Evidence map›Paper›PMID 35472751›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2022

SARS-CoV-2 cycle threshold (Ct) values predict future COVID-19 cases.

Matthew C Phillips, David Quintero, Noah Wald-Dickler, Paul Holtom, Susan M Butler-Wu

Abstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  8. Comparison of a Commercial SARS-CoV-2 Rapid Antigen Test with Real-Time PCR.Infectious diseases & clinical microbiology · 2024
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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

5 authors.

Matthew C PhillipsLos Angeles County + University of Southern California (LAC+USC) Medical Center, Los Angeles, CA.
David QuinteroLos Angeles County + University of Southern California (LAC+USC) Medical Center, Los Angeles, CA.
Noah Wald-DicklerLos Angeles County + University of Southern California (LAC+USC) Medical Center, Los Angeles, CA.
Paul HoltomLos Angeles County + University of Southern California (LAC+USC) Medical Center, Los Angeles, CA.
Susan M Butler-WuLos Angeles County + University of Southern California (LAC+USC) Medical Center, Los Angeles, CA; Department of Pathology and Laboratory Medicine, Keck School of Medicine of USC, Los Angeles, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAnticipating local surges in COVID-19 cases has predominantly been based on observation of increasing cases. We sought to determine if temporal trends in SARS-CoV-2 Cycle threshold (Ct) values from clinical testing were predictive of future cases.

methodsData were collected from a large, safety-net hospital in Los Angeles, California. Ct values for all SARS-CoV-2 detections by the GeneXpert system (Cepheid) between October 2020 to March 2021 were analyzed.

resultsA total of 2,114 SARS-CoV-2-positive samples were included. Cases increased dramatically in December 2020, peaking the first week of January, before returning to pre-surge numbers by mid-February. Ct values fell during this same period, with values in December and January (25.6 ± 7.8 and 27±7.9, respectively) significantly lower than those of the other months (30±9.3 to 37.7 ± 6.3). Average weekly Ct values for all patients negatively correlated with the number of tests run two weeks in the future (r= -0.74, p<0.0001), whereas Ct values for asymptomatic patients negatively correlated most strongly with total number of tests performed one month later (r= -0.88, p<0.0001). Predictive modeling using these Ct values correctly predicted whether cases would increase or decrease 65% of the time for a subsequent surge (May-July 2021).

conclusionsDuring the largest COVID-19 surge in Los Angeles to date, we observed significantly lower Ct values (representing higher levels of viral RNA) suggesting that increased transmission of COVID-19 was temporarily associated with higher viral loads. Decreasing Ct values appear to be a leading indicator for predicting future COVID-19 cases, which can facilitate improved hospital-level surge planning.

Indexed as

COVID-19SARS-CoV-2HumansRNA, ViralSerologic TestsViral LoadRNA, ViralCOVID-19Ct valueEpidemiological dynamicsSARS-CoV-2Viral load

Identifiers

PMID35472751
PMCPMC8990441

What OpenQuestion holds

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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.