Canadian Consensus Statement for the Management of Venous Leg Ulcers
Bibliographic record
Abstract
To develop a concise Consensus Statement on the management of venous leg ulcers (VLUs) that incorporates existing standards and guidance on new technology, including improvement of calf muscle pump function and the utilisation of advanced wound therapies. A multidisciplinary panel of 19 wound healthcare providers from across Canada, who treat patients with VLUs, was formed. A draft document was created and four rounds of consultation and feedback were sought from the panel. The Consensus Statement was completed in June 2024 with 100% consensus on 20 sections and > 85% consensus on the remaining three sections. The key elements are-Clinical assessment and investigations; Treatment-compression to improve calf muscle pump function, and wound treatment with the principles of Wound Bed Preparation; When not healing or only suboptimal compression can be used - add treatment with muscle pump activator by continuous Neuromuscular Electrical Stimulation of the common peroneal nerve to improve calf muscle pump function; When VLUs are not healing with optimal therapy - an algorithm for the use of advanced wound therapies; and Prevention of VLU recurrence. The Consensus Statement is a concise guide for healthcare providers to use at the bedside and has been endorsed by leading nursing and homecare associations in Canada that also have physician representation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.054 | 0.100 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".