Evidence map›Paper›PMID 34460115›Full record

ArticleJournal of medical virology2022

High proportion of low cycle threshold value as an early indicator of COVID-19 surge.

Baijayantimala Mishra, Jai Ranjan, Prashanth Purushotham, Swarnatrisha Saha, Poesy Payal, Punyatoya Kar, Sivasankar Das, Vaishnavi Deshmukh

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Baijayantimala MishraDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.ORCID 0000-0002-2604-6678
Jai RanjanDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.ORCID 0000-0002-6229-1240
Prashanth PurushothamDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.ORCID 0000-0001-6615-7973
Swarnatrisha SahaDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Poesy PayalDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Punyatoya KarDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.ORCID 0000-0002-1015-2038
Sivasankar DasDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Vaishnavi DeshmukhDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
All India Institute of Medical Sciences Bhubaneswar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries in the world are experiencing a recent surge in COVID-19 cases. This is mainly attributed to the emergence of new SARS-CoV-2 variants. Genome sequencing is the only means to detect the evolving virus mutants and emerging variants. Cycle threshold values have an inverse relationship with viral load and lower Ct values are also found to be associated with increased infectivity. In this study, we propose to use Ct values as an early indicator for upcoming COVID-19 waves. A retrospective cross-sectional study was carried out to analyze the Ct values of positive samples reported during the first wave and second wave (April 2020-May 2021). Median Ct values of confirmatory genes were taken into consideration for comparison. Ct values below 25, >25-30, and >30 were categorized as high, moderate, and low viral load respectively. Our study found a significantly higher proportion of positive samples with a low Ct value (<25) across age groups and gender during the second wave of the COVID-19 pandemic. A higher proportion of positive samples with a low Ct value (high viral load) may act as an early indicator of an upcoming surge.

Indexed as

COVID-19 Nucleic Acid TestingAdolescentAdultAsymptomatic InfectionsChildChild, PreschoolCOVID-19Cross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedRetrospective StudiesSARS-CoV-2Viral LoadCOVID-19cycle thresholdSARS-CoV-2surgevariants

Identifiers

PMID34460115
PMCPMC8661879
OpenAlexW3198192405

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.