Bibliographic record
Abstract
Objective The aim of this study was to assess the impact of the evolving role of the addition of chemotherapy to postoperative radiotherapy on oncological outcomes and toxicity in patients with early-stage cervical cancer after radical hysterectomy. Methods Retrospective cohort study of patients with stage IB1–IIB FIGO 2009 cervical cancer treated from November 1999 to May 2015 by primary surgery and radiotherapy (46–50.4 Gy in 1.8–2.0 Gy fractions) with or without concurrent cisplatin (40 mg/m2, 5–6 weekly cycles) with or without a brachytherapy boost. Chemotherapy was allocated depending on the risk factors for recurrence. Incidences of all outcomes were calculated using Kaplan–Meier’s methodology and compared by log-rank tests. Risk factors for recurrence and survival were identified using Cox’s proportional hazards models. Results A total of 154 patients were included, median follow-up was 9.6 years (IQR: 6.1–12.8). Five-year pelvic recurrence-free survival was 75.3%; 74.7% in patients with high-risk factors treated with radiotherapy; and 77.3% in those treated with chemoradiation (P=0.43). Distant metastasis-free survival at 5 years was 63.4%; 63.6% in high-risk patients after radiotherapy; and 57.1% after chemoradiation (P=0.36). Five-year overall survival was 63.9%: 66.8% and 51.6% after radiotherapy and after chemoradiation in patients with high-risk factors (P=0.37), respectively. Large tumor size was a risk factor for vaginal and pelvic recurrence, ≥2 involved lymph nodes was a significant risk factor for para-aortic recurrence and death. Mild treatment-related late toxicity was observed in 53.9% of the patients. Five-year severe (grade 3–5) late rectal, bladder, bowel, and vaginal toxicities were, respectively, 1.3%, 0%, 3.4%, and 0.9%. Any late severe toxicity was observed in 5.5% of patients treated with radiotherapy and in 15.3% of those treated with chemoradiation (P=0.07). Conclusion Postoperative (chemo)radiation for early-stage cervical cancer patients with risk factors for recurrence yields adequate pelvic tumor control, but overall survival is limited due to distant metastasis.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.015 |
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".