Evidence map›Paper›PMID 36534891›Full record

ArticleJournal of the National Cancer Institute2023

Dose optimization during drug development: whether and when to optimize.

Edward L Korn, Jeffrey A Moscow, Boris Freidlin

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Review
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  11. Review
  12. Totality of the Evidence: Optimizing Dosage Selection Strategies in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Posterior Predictive Design for Phase I Clinical Trials.Journal of the American Statistical Association · 2025
    Article
  17. Article
  18. Review
  19. Backfilling Patients in Phase I Dose-Escalation Trials Using Bayesian Optimal Interval Design (BOIN).Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  20. Novel Clinical Trial Designs with Dose Optimization to Improve Long-term Outcomes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Edward L KornBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-3298-437X
Jeffrey A MoscowCancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.
Boris FreidlinBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-2359-8063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of dose optimization during drug development is to identify a dose that preserves clinical benefit with optimal tolerability. Traditionally, the maximum tolerated dose in a small phase I dose escalation study is used in the phase II trial assessing clinical activity of the agent. Although it is possible that this dose level could be altered in the phase II trial if an unexpected level of toxicity is seen, no formal dose optimization has routinely been incorporated into later stages of drug development. Recently it has been suggested that formal dose optimization (involving randomly assigning patients between 2 or more dose levels) be routinely performed early in drug development, even before it is known that the experimental therapy has any clinical activity at any dose level. We consider the relative merits of performing dose optimization earlier vs later in the drug development process and demonstrate that a considerable number of patients may be exposed to ineffective therapies unless dose optimization is delayed until after clinical activity or benefit of the new agent has been established. We conclude that patient and public health interests may be better served by conducting dose optimization after (or during) phase III evaluation, with some exceptions when dose optimization should be performed after activity shown in phase II evaluation.

Indexed as

Drug DevelopmentResearch DesignDose-Response Relationship, DrugHumansMaximum Tolerated Dose

Identifiers

PMID36534891
PMCPMC10165487

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.