The dilemma of wounds in chronic oedema/lymphoedema
Bibliographic record
Abstract
Recent research on an international level has reported a high prevalence of wounds of diverse aetiology in patients with chronic leg oedema/lymphoedema. Multiple factors contribute to the development of wounds, delayed wound healing, and/or to the development of oedema in these patients. Due to the complex nature of these conditions, they can present a diagnostic and therapeutic challenge for the clinician. Despite the efforts and recommendations over the past decades that support compression therapy as the core intervention to reduce oedema and stimulate wound healing, a substantial percentage of the patients have been shown not to have well-controlled oedema. In this clinical paper, we provide the link between wounds and chronic oedema/lymphoedema, and highlight important factors to remember in the assessment and management of these patients, to provide a holistic, individualised and realistic care plan. Generating research is challenging and requires research design for complex interventions to achieve an evidence-based approach for this complex group of patients.
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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 | 0.016 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".