Evidence map›Paper›PMID 34331834›Full record

ArticleCPT: pharmacometrics & systems pharmacology2021

Application of quantitative systems pharmacology to guide the optimal dosing of COVID-19 vaccines.

Mario Giorgi, Rajat Desikan, Piet H van der Graaf, Andrzej M Kierzek

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

4 authors.

Mario GiorgiCertara QSP, Certara UK Limited, Sheffield, UK.ORCID https://orcid.org/0000-0001-7763-8545
Rajat DesikanCertara QSP, Certara UK Limited, Sheffield, UK.ORCID https://orcid.org/0000-0002-0785-8187
Piet H van der GraafCertara QSP, Certara UK Limited, Sheffield, UK.ORCID https://orcid.org/0000-0003-1314-3484
Andrzej M KierzekCertara QSP, Certara UK Limited, Sheffield, UK.ORCID https://orcid.org/0000-0002-2605-9057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal use and distribution of coronavirus disease 2019 (COVID-19) vaccines involves adjustments of dosing. Due to the rapidly evolving pandemic, such adjustments often need to be introduced before full efficacy data are available. As demonstrated in other areas of drug development, quantitative systems pharmacology (QSP) is well placed to guide such extrapolation in a rational and timely manner. Here, we propose for the first time how QSP can be applied in the context of COVID-19 vaccine development.

Indexed as

COVID-19COVID-19 VaccinesDrug Dosage CalculationsHumansSystems BiologyCOVID-19 Vaccines

Identifiers

PMID34331834
PMCPMC8420530

What OpenQuestion holds

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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.