Evidence map›Paper›PMID 33824608›Full record

ArticleRisk management and healthcare policy2021

Cycle Threshold Values in the Context of Multiple RT-PCR Testing for SARS-CoV-2.

Daniel Romero-Alvarez, Daniel Garzon-Chavez, Franklin Espinosa, Edison Ligña, Enrique Teran, Francisco Mora, Emilia Espin, Cristina Albán, Juan Miguel Galarza, Jorge Reyes

Abstract read
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Article in Risk management and healthcare policy, 2021. 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
–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

4 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

10 authors.

Daniel Romero-AlvarezBiodiversity Institute and Department of Ecology & Evolutionary Biology, University of Kansas, Lawrence, KS, USA.ORCID 0000-0002-6762-6046
Daniel Garzon-ChavezColegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador.ORCID 0000-0002-8024-3509
Franklin EspinosaDepartamento Microbiología Médica, Hospital IESS Quito Sur, Quito, Ecuador.ORCID 0000-0002-9905-1785
Edison LigñaDepartamento Microbiología Médica, Hospital IESS Quito Sur, Quito, Ecuador.ORCID 0000-0002-5830-1418
Enrique TeranColegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador.ORCID 0000-0001-6979-5655
Francisco MoraDepartamento Microbiología Médica, Hospital IESS Quito Sur, Quito, Ecuador.
Emilia EspinHospital IESS Carlos Andrade Marin, Quito, Ecuador.ORCID 0000-0003-1704-0159
Cristina AlbánHospital IESS Carlos Andrade Marin, Quito, Ecuador.
Juan Miguel GalarzaHospital IESS Carlos Andrade Marin, Quito, Ecuador.ORCID 0000-0002-1797-937X
Jorge ReyesDepartamento Microbiología Médica, Hospital IESS Quito Sur, Quito, Ecuador.ORCID 0000-0002-5215-164X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDischarge or follow up of confirmed coronavirus disease 2019 (COVID-19) cases depend on accurate interpretation of RT-PCR. Currently, positive/negative interpretations are based on amplification instead of quantification of cycle threshold (Ct) values, which could be used as proxies of patient infectiousness. Here, we measured Ct values in hospitalized confirmed COVID-19 patients at different times and its implications in diagnosis and follow up. PATIENTS AND

methodsObservational study between March 17th-May 12th, 2020 using multiple RT-PCR testing. A cohort of 118 Hispanic hospitalized patients with confirmed COVID-19 diagnosis in a reference hospital in Quito, Ecuador. Multiple RT-PCR tests were performed using deep nasal swab samples and the assessment of SARS-CoV-2 genes N, RdRP, and E.

resultsPatients' median age was of 49 years (range: 24-91) with a male majority (62.7%). We found increasing levels of Ct values in time, with a mean Ct value of 29.13 (n = 61, standard deviation (sd) = 5.55) for the first test and 34.38 (n = 60, sd = 4), 35.52 (n = 20, sd = 2.85), and 36.12 (n = 6, sd = 3.28), for the second, third, and fourth tests, respectively. Time to RT-PCR lack of amplification for all tests was of 34 days while time to RT-PCR Ct values >33 was of 30 days.

conclusionCycle thresholds can potentially be used to improve diagnosis, management and control. We found that turnover time for negativity can be large for hospitalized patients and that 11% cases persisted with infectious Ct values for more time than the current isolation recommendations.

Indexed as

coronavirusCOVID-19cycle thresholdsdiagnosispandemicRT-PCRSARS-CoV-2

Identifiers

PMID33824608
PMCPMC8018360

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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.