Evidence map›Paper›PMID 33670360›Full record

ArticleViruses2021

Diagnostic SARS-CoV-2 Cycle Threshold Value Predicts Disease Severity, Survival, and Six-Month Sequelae in COVID-19 Symptomatic Patients.

Mattia Trunfio, Francesco Venuti, Francesca Alladio, Bianca Maria Longo, Elisa Burdino, Francesco Cerutti, Valeria Ghisetti, Roberto Bertucci, Carlo Picco, Stefano Bonora and 2 more

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Systematic Review of the Prevalence of Long COVID.Open forum infectious diseases · 2023
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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

12 authors.

Mattia TrunfioUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.ORCID 0000-0001-8663-719X
Francesco VenutiUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Francesca AlladioUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Bianca Maria LongoUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Elisa BurdinoMicrobiology and Molecular Biology Laboratory, Amedeo di Savoia Hospital, ASL Città di Torino, Corso Svizzera 164, 10149 Torino, Italy.
Francesco CeruttiMicrobiology and Molecular Biology Laboratory, Amedeo di Savoia Hospital, ASL Città di Torino, Corso Svizzera 164, 10149 Torino, Italy.ORCID 0000-0003-0480-8296
Valeria GhisettiMicrobiology and Molecular Biology Laboratory, Amedeo di Savoia Hospital, ASL Città di Torino, Corso Svizzera 164, 10149 Torino, Italy.
Roberto BertucciUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Carlo PiccoRegional Department for Infectious Diseases and Emergency DIRMEI, ASL Città di Torino, Via S. Secondo 29, 10128 Torino, Italy.
Stefano BonoraUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Giovanni Di PerriUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.
Andrea CalcagnoUnit of Infectious Diseases, Department of Medical Sciences, University of Torino at the Amedeo di Savoia Hospital, Corso Svizzera 164, 10149 Torino, Italy.ORCID 0000-0003-2534-8815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, there is no severe acute respiratory syndrome coronavirus 2-(SARS-CoV-2)-specific prognostic biomarker available. We assessed whether SARS-CoV-2 cycle threshold (Ct) value at diagnosis could predict novel CoronaVirus Disease 2019 (COVID-19) severity, clinical manifestations, and six-month sequelae. Hospitalized and outpatient cases were randomly sampled from the diagnoses of March 2020 and data collected at 6 months by interview and from the regional database for COVID-19 emergency. Patients were stratified according to their RNA-dependent-RNA-polymerase Ct in the nasopharyngeal swab at diagnosis as follows: Group A ≤ 20.0, 20.0 < group B ≤ 28.0, and Group C > 28.0. Disease severity was classified according to a composite scale evaluating hospital admission, worst oxygen support required, and survival. Two hundred patients were included, 27.5% in Groups A and B both, 45.0% in Group C; 90% of patients were symptomatic and 63.7% were hospitalized. The median time from COVID-19 onset to swab collection was five days. Lethality, disease severity, type, and number of signs and symptoms, as well as six-month sequelae distributed inversely among the groups with respect to SARS-CoV-2 Ct. After controlling for confounding, SARS-CoV-2 Ct at diagnosis was still associated with COVID-19-related death (

Indexed as

Viral LoadAdultAgedCOVID-19Cross-Sectional StudiesDisease ProgressionFemaleHospitalizationHumansItalyMaleMiddle AgedNasopharynxRetrospective StudiesSARS-CoV-2Severity of Illness IndexCOVID-19cycle thresholdmortalityoutcomespredictive biomarkerSARS-CoV-2 swabsequelaeseverityviral load

Identifiers

PMID33670360
PMCPMC7917896

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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.