Weight, BSA, Toxicity, and Efficacy of Tyrosine Kinase Inhibitors for ALK-Mutated NSCLC
Bibliographic record
Abstract
Introduction: ALK tyrosine kinase inhibitors (ALK TKIs) are started at a standard dose regardless of patients' weight and body surface area (BSA). In this retrospective analysis, the authors explored whether body size variables were associated with toxicity and efficacy. Methods: positive patients at the Princess Margaret Cancer Centre were extracted from electronic health records. Associations between BSA/weight quartiles and dose reductions (DRs), temporary interruptions (TIs), and permanent discontinuation due to toxicity were evaluated using generalized linear mixed modeling. Survival analysis was conducted using Kaplan-Meier curves and log-rank tests. Results: 0.6). Conclusions: Higher weight and larger BSA at the start of ALK TKI treatment were associated with higher likelihood of toxicity, leading to more DRs and TIs-particularly in males and patients receiving alectinib and lorlatinib. However, weight and BSA were not associated with treatment outcomes.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".