Bibliographic record
Abstract
Objective: To determine the maximum-tolerated dose ( MTD) , toxicity profile and and recommendation dose of elemene in phase II clinical trial. Methods: Patients with advanced cancers were assigned into cohorts of three participants at each dose level. Initial dosage participants were intravenously infused with was 750 mg·d-1 . The following cohort of participants was treated with an increased dose of 250 mg of elemene. The maximum cohort of participant was infused with a dose of up to 2 000 mg daily. Each cohort of participants was treated once daily for 5 days and then had a break for 2 days, totaling a 28-day cycle of therapy. Sequential dose levels were studied in the absence of dose-limiting toxicity (DLT) in the previous level. The toxicities were evaluated based on Word Health Organization Toxicity Grading Scale together with National Cancer Institute of Canada Common Toxicity Criteria (NCIC-CTC). Results; A total of 19 advanced cancer patients was enrolled in the trial. The most common treatment-emergent adverse effects were increases of triglyceride (TG) and total cholesterol (CHOL) levels. Other adverse events included febrile non-neutropenia, gastro-intestinal dysfunction and leucopoenia. No correlation was found between the toxicities with the dose level. A clinically defined MTD was not reached e-ven up to dose of 2 000 mg·d-1 . Conclusion; Elemene was well tolerated in the trial setting and the recommendation dose of phase II trial was 1 250 mg·d-1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".