Stasis Dermatitis: The Burden of Disease, Diagnosis, and Treatment
Bibliographic record
Abstract
Stasis dermatitis (SD), an inflammatory dermatosis occurring on the lower extremities, is a cutaneous manifestation of chronic venous insufficiency (CVI). SD is associated with a significant burden of disease. Symptoms such as pain, swelling, and itching can be debilitating for patients, leading to poor sleep, loss of mobility, and the inability to perform daily activities, and can interfere with work and leisure activities. Moreover, SD is a progressive disease with serious secondary complications such as ulcerations, which increase the patients' morbidity, reduce their quality of life, and increase health care burden. Challenges in diagnosing patients may have both short- and long-term sequalae for the patients due to unnecessary treatment and management. In addition, misdiagnosis may result in hospitalizations, placing additional burden on health care professionals in terms of time and financial burden on the health care system. Compression therapy and leg elevation represent the mainstay of treatment for CVI; however, it is also difficult to self-manage, which places a substantial burden on patients and caregivers. Moreover, compression therapy may cause discomfort and exacerbate itching. Subsequent nonadherence may result in disease progression that places additional burden on the physicians who manage these patients and the health care system in terms of resources required and costs incurred. A large proportion of patients with SD develop allergic contact dermatitis because of innate immune signals and altered skin barrier predisposing to sensitization to topical prescriptions, over-the-counter medications, and compression devices used to treat SD. Other than topical corticosteroids, there are no approved pharmacological options to treat inflammation in SD.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".