Evidence map›Paper›PMID 25545685›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

Lewis Sheiner ISoP/UCSF Lecturer Award: From Drug Use to Statistical Models and Vice Versa.

F Mentré

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Model Description Language (MDL): A Standard for Modeling and Simulation.CPT: pharmacometrics & systems pharmacology · 2017
    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.

F Mentré1] UMR 1137, IAME, INSERM, Paris, France [2] University of Paris Diderot, Sorbonne Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

I was very honored to receive the University of California, San Francisco, and the International Society of Pharmacometrics Lewis Sheiner lecturer award in May 2013. In the present perspective, I outline the main points of my lecture at the American Conference of Pharmacometrics (slides in Supplementary Material 1). I first emphasize the scientific contributions of Lewis Sheiner as a quantitative pharmacologist toward the better use of drugs. I then focus on three statistical topics in pharmacometrics, describing Lewis Sheiner's impact and my own contributions and interactions with him.

Identifiers

PMID25545685
PMCPMC4288004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.