Bibliographic record
Abstract
The omission of radiotherapy after breast-conserving surgery for early-stage breast cancer is associated with higher rates of relapse and a slightly higher mortality rate, according to a study in the January 21 issue of the Journal of the National Cancer Institute. Many studies have shown that women with early-stage breast cancer who have breast-conserving surgery followed by radiotherapy have similar survival rates as women who have a mastectomy, and those women are also spared the disfiguration of losing their breast. However, radiotherapy prolongs the length of time that women are treated for breast cancer, the treatment can be costly, radiotherapy facilities are not common in all areas, and there are some side effects to radiotherapy. For these reasons, several studies have examined the consequences of omitting radiotherapy from the treatment regimen. Vincent Vinh-Hung, M.D., of the Oncology Center at Academic Hospital in Jette, Belgium, and colleagues performed a pooled analysis of 15 randomized clinical trials of women with early-stage breast cancer who underwent breast-conserving surgery alone or surgery followed by radiotherapy. They analyzed recurrence rates based on information from 9,422 women, and mortality information was available for 8,206 women. The authors calculated that the women who received breast-conserving surgery alone were three times more likely to have a relapse than women who had breast-conserving surgery followed by radiotherapy. (In clinical trials that had 5 or more years of follow-up information, the relapse rate ranged from 0.4% to 2.1% per year for women who received breast-conserving surgery and radiotherapy, compared with 1.4% to 5.7% per year among women who only had surgery.) The authors also calculated that the omission of radiotherapy resulted in an 8.6% relative excess of deaths. “The present study confirms that radiotherapy should not be omitted after breast-conserving surgery, except for medical contraindications such as systemic vascular disease or a previous history of irradiation,” the authors conclude. In an editorial, Katherine A. Vallis, M.D., Ph.D., and Ian F. Tannock, M.D., Ph.D., of Princess Margaret Hospital, Toronto, note that, although there may be a small subset of women with good prognostic factors who do not need to have radiotherapy after surgery, this analysis “reinforces the view that the large majority of patients undergoing breast-conserving surgery should also receive radiotherapy.” ### Contacts: • Claire Verschraegen, University of New Mexico Cancer Research and Treatment Center, Albuquerque, 505-272 6760, cverschraegen@salud.unm.edu; Vincent Vinh-Hung, Oncology Center at Academic Hospital, Jette, Belgium, +32 2 477 6041, conrvhgv@az.vub.ac.be • Editorial: Vince Rice, Princess Margaret Hospital, (416) 946-4501, ext. 5771; vince.rice@uhn.on.ca Citations: • Vinh-Hung V, Verschraegen C, for the Breast Conserving Surgery Project. Breast-conserving surgery with or without radiotherapy: pooled-analysis for risks of ipsilateral breast tumor recurrence and mortality. J Natl Cancer Inst 2004;96:115–21. • Vallis KA, Tannock IF. Postoperative radiotherapy for breast cancer: growing evidence for an impact on survival. J Natl Cancer Inst 2004;96:88–9. Note: The Journal of the National Cancer Institute is published by Oxford University Press and is not affiliated with the National Cancer Institute. Attribution to the Journal of the National Cancer Institute is requested in all news coverage. Visit the Journal online at http://jncicancerspectrum.oupjournals.org/.
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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 | 0.004 | 0.015 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.013 |
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".