Phase III Trial Comparing Radical Radiotherapy With and Without Cisplatin Chemotherapy in Patients With Advanced Squamous Cell Cancer of the Cervix
Bibliographic record
Abstract
PURPOSE: To test the hypothesis that cisplatin (CDDP) administered concurrently with standard radiotherapy (RT) would improve pelvic control and survival in patients with advanced squamous cell cancer of the cervix. PATIENTS AND METHODS: A total of 259 patients with International Federation of Gynecology and Obstetrics stage IB to IVA squamous cell cervical cancer with central disease greater-than-or-equal 5 cm or histologically confirmed pelvic lymph node involvement were randomized to receive RT (external-beam RT plus brachytherapy) plus weekly CDDP chemotherapy (40 mg/m(2)) (arm 1) or the same RT without chemotherapy (arm 2). RESULTS: A total of 253 patients were available for analysis. Median follow-up was 82 months. No significant difference was found in progression-free survival (P =.33). No significant difference in 3- and 5-year survival rates was found (69% v 66% and 62% v 58%, respectively; P =.42). The hazard ratio for survival (arm 2 to arm 1) was 1.10 (95% confidence interval, 0.75 to 1.62). CONCLUSION: This study did not show a benefit to either pelvic control or survival by adding concurrent weekly CDDP chemotherapy in a dose of 40 mg/m(2) to radical RT as given in this trial. Careful attention to RT details is important for achieving optimum outcome for patients with this disease.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".