MétaCan
Menu
Back to cohort

Rheumatoid arthritis‐associated inflammatory leg ulcers: a new treatment for recalcitrant wounds

2004· article· en· W2087662542 on OpenAlexaff
Sunita Coelho, Marlena Amarelo, Siobhán Ryan, Madhuri Reddy, R. Gary Sibbald

Bibliographic record

VenueInternational Wound Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsHealth Sciences CentreWomen's College HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePyoderma gangrenosumRheumatoid arthritisVasculitisDermatologyArthritisEtiologyDiseaseVenous leg ulcerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Patients with rheumatoid arthritis may develop leg ulcers of varied aetiologies, including venous disease, infection and inflammation (vasculitis or pyoderma gangrenosum). The leg ulcers in rheumatoid arthritis patients may involve several of these aetiological factors and are often difficult to heal. Both the ulcers and the treatments are often painful, and these ulcers may be present for years. A new oxidised regenerated cellulose and collagen dressing has been developed for slow-to-heal wounds and may have a role in the management of superficial inflammation that may persist in many of these ulcers, although clinically it is difficult to distinguish this from critical colonisation or frank infection. Venous disease requires compression therapy. Deep compartment infection should be treated with systemic antimicrobials, and inflammatory processes extending beyond the superficial wound base require disease-specific systemic anti-inflammatory agents. Four patients with recalcitrant wounds resistant to best practice were treated successfully with this new dressing combined with a strategy to control bacterial burden.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.778

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 head0.033
GPT teacher head0.323
Teacher spread0.290 · 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 designOther design
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

Citations25
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueInternational Wound JournalSame topicWound Healing and TreatmentsFrench-language works237,207