Bibliographic record
Abstract
PURPOSE: The purpose of this study was to identify the clinical characteristics of mixed arteriovenous leg ulcers (MLU) that differentiated them from venous leg ulcers (VLU). DESIGN: Secondary analysis of data from larger electronic database. SUBJECTS AND SETTING: The sample comprised 1007 persons with lower extremity ulcers. Two hundred sixty three individuals with MLU were compared to 744 individuals with VLU; their ankle brachial indices were 0.51-0.90 and 0.91-.30 respectively. Subjects were drawn from community care settings from across Canada. METHODS: Data concerning baseline demographic and pertinent clinical characteristics including ulcer history were collected using multiple validated instruments. The Leg Ulcer Assessment Tool was used to collect demographic and pertinent medical history, The Short Form Health Survey 12 and the Euro Wuol 5D (EQ-5D) were used to measure health related quality of life, the numeric pain scales was used to measure character and intensity of pain. Groups were compared using χ or Mann-Whitney U. RESULTS: Individuals with MLU were significantly older, has lower body mass index, a history of smoking, and more comorbid conditions than subjects with VLU. In many cases, clinical presentation was indicative of significant arterial insufficiency including cool extremities, shiny, cracked and inelastic skin, impaired capillary refill, and weak pedal pulses. Ulcer pain was highly prevalent, but overall pain rating was similar between groups. Mixed arteriovenous leg ulcers were associated with lower health related quality of life, greater mobility impairments, and more deficits in self-care and usual activities. CONCLUSION: Greater knowledge and understanding of the distinct characteristics of MLU is critical for appropriate screening, prevention, assessment and management of persons with this form of leg ulcer. Pain and health related quality of life factors are important considerations when evaluating and managing these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".