Evidence map›Paper›PMID 37111697›Full record

ReviewPharmaceutics2023

ADME, Pharmacokinetic Scaling, Pharmacodynamic and Prediction of Human Dose and Regimen of Novel Antiviral Drugs.

Tridib Chaira, Chandru Subramani, Tarani Kanta Barman

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Biological sex differences in pharmacokinetics and adverse drug reactions.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    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 at 2 institutions in 2 countries.

Tridib ChairaDepartment of Pharmacology, SGT University, Gurugram 122505, Haryana, India.
Chandru SubramaniDepartment of Pathology, Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX 77550, USA.ORCID 0000-0001-5002-3807
Tarani Kanta BarmanDepartment of Pathology, Galveston National Laboratory, University of Texas Medical Branch, Galveston, TX 77550, USA.ORCID 0000-0003-4121-4526
The University of Texas Medical Branch at Galveston · USShree Guru Gobind Singh Tricentenary University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for new drugs is an extremely time-consuming and expensive endeavour. Much of that time and money go into generating predictive human pharmacokinetic profiles from preclinical efficacy and safety animal data. These pharmacokinetic profiles are used to prioritize or minimize the attrition at later stages of the drug discovery process. In the area of antiviral drug research, these pharmacokinetic profiles are equally important for the optimization, estimation of half-life, determination of effective dose, and dosing regimen, in humans. In this article we have highlighted three important aspects of these profiles. First, the impact of plasma protein binding on two primary pharmacokinetic parameters-volume of distribution and clearance. Second, interdependence of primary parameters on unbound fraction of the drug. Third, the ability to extrapolate human pharmacokinetic parameters and concentration time profiles from animal profiles.

Indexed as

ADMEallometric scalinghuman dose extrapolationpharmacokinetics-pharmacodynamicsphysiological time

Identifiers

PMID37111697
PMCPMC10146820
OpenAlexW4365149236

What OpenQuestion holds

Textmetadata
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.