natarajan, Manohar Nesakumar, S Anbalagan, K Lucia Precilla, H Hemalatha, M Kannan, G Narendran, S Mahalakshmi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical virology plus, 2023. 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
1.0field-weighted citation impact, top 27% 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, 5 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

14 authors at 1 institution in 1 country.

Sudhakar NatarajanDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
Mohan RanganathanDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
P L NatarajanDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
Manohar NesakumarDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
S AnbalaganDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
K Lucia PrecillaDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
H HemalathaDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
M KannanDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
G NarendranDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
S MahalakshmiGovernment Corona Hospital (GCH), Guindy, Chennai, Tamil Nadu 600 032, India.
Gomathi KarmegamGovernment Corona Hospital (GCH), Guindy, Chennai, Tamil Nadu 600 032, India.
Lakshmi PrakashGovernment Corona Hospital (GCH), Guindy, Chennai, Tamil Nadu 600 032, India.
K NarayanasamyGovernment Corona Hospital (GCH), Guindy, Chennai, Tamil Nadu 600 032, India.
Luke Elizabeth HannaDepartment of Virology and Biotechnology, Indian Council of Medical research (ICMR), National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai, Tamil Nadu 600031, India.
National Institute of Research in Tuberculosis · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Real-time reverse transcriptase-polymerase chain reaction (rRT-PCR) of nasopharyngeal/ oropharyngeal swab has been the gold standard test for detection of SARS-CoV-2 infection The relationship between cycle threshold (Ct) values of rRT-PCR and severity of disease remain disputable and not clearly defined in COVID-19. Methodology: This is a single-centered retrospective observational study conducted at Government Corona Hospital (GCH), Guindy, Chennai. In the present study, we compared the Ct value of rRT-PCR from nasopharyngeal swab specimens with a diverse range of symptoms and disease severity among 240 individuals who were hospitalized with COVID-19, viz., mild cases (MC; Results: The study included 240 hospitalized COVID-19 patients with a median age of 52 years (range 21 to 90 years). MC, MSC, and SC all had median Ct values of 25.0 (interquartile range - IQR 20.0 to 30.5), 29.5 (IQR 23.0 to 34.0), and 29.0 (IQR 24 to 37.5) for the Conclusion: We conclude that SARS-CoV-2 Ct values of rRT-PCR alone does not have a role in aiding severity stratification among patients with COVID-19 since the viral dynamics and Ct value may vary due to the emerging variants that occur in different waves of the pandemic.

Indexed as

Co-morbidityCOVID-19COVID-diabetesCt valueRT-PCRSars-CoV-2

Identifiers

PMID37016620
PMCPMC10043973
OpenAlexW4361216480

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.