Factors influencing arm and axillary symptoms after treatment for node negative breast carcinoma
Bibliographic record
Abstract
BACKGROUND: The purpose of the current study was to identify the factors that contribute to postoperative arm symptoms following breast conserving surgery in a well-defined cohort of node negative breast carcinoma patients. METHODS: A convenience sample of 370 women >/= 50 years of age with node negative breast carcinoma who were participants in a randomized controlled trial designed to assess the need for breast radiation in addition to tamoxifen were surveyed. Axillary dissection was optional for patients 65 years or older and who were clinically node negative. RESULTS: A total of 65.1% (241/370) of women had ipsilateral shoulder or arm symptoms. Multivariate analysis revealed that axillary dissection, breast radiation, and younger age (odds ratio = 11.2, 1.65, and 3.8 respectively) were significantly (P < 0.05) associated with increased ipsilateral shoulder or arm symptoms. Treatment with axillary dissection and breast radiation were significant factors (P < 0.02) associated with the self-reporting of arm swelling (odds ratio = 4.4 and 2.0, respectively). Patients 70 years old or greater reported significantly fewer arm symptoms (odds ratio = 0.26, P < 0.05) after axillary dissection. CONCLUSIONS: Arm symptoms were present in about 80% of patients who underwent breast conserving surgery, axillary dissection, and breast radiation in the current study. These symptoms were significantly associated with the use of axillary dissection, breast radiation, and younger age. Older patients experienced fewer arm symptoms after standard treatment for node negative breast carcinoma, and thus older age should not be a contraindication to axillary dissection.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".