Evidence map›Paper›PMID 36811776›Full record

ReviewInfectious diseases and therapy2023

Systematic Review on the Correlation Between SARS-CoV-2 Real-Time PCR Cycle Threshold Values and Epidemiological Trends.

Ester Sala, Isheeta S Shah, Davide Manissero, Marti Juanola-Falgarona, Anne-Marie Quirke, Sonia N Rao

Abstract readReview
In one paragraph

Review in Infectious diseases and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

6 authors.

Ester SalaSTAT-Dx Life, S.L. (a QIAGEN Company), Baldiri Reixac, 4-8, 08028, Barcelona, Spain. ester.sala@qiagen.com.ORCID http://orcid.org/0000-0002-2376-6231
Isheeta S ShahQIAGEN, Inc, 19300 Germantown Road, Germantown, MD, 20874, USA.
Davide ManisseroQIAGEN Manchester Ltd, Skelton House, Lloyd Street North, Manchester, M15 6SH, UK.
Marti Juanola-FalgaronaSTAT-Dx Life, S.L. (a QIAGEN Company), Baldiri Reixac, 4-8, 08028, Barcelona, Spain.
Anne-Marie Quirke3 Stories High (3SH), London, UK.
Sonia N RaoQIAGEN, Inc, 19300 Germantown Road, Germantown, MD, 20874, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to proactively predict the epidemiological dynamics of infectious diseases such as coronavirus disease 2019 (COVID-19) would facilitate efficient public health responses and may help guide patient management. Viral loads of infected people correlate with infectiousness and, therefore, could be used to predict future case rates.

aimIn this systematic review, we determine whether there is a correlation between severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) real-time reverse-transcription polymerase chain reaction (RT-PCR) cycle threshold (Ct) values (a proxy for viral load) and epidemiological trends in patients diagnosed with COVID-19, and whether Ct values are predictive of future cases.

methodsA PubMed search was conducted on August 22 2022, based on a search strategy of studies reporting correlations between SARS-CoV-2 Ct values and epidemiological trends.

resultsData from 16 studies were relevant for inclusion. RT-PCR Ct values were measured from national (n = 3), local (n = 7), single-unit (n = 5), or closed single-unit (n = 1) samples. All studies retrospectively examined the correlation between Ct values and epidemiological trends, and seven evaluated their prediction model prospectively. Five studies used the temporal reproduction number (R

conclusionCt values are negatively correlated with epidemiological trends and may be useful in predicting subsequent peaks in variant waves of COVID-19 and other circulating pathogens.

Indexed as

COVID-19Ct valueEpidemiological trendsRT-PCRSARS-CoV-2Viral load

Identifiers

PMID36811776
PMCPMC9945817

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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.