Phase III Trials of Targeted Anticancer Therapies: Redesigning the Concept
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Randomized phase III trials provide the gold-standard evidence for the approval of new drugs: an experimental treatment is compared with the current standard of care to identify clinically relevant differences in a predefined endpoint. However, there are several problems relating to the current role of phase III trials in drug development including the limited clinical benefit observed for some approved agents, the necessity for large trials to detect these differences, the inability of such trials to identify rare but important toxicities, and high cost. The design of phase III trials evaluating drug combinations, and those including biomarkers, presents additional challenges. Here, we review these problems and suggest that phase III trials with adaptive designs in selected prescreened populations could reduce these limitations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.164 | 0.574 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.014 | 0.003 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it