Obesity is a Risk Factor for Developing Postoperative Lymphedema in Breast Cancer Patients
Bibliographic record
Abstract
Lymphedema (LE) is a well-known postoperative complication after axillary node dissection (ALND). Although, sentinel lymph node dissection (SLND) involves more focused surgery and less disruption of the axilla, early reports show up to 13% of patients experience some symptoms of LE. The purpose of this study was to determine predictors of arm LE in our patients under going SLND with or without an ALND. One hundred and thirty-seven breast cancer patients were treated at a comprehensive cancer center. Prospective measurement of arm volume was carried every 6 months from date of diagnosis. This data base was retrospectively reviewed for tumor stage, treatment, and subjective complaints of LE. Objective LE was defined as a change greater than 200 mL compared with the control arm. Univariate and multivariate analyses were performed. Arm volume changes were measured over 24 months (median follow-up 20 months) in 137 women: 82 stage I, 48 stage II, and 5 stage III; median age 56 years. Breast-conserving surgery was performed in 133 patients. All patients underwent SLND for axillary staging and for 52 patients this was the only axillary staging procedure. All node-positive patients (31) and 54 node-negative patients under went an immediate completion ALND, the latter as part of a study protocol. At 24 months, 16 (11.6%) patients were found to have objective LE (>200 mL increase). Patient age, tumor size, number of nodes harvested, or adjuvant chemotherapy was not found to be predictive of LE by univariate analysis. The risk of developing postoperative LE was primarily and significantly related to the patients' BMI (p = 0.003). Multivariate analysis revealed patients with a BMI >30 (obese) had an odds ratio of 2.93 (95% CI 1.03-8.31) compared with those with a BMI of <25 of having LE. Symptomatic LE (SLE), as defined by patient complaints was recorded in six of the above 16 patients, no SLE was recorded in patients without objective signs of edema. Univariate subgroup analysis compared the symptomatic to the nonsymptomatic patients and revealed the median number of nodes removed was higher in the symptomatic patients (17 verses 9, p = 0.045); however, these patients had a lower BMI (p = 0.0012). The mean change in arm volume was not significantly different between the groups. SLE occurs in one third of patients with objective arm swelling and most likely is multi-factorial in etiology. Although patients undergoing SLN were recorded as having objective LE, none reported SLE. The development of LE within 2 years of surgery is associated with the patient's BMI and this should be considered in preoperative counseling.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".