Evidence map›Paper›PMID 38783551›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Development of a SARS-CoV-2 viral dynamic model for patients with COVID-19 based on the amount of viral RNA and viral titer.

Daichi Yamaguchi, Ryosuke Shimizu, Ryuji Kubota

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

3 authors.

Daichi YamaguchiClinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan.ORCID 0009-0007-9455-5638
Ryosuke ShimizuClinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan.ORCID 0000-0001-9666-8678
Ryuji KubotaClinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan.ORCID 0000-0003-1979-4472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The target-cell limited model, which is one of the mathematical modeling approaches providing a quantitative understanding of viral dynamics, has been applied to describe viral RNA profiles of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in previous studies. However, these models have been developed mainly using patient data from the early phase of the pandemic. Furthermore, no reports focused on the profiles of the viral titer. In this study, the dynamics of both viral RNA and viral titer were characterized using data reflecting the current clinical situation in which the Omicron variant has become epidemic and vaccines for SARS-CoV-2 have become available. Consecutive data for 5212 viral RNA levels and 5216 viral titers were obtained from 720 patients with coronavirus disease 2019 (COVID-19) in a phase II/III study for ensitrelvir. Our model assumed that productively infected cells would produce only infectious viruses, which could be transformed into non-infectious viruses, and has been used to describe the dynamics of both viral RNA levels and viral titer. The time from infection to symptom onset (t

Indexed as

COVID-19RNA, ViralSARS-CoV-2Viral Load2019-nCoV Vaccine mRNA-1273COVID-19 VaccinesHumansModels, BiologicalModels, Theoretical2019-nCoV Vaccine mRNA-1273COVID-19 VaccinesRNA, Viral

Identifiers

PMID38783551
PMCPMC11330184

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.