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Record W2120929929 · doi:10.1093/jnci/95.9.685

Re: Is Less More? Lessons in Radiation Schedules in Breast Cancer

2003· letter· en· W2120929929 on OpenAlexaff
Timothy J. Whelan, Mark LeVine, JoAnne Julian

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2003
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcMaster UniversityCancer Care Ontario
Fundersnot available
KeywordsBreast cancerMedicineOncologyCancerMedical physicsInternal medicine

Abstract

fetched live from OpenAlex

We thank Drs. Sartor and Tepper for their editorial on our randomized trial of breast irradiation schedules after lumpectomy for women with lymph node-negative breast cancer. They conclude that the use of the shorter approach can produce excellent local control with acceptable cosmesis in carefully selected patients (1). This conclusion is based on questions about the generalizability of the trial results and the possibility of physician bias in the selection of patients for the study. We feel that the methodologic points they have raised are open to question. Patients who fit the inclusion criteria for a trial are screened, and those who satisfy the exclusion criteria are then excluded. The remaining eligible patients are approached for consent. The results of our study are most easily generalized to the population of patients represented by these eligible patients. Data are rarely reported from oncology trials that pertain to the generalizability of trial results. In our trial, the numbers of patients screened, excluded, and randomly assigned to treatment groups were reported. A total of 3732 patients were screened and met the inclusion criteria; 1303 were then excluded (2). The most common reasons for ineligibility were primarily technical or administrative, including an axillary lymph node dissection not performed (29%), the presence of invasive cancer or intraductal cancer at the margin of excision (18%), enrollment in another clinical trial (17%), breast deemed too large for satisfactory radiation (6%), or the inability to commence radiation in a timely fashion (5%). We agree with the authors that the results of this trial do not apply to patients with positive margins of excision or very large breast size. These patients were ineligible for the study. We disagree, however, that the results do not apply to patients with close margins of excision, lobular carcinoma, or estrogen receptor-negative tumors. These patients were included in the trial, and there is no evidence in any of these subgroups that the rapid fractionation schedule was less effective than the longer traditional schedule. The randomized trials that have demonstrated the efficacy of breast irradiation in women who have had breast-conserving surgery dictated that margins had to be free of tumor as an inclusion criterion (3,4). The notion that close margins increase local recurrence is based on small retrospective studies. With respect to ductal carcinoma in situ, we agree that these patients were not included in our trial; hence the results may not directly apply to them. However, it is likely that the shorter radiation schedule would work in a less aggressive stage of disease. Drs. Sartor and Tepper further suggest that one of the reasons for success of the rapid fractionation schedule may be dependent on careful selection of patients with a low likelihood of substantial burden of residual malignant cells in the breast after breast-conserving surgery. With regard to this speculation, women at high risk for local recurrence, who were younger than 50 years and whose tumor was greater than 2 cm in diameter, were eligible for this trial. There was no evidence to suggest that the rapid fractionation schedule was any less effective in any of these subsets, as seen in Table 2 of our article (2). The authors also suggest that, because nearly half of the patients refused randomization, physician bias may have influenced the selection of patients for the trial. It should be pointed out that a consent rate of 50% is typical for most randomized trials and is considered respectable. The main reason for non-consent of eligible patients in this study was patient choice, not physician choice. Potential for selection bias, therefore, is not likely, in our opinion. Drs. Sartor and Tepper point out the potential advantages of accelerated partial breast irradiation techniques, which have not been evaluated in randomized trials. We agree that currently such techniques must be considered experimental. In contrast, the rapid fractionation schedule for whole breast irradiation has already been evaluated in a large randomized trial and shown to provide results similar to standard approaches. It represents an important advance in breast-conserving therapy, providing an effective treatment that is more convenient and less costly. For the reasons stated above, we believe the results of this study are generalizable and should be shared with all women with lymph node-negative breast cancer who fit the eligibility criteria of the trial. It has been estimated that, after breast-conserving surgery, as many as 14%–18% of women per year in the United States may not receive radiation therapy (5,6). The reasons for this are unclear but appear to be related to older age (and as described by the editorialists), health insurance, income, and distance from treatment centers. In such situations, the shorter radiation schedule may improve access and increase the number of women able to receive breast irradiation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.005
Open science0.0020.001
Research integrity0.0410.048
Insufficient payload (model declined to judge)0.0120.006

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.

Opus teacher head0.042
GPT teacher head0.340
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2003
Admission routes1
Has abstractno

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