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Record W4409496843 · doi:10.1111/iwj.70415

Canadian Consensus Statement for the Management of Venous Leg Ulcers

2025· article· en· W4409496843 on OpenAlexaffabout
Michael Stacey, R. Gary Sibbald, Robyn Evans, Helen Arputhanathan, Maryse Beaumier, Shannon Handfield, Rosemary Hill, John S. Hwang, Michele Labbie, Michele Langille, Amanda Loney, Allison Luther, Sheri McPhee, Josée Sénéchal, Bev Smith

Bibliographic record

VenueInternational Wound Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsAlberta Health ServicesHealth Sciences NorthSt Joseph's Health CareMcMaster UniversitySt. Joseph's Care GroupFraser HealthLions Gate HospitalCentre intégré de santé et de services sociaux de Chaudière-AppalachesNova Scotia Health AuthorityWomen's College HospitalVancouver Coastal HealthCentre Intégré de Santé et de Services Sociaux des LaurentidesUniversité du Québec à RimouskiUniversity of TorontoHamilton Health Sciences
Fundersnot available
KeywordsMedicineWound careVenous leg ulcerIntensive care medicineHealth careRehabilitationPhysical therapyCompression therapyStatement (logic)Surgery

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.328
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes2
Has abstractyes

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