Evidence map›Paper›PMID 38243399›Full record

ReviewClinical trials (London, England)2024

Statistical and practical considerations in planning and conduct of dose-optimization trials.

Ying Yuan, Heng Zhou, Suyu Liu

Abstract readReview
In one paragraph

Review in Clinical trials (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Generalized Pairwise Comparisons in Dose Optimization Oncology Trials: Beyond Safety to Multi-outcome Dose Selection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Utility-Based Dose Selection for Stereotactic Body Radiation Therapy in Hepatocellular Carcinoma.International journal of radiation oncology, biology, physics · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Practical Considerations for Using the TITE-BOIN Design to Handle Late-Onset Toxicity or Fast Accrual in Phase I Trials.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  11. Posterior Predictive Design for Phase I Clinical Trials.Journal of the American Statistical Association · 2025
    Article
  12. Article
  13. Article
  14. Review
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.

Ying YuanDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-3163-480X
Heng ZhouBiostatistics and Research Decision Sciences, Merck and Co., Inc, Rahway, NJ, USA.
Suyu LiuDepartment of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. Food and Drug Administration launched Project Optimus with the aim of shifting the paradigm of dose-finding and selection toward identifying the optimal biological dose that offers the best balance between benefit and risk, rather than the maximum tolerated dose. However, achieving dose optimization is a challenging task that involves a variety of factors and is considerably more complicated than identifying the maximum tolerated dose, both in terms of design and implementation. This article provides a comprehensive review of various design strategies for dose-optimization trials, including phase 1/2 and 2/3 designs, and highlights their respective advantages and disadvantages. In addition, practical considerations for selecting an appropriate design and planning and executing the trial are discussed. The article also presents freely available software tools that can be utilized for designing and implementing dose-optimization trials. The approaches and their implementation are illustrated through real-world examples.

Indexed as

Maximum Tolerated DoseResearch DesignClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDose-Response Relationship, DrugHumansSoftwareUnited StatesUnited States Food and Drug Administrationadaptive designbenefit–risk trade-offOptimal doseProject Optimus

Identifiers

PMID38243399
PMCPMC11134987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.