Evidence map›Paper›PMID 41738335›Full record

ArticleImmunity, inflammation and disease2026

Cycle Threshold (Ct) Value Trends in COVID-19: Analyzing Gender, Age, and Severity Factors Across Major Waves in India.

Rudra Kumar Pandey, Vandana, Shailesh Desai, Prashanth Suravajhala, Gyaneshwer Chaubey

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rudra Kumar PandeyGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, India.ORCID https://orcid.org/0000-0002-0995-923X
VandanaDepartment of Biosciences, Manipal University Jaipur, Jaipur, Rajasthan, India.
Shailesh DesaiGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, India.
Prashanth SuravajhalaDepartment of Biosciences, Manipal University Jaipur, Jaipur, Rajasthan, India.
Gyaneshwer ChaubeyGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, India.

Funding

This study is supported by the ICMR ad hoc grants (2021-6389) and (2021-11289).
6 · The paper itself

Abstract

objectivesThis study investigates the variations in cycle threshold (Ct) values from RT-PCR tests across different COVID-19 waves, age groups, and genders to assess their correlation with viral load, disease severity, and epidemiological indicators in India.

methodsWe analysed a data set of 53,485 confirmed COVID-19 cases, categorizing Ct values across three major COVID-19 waves, age groups, and genders. Non-parametric statistical tests were applied to compare Ct values, and linear regression analysis was conducted to evaluate the association between Ct values and COVID-19 epidemiological indicators.

resultsCt values varied significantly across COVID-19 waves, with the highest values in the first wave, the lowest in the second, and intermediate values in the third. Children exhibited the highest Ct values, while the elderly had the lowest. Females showed significantly lower Ct values than males. A negative correlation was observed between Ct values and COVID-19 cases and deaths, indicating that lower Ct values reflected higher viral loads and more severe outbreaks.

conclusionsThese findings highlight Ct values as a useful predictive marker for viral load and disease severity. Monitoring Ct values can enhance public health strategies by informing pandemic response efforts and resource allocation.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingSARS-CoV-2AdolescentAgedAge FactorsChildChild, PreschoolFemaleHumansIndiaInfantMaleSeverity of Illness IndexSex FactorsViral LoadCOVID‐19Ct valueRT‐PCRSARS‐CoV‐2viral load

Identifiers

PMID41738335
PMCPMC12933256

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