Prevalence and characteristics of lymphoedema at a wound-care clinic
Bibliographic record
Abstract
OBJECTIVE: Lymphoedema is estimated to affect up to 300,000 Canadians but remains underrecognised and undertreated. A retrospective chart review was conducted to determine the clinical characteristics and treatment practices of lymphoedema in a Canadian wound care clinic. METHOD: Data were collected retrospectively from dictated clinic notes of 326 lymphoedema patients at a wound clinic in a regional rehabilitation hospital. RESULTS: The mean age (±SD) of diagnosis was 66.8 (±15.5). Patients had 7.3 (±3.3) comorbidities and took 8.4 (±4.6) concomitant medications. The most common comorbidities were venous disease (73%), hypertension (60%), and obesity (46%). Clinic patients were less likely to be women, have arm lymphoedema, or have cancer-related aetiology compared with previous studies, reflecting a two-tiered model of care delivery in the area. Treatments prescribed by the clinic were consistent best practice recommendations for conservative treatment. CONCLUSION: A significant proportion of the wound clinic's patients had lymphoedema. Lack of resources, lack of awareness among primary care providers, and patient adherence are barriers to lymphoedema care.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".