Evidence map›Paper›PMID 36040645›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2022

Pharmacodynamic model of slow reversible binding and its applications in pharmacokinetic/pharmacodynamic modeling: review and tutorial.

Tianjing Ren, Xu Zhu, Natalie M Jusko, Wojciech Krzyzanski, William J Jusko

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2022. 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
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

5 authors at 3 institutions in 1 country.

Tianjing RenDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, 370 Pharmacy Building, Buffalo, NY, 14214-8033, USA.
Xu ZhuNovartis Institutes for BioMedical Research, Cambridge, MA, 02139, USA.
Natalie M JuskoDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA.
Wojciech KrzyzanskiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, 370 Pharmacy Building, Buffalo, NY, 14214-8033, USA.
William J JuskoDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Buffalo, 370 Pharmacy Building, Buffalo, NY, 14214-8033, USA. wjjusko@buffalo.edu.
University at Buffalo, State University of New York · USNovartis (United States) · USUniversity of Michigan–Ann Arbor · US

Funding

Mechanistic Pharmacokinetics and PharmacodynamicsR35GM131800 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 2019 to 2023
$2.9M
NIGMS NIH HHS R35 GM131800
6 · The paper itself

Abstract

Therapeutic responses of most drugs are initiated by the rate and degree of binding to their receptors or targets. The law of mass action describes the rate of drug-receptor complex association (k

Indexed as

Anti-Allergic AgentsAntihypertensive AgentsKineticsModels, BiologicalAnti-Allergic AgentsAntihypertensive AgentsBiophase modelsIndirect response modelsMathematical modelingPharmacodynamicsReceptor binding kineticsSlow reversible binding

Identifiers

PMID36040645
PMCPMC9578295
OpenAlexW4293589667

What OpenQuestion holds

Textmetadata
LicenceTDM
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.