Phase II trial with carboplatin/gemcitabine (Cb/G) induction chemotherapy (CT) followed by radiotherapy concomitantly with paclitaxel/gemcitabine (P/G) in stage III non small cell lung cancer (NSCLC): Preliminary report
Bibliographic record
Abstract
7122 Background: The optimal combination of concomitant thoracic radiotherapy (TRT) and CT in stage III unresectable NSCLC remains unclear. The role of induction CT with Cb/G, regimen less toxic than Cisplatin/G, has not been studied in stage III NSCLC. Methods: Forty-two patients (pts), 41 evaluable, entered this trial between January 2003 and November 2004, 27 males, 14 females, median age 60 (37–70), 19 pts with ECOG PS 0, 22 pts with PS 1, 22 pts with stage III A (N2), and 19 pts with stage III B (N2, N3). They received Cb AUC 5 i.v. on day 1 and G 1000 mg/m2 i.v. on days 1 + 8 every three weeks x 2 cycles, followed on day 50 by TRT, 60 Gy over 6 weeks, concomitantly with P 50 mg/m2 i.v. and G 100 mg/m2 i.v. on days 1 + 8 every three weeks x 2 cycles. Results: Of first 38 evaluable pts, after induction chemotherapy, partial response (PR) was 74% (28 pts), stable disease (SD) 24% (9 pts), and 2% (1 pt) had progressive disease (PD). After TRT and P/G, 21% (8 pts) had CR, 74% (28 pts) PR, and 5% (2 pts) PD. Thirty pts are still alive, 13 pts surpassed one year. Toxicity of induction CT was minimal. During TRT + CT, grade 3 neutropenia, thrombocytopenia, and anemia occurred in 8 pts, 3 pts, and 3 pts respectively with grade 4 neutropenia and thrombocytopenia in one pt each. Nine pts received red cell transfusions, and one pt had platelet transfusion. Three pts had grade 3 esophagitis, two pts grade 3 infections, and one pt grade 3 dermatitis and elevation of liver enzymes. Conclusion: This regimen is effective and well tolerated and appears to be an excellent choice for stage III NSCLC. Sponsored by Eli Lilly Canada. No significant financial relationships to disclose.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.004 | 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".