Evidence map›Paper›PMID 33621389›Full record

ArticleTransboundary and emerging diseases2021

Different dynamics of mean SARS-CoV-2 RT-PCR Ct values between the first and second COVID-19 waves in the Madrid population.

Cristina Rodríguez-Grande, Pilar Catalán, Luis Alcalá, Sergio Buenestado-Serrano, Javier Adán-Jiménez, Sandra Rodríguez-Maus, Marta Herranz, Jon Sicilia, Fermín Acosta, Laura Pérez-Lago and 3 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. SARS-CoV-2 cycle threshold (Ct) values predict future COVID-19 cases.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Article
  7. 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

13 authors.

Cristina Rodríguez-GrandeServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Pilar CatalánServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Luis AlcaláServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Sergio Buenestado-SerranoServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.ORCID https://orcid.org/0000-0003-1739-4459
Javier Adán-JiménezServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Sandra Rodríguez-MausServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Marta HerranzServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Jon SiciliaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Fermín AcostaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Laura Pérez-LagoServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.ORCID https://orcid.org/0000-0001-5249-7619
Patricia MuñozServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Darío García de ViedmaServicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.ORCID https://orcid.org/0000-0003-3647-7110
Gregorio Marañón Microbiology-ID COVID 19 Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 RT-PCR cycle threshold values from 18,803 cases (2 March-4 October) in Madrid define three stages: (i) initial ten weeks with sustained reduction in viral load (Ct: 23.4-32.3), (ii) stability with low viral loads (Ct: 31.9-35.5) in the next nine weeks and (iii) sudden increase with progressive higher viral loads until reaching stability at high levels in the next twelve weeks, coinciding with an increased percentage of positive cases and reduced median age. These data indicate differential virological/epidemiological patterns between the first and second COVID-19 waves in Madrid.

Indexed as

COVID-19SARS-CoV-2AnimalsReverse Transcriptase Polymerase Chain ReactionSerologic TestsViral LoadCOVID-19Ctsdynamicsfirst waveRT-PCRSARS-CoV-2second wave

Identifiers

PMID33621389
PMCPMC8014596

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.