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Record W2383517143

Phase I clinical tolerance trial of elemene emulsion for injection

2006· article· en· W2383517143 on OpenAlexaboutno aff
Xiangru Zhang

Bibliographic record

VenueZhongguo xin yao zazhi · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineToxicityAdverse effectElemeneCohortInternal medicineClinical trialNeutropeniaGastroenterology
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.405
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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