Examining Obesity in Lymphedema: A Retrospective Study of 178 New Patients with Suspected Lymphedema at a Canadian Hospital-Based Clinic
Bibliographic record
Abstract
Purpose: Physiotherapists have an important role to play in the early detection and treatment of lymphedema, a chronic inflammatory condition characterized by excess interstitial protein-rich fluid, which is estimated to affect more than one million Canadians. Obesity has been identified both as an important cause of and as a risk factor for developing lymphedema of various aetiologies. Little is currently known about obesity in Canadians affected by lymphedema. The objective of this study was to report on the prevalence of overweight and obesity in a Canadian lymphedema clinic population and the relationships among BMI; demographic, medical, and lymphedema characteristics; and cellulitis history. Method: We conducted a retrospective electronic record review of the clinical data collected from new patients evaluated for suspected lymphedema at a specialized Canadian hospital-based clinic over a 2-year period. We used descriptive analyses to characterize the sample and one-way analysis of variance and χ 2 tests for comparative analyses. Results: Of the 178 patients whose records were reviewed, 36.5% were classified as overweight and 39.3% as obese. Patients with non-cancer diagnoses had a higher mean BMI than those with cancer-related diagnoses ( p < 0.001). A higher BMI was associated with a longer time since lymphedema onset ( p < 0.001), bilateral lymphedema ( p = 0.010), and history of cellulitis ( p < 0.001). Conclusions:Obesity is prevalent in the Canadian population with lymphedema and is associated with delayed referral and increased cellulitis rates. Early detection and tailored management strategies are needed to address obesity in patients with lymphedema and the complexities associated with these two related conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".