ArticleJournal of applied statistics2025
A novel Phase II single-arm hybrid design to minimize trial duration and enhance subsequent Phase III trial success rate.
Article in Journal of applied statistics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- AI driven network pharmacology: Multi-scale mechanisms of traditional Chinese medicine from molecular to patient analysis.Computational and structural biotechnology journal · 2025Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many Phase III trials fail for lack of significant efficacy for the testing agents although their success has been demonstrated in preceding Phase II trials. One of the major reasons for this discordance is the use of different endpoints in Phase II and III trials, respectively. In oncology clinical trials, tumor response (surrogate endpoint) can be determined quickly whereas survival estimation (direct endpoint) requires a long period of follow-up. To better bridge the gap between two endpoints, we propose a novel two-stage single-arm hybrid design for Phase II trials whereby the percent of tumor size change is used as an initial screening to select potentially effective agents within a short time interval followed by a second screening stage where survival is estimated to confirm the efficacy of agents. This design can improve trial efficiency and reduce cost by early stopping the evaluation of an ineffective agent based on the low percent of tumor size change. The second survival endpoint screening will substantially increase the success rate of the follow-up Phase III trial by using the same endpoint. Simulation studies demonstrated that our novel design has improved in terms of trial efficiency, trial length, and the success rate of following Phase III trials.
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