Evidence map›Paper›PMID 31254374›Full record

ArticleClinical and translational science2019

Dose Finding in the Clinical Development of 60 US Food and Drug Administration-Approved Drugs Compared With Learning vs. Confirming Recommendations.

Yassine Kamal Lyauk, Daniël Martijn Jonker, Trine Meldgaard Lund

Abstract readComparative Study
In one paragraph

Article in Clinical and translational science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

3 authors.

Yassine Kamal LyaukTranslational Medicine, Ferring Pharmaceuticals A/S, Copenhagen, Denmark.
Daniël Martijn JonkerTranslational Medicine, Ferring Pharmaceuticals A/S, Copenhagen, Denmark.
Trine Meldgaard LundDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review characterizes clinical development that supported the label dose in 60 drug indications recently approved by the US Food and Drug Administration. With Lewis B. Sheiner's Learning vs. Confirming clinical drug development paradigm as a reference point, the clinical development paths, the design of dose-ranging trials, and the dose-exposure-response characterization were examined using US Food and Drug Administration approval packages. It was found that 89% of clinical development programs included several doses in the first-in-patient trial, 43% proceeded directly to confirmatory trials after the first-in-patient trial, and 52% included multiple doses in confirmatory development. A low number of doses and narrow dose ranges were generally included in dose-ranging trials, with only 20% including at least four doses over an at least 10-fold dose range. In a third of approval packages, no dose-response or exposure-response evaluation was identified, and model-based dose-exposure-response characterization was rarely alluded to, as only 2 of 60 approval packages mentioned the use of a model-based approach. The findings suggest that confirmatory development may often be guided more toward learning than confirming, and furthermore that dose exposure response is robustly assessed in only a minority of clinical drug development programs, indicating that there may be room left for optimizing the benefit/risk profile of confirmatory/marketed dose(s). Significant deviation from Learning vs. Confirming may exist in clinical development practice on several levels, and the reasons for why this may be the case are discussed in light of contemporary literature.

Indexed as

Drug ApprovalDrug DevelopmentUnited States Food and Drug AdministrationClinical Trials as TopicDose-Response Relationship, DrugHumansUnited States

Identifiers

PMID31254374
PMCPMC6742935

What OpenQuestion holds

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Registered trials

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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.