ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2022
Combining cytotoxic agents with continuous dose levels in seamless phase I-II clinical trials.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- A narrative review of adaptive Phase I/II clinical trial designs for drug combinations in oncology.Frontiers in oncology · 2026Review
- crm12comb: Phase I/II adaptive design for drug combinations based on CRM design through R.PloS one · 2025Article
- A Bayesian adaptive design for dual-agent phase I-II oncology trials integrating efficacy data across stages.Biometrical journal. Biometrische Zeitschrift · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Phase I-II cancer clinical trial designs are intended to accelerate drug development. In cases where efficacy cannot be ascertained in a short period of time, it is common to divide the study in two stages: i) a first stage in which dose is escalated based only on toxicity data and we look for the maximum tolerated dose (MTD) set and ii) a second stage in which we search for the most efficacious dose within the MTD set. Current available approaches in the area of continuous dose levels involve fixing the MTD after stage I and discarding all collected stage I efficacy data. However, this methodology is clearly inefficient when there is a unique patient population present across stages. In this article, we propose a two-stage design for the combination of two cytotoxic agents assuming a single patient population across the entire study. In stage I, conditional escalation with overdose control (EWOC) is used to allocate successive cohorts of patients. In stage II, we employ an adaptive randomization approach to allocate patients to drug combinations along the estimated MTD curve, which is constantly updated. The proposed methodology is assessed with extensive simulations in the context of a real case study.
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Registered trials
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