Evidence map›Paper›PMID 21895036›Full record

ArticleClinical pharmacokinetics2011

Impact of pharmacometric analyses on new drug approval and labelling decisions: a review of 198 submissions between 2000 and 2008.

Joo Yeon Lee, Christine E Garnett, Jogarao V S Gobburu, Venkatesh A Bhattaram, Satjit Brar, Justin C Earp, Pravin R Jadhav, Kevin Krudys, Lawrence J Lesko, Fang Li and 7 more

Abstract read
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Article in Clinical pharmacokinetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

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  4. Exposure-Response of Veliparib to Inform Phase II Trial Design in Refractory or Relapsed Patients with Hematological Malignancies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
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  7. Review
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  9. Article
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  12. Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
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  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Joo Yeon LeeDivision of Pharmacometrics, Office of Clinical Pharmacology, US Food and Drug Administration, Silver Spring, MD, USA. jooyeon2.lee@fda.hhs.gov
Christine E Garnett
Jogarao V S Gobburu
Venkatesh A Bhattaram
Satjit Brar
Justin C Earp
Pravin R Jadhav
Kevin Krudys
Lawrence J Lesko
Fang Li
Jiang Liu
Rajnikanth Madabushi
Anshu Marathe
Nitin Mehrotra
Christoffer Tornoe
Yaning Wang
Hao Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacometric analyses have become an increasingly important component of New Drug Application (NDA) and Biological License Application (BLA) submissions to the US FDA to support drug approval, labelling and trial design decisions. Pharmacometrics is defined as a science that quantifies drug, disease and trial information to aid drug development, therapeutic decisions and/or regulatory decisions. In this report, we present the results of a survey evaluating the impact of pharmacometric analyses on regulatory decisions for 198 submissions during the period from 2000 to 2008. Pharmacometric review of NDAs included independent, quantitative analyses by FDA pharmacometricians, even when such analysis was not conducted by the sponsor, as well as evaluation of the sponsor's report. During 2000-2008, the number of reviews with pharmacometric analyses increased dramatically and the number of reviews with an impact on approval and labelling also increased in a similar fashion. We also present the impact of pharmacometric analyses on selection of paediatric dosing regimens, approval of regimens that had not been directly studied in clinical trials and provision of evidence of effectiveness to support a single pivotal trial. Case studies are presented to better illustrate the role of pharmacometric analyses in regulatory decision making.

Indexed as

Decision Support TechniquesClinical Trials as TopicDose-Response Relationship, DrugDrug LabelingDrugs, InvestigationalHumansInvestigational New Drug ApplicationModels, BiologicalUnited StatesUnited States Food and Drug AdministrationDrugs, Investigational

Identifiers

What OpenQuestion holds

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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.