Evidence map›Paper›PMID 37896765›Full record

ArticleViruses2023

A Flexible Regression Modeling Approach Applied to Observational Laboratory Virological Data Suggests That SARS-CoV-2 Load in Upper Respiratory Tract Samples Changes with COVID-19 Epidemiology.

Laura Pellegrinelli, Ester Luconi, Giuseppe Marano, Cristina Galli, Serena Delbue, Laura Bubba, Sandro Binda, Silvana Castaldi, Elia Biganzoli, Elena Pariani and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Laura PellegrinelliDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0003-2344-6032
Ester LuconiDepartment of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy.ORCID 0000-0001-9912-9370
Giuseppe MaranoDepartment of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy.ORCID 0000-0002-0239-7297
Cristina GalliDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-0450-4156
Serena DelbueDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-3199-9369
Laura BubbaDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
Sandro BindaDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-4495-3183
Silvana CastaldiDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0003-1716-6624
Elia BiganzoliDepartment of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy.ORCID 0000-0003-1202-5873
Elena ParianiDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0001-5681-3455
Patrizia BoracchiDepartment of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background. Exploring the evolution of SARS-CoV-2 load and clearance from the upper respiratory tract samples is important to improving COVID-19 control. Data were collected retrospectively from a laboratory dataset on SARS-CoV-2 load quantified in leftover nasal pharyngeal swabs (NPSs) collected from symptomatic/asymptomatic individuals who tested positive to SARS-CoV-2 RNA detection in the framework of testing activities for diagnostic/screening purpose during the 2020 and 2021 winter epidemic waves. (2) Methods. A Statistical approach (quantile regression and survival models for interval-censored data), novel for this kind of data, was applied. We included in the analysis SARS-CoV-2-positive adults >18 years old for whom at least two serial NPSs were collected. A total of 262 SARS-CoV-2-positive individuals and 784 NPSs were included: 193 (593 NPSs) during the 2020 winter wave (before COVID-19 vaccine introduction) and 69 (191 NPSs) during the 2021 winter wave (all COVID-19 vaccinated). We estimated the trend of the median value, as well as the 25th and 75th centiles of the viral load, from the index episode (i.e., first SARS-CoV-2-positive test) until the sixth week (2020 wave) and the third week (2021 wave). Interval censoring methods were used to evaluate the time to SARS-CoV-2 clearance (defined as Ct < 35). (3) Results. At the index episode, the median value of viral load in the 2021 winter wave was 6.25 log copies/mL (95% CI: 5.50-6.70), and the median value in the 2020 winter wave was 5.42 log copies/mL (95% CI: 4.95-5.90). In contrast, 14 days after the index episode, the median value of viral load was 3.40 log copies/mL (95% CI: 3.26-3.54) for individuals during the 2020 winter wave and 2.93 Log copies/mL (95% CI: 2.80-3.19) for those of the 2021 winter wave. A significant difference in viral load shapes was observed among age classes (

Indexed as

COVID-19AdolescentAdultCOVID-19 VaccinesHumansPharynxRetrospective StudiesRNA, ViralSARS-CoV-2COVID-19 VaccinesRNA, ViralKaplan–Meier curvequantile regressionregression modeling approachSARS-CoV-2 loadupper respiratory tractvaccination

Identifiers

PMID37896765
PMCPMC10610845
OpenAlexW4386996699

What OpenQuestion holds

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LicenceCC BY
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.