Evidence map›Paper›PMID 32219213›Full record

ReviewACS pharmacology & translational science2019

Analytical Pharmacology: How Numbers Can Guide Drug Discovery.

Terry Kenakin

Open access · greenAbstract readReview
In one paragraph

Review in ACS pharmacology & translational science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Allosteric modulators of MScientific reports · 2024
    Article
  3. Article
  4. AMolecular pharmacology · 2023
    Article
  5. Kinetic analysis of endogenous βBritish journal of pharmacology · 2023
    Article
  6. Article
  7. Article
  8. 15-Keto-PGEThe Journal of biological chemistry · 2020
    Article
  9. Article
  10. ACS pharmacology & translational science · 2019
    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

1 author at 1 institution in 1 country.

Terry KenakinDepartment of Pharmacology, University of North Carolina School of Medicine Chapel Hill, Chapel Hill, North Carolina 27516, United States.
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unique ways in which pharmacological data compares to mathematical models are described. Examples show that insights into agonist action (prediction of agonism

Identifiers

PMID32219213
PMCPMC7088946
OpenAlexW2907567208

What OpenQuestion holds

Textmetadata
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.