Evidence map›Paper›PMID 34318621›Full record

ArticleCPT: pharmacometrics & systems pharmacology2021

Pharmacometrics meets statistics-A synergy for modern drug development.

Yevgen Ryeznik, Oleksandr Sverdlov, Elin M Svensson, Grace Montepiedra, Andrew C Hooker, Weng Kee Wong

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Moving the needle for oncology dose optimization: A call for action.CPT: pharmacometrics & systems pharmacology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Pharmacometrics meets statistics-A synergy for modern drug development.CPT: pharmacometrics & systems pharmacology · 2021
    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

6 authors.

Yevgen RyeznikBioPharma Early Biometrics and Statistical Innovation, Data Science & AI, R&D Biopharmaceuticals, AstraZeneca, Gothenburg, Sweden.ORCID 0000-0003-2997-8566
Oleksandr SverdlovEarly Development Analytics, Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA.ORCID 0000-0002-1626-2588
Elin M SvenssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-0093-6445
Grace MontepiedraCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-6866-4335
Andrew C HookerDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-2676-5912
Weng Kee WongDepartment of Biostatistics, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0001-5568-3054

Funding

Statistical and Data Management Center-Pediatric,Adolescent, and Maternal CTGUM1AI068616 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Sean Scott Brummel, Marlene Ann Cooper · 2011 to 2026
$155.6M
NIAID NIH HHS UM1 AI068616
6 · The paper itself

Abstract

Modern drug development problems are very complex and require integration of various scientific fields. Traditionally, statistical methods have been the primary tool for design and analysis of clinical trials. Increasingly, pharmacometric approaches using physiology-based drug and disease models are applied in this context. In this paper, we show that statistics and pharmacometrics have more in common than what keeps them apart, and collectively, the synergy from these two quantitative disciplines can provide greater advances in clinical research and development, resulting in novel and more effective medicines to patients with medical need.

Indexed as

Computer SimulationDrug DevelopmentPharmacologyStatistics as TopicHumansModels, BiologicalCollaborationintegration of fieldsmodel-based adaptive optimal designsmodel-informed drug developmentproblem solving

Identifiers

PMID34318621
PMCPMC8520751

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.