Dose escalation of gemcitabine concomitant with radiation and cisplatin for nonsmall cell lung cancer
Bibliographic record
Abstract
BACKGROUND: The current study was conducted to evaluate the maximum tolerable dose of weekly gemcitabine administered simultaneously with radiation and cisplatin in patients with locally advanced nonsmall cell lung cancer (NSCLC). METHODS: Patients with stage IIIA/B NSCLC received concurrently 63 grays radiation and 20 mg/m² cisplatin Day 1 to 3 in Weeks 1 and 5, plus weekly gemcitabine at escalating doses (150-700 mg/m²) on Fridays after radiation to avoid radiosensitization. The authors assessed dose-limiting toxicities according to Common Toxicity Criteria. The primary endpoint was maximum tolerated dose (MTD) of gemcitabine. Tumor resectability, survival, and disease-free survival (DFS) were also determined. RESULTS: Forty-two patients were accrued, of whom 95% received radiation and 66% cisplatin as above. Weekly doses of gemcitabine were escalated to 700 mg/m². Grade 3 dysphagia and 1 case of fatal, probably treatment-related pulmonary deterioration established the MTD of gemcitabine at 550 mg/m² weekly. Twenty-five patients underwent surgery, and histopathological complete regression was documented in 26% of these patients. Overall, median actuarial survival and DFS were 23.8 and 12.4 months, respectively. CONCLUSIONS: Gemcitabine at doses up to 550 mg/m² weekly can be given simultaneously with radiation and cisplatin to patients with locally advanced NSCLC. Radical resection thereafter is feasible. The impact of this aggressive therapy should be evaluated further.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".