Development of a Clinical Pathway for Atopic Dermatitis Patients: A Case-Based Approach.
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a common chronic skin condition, associated with significant patient morbidity. There are a myriad of excellent evidenced based guidelines to guide clinicians by an extensive review of all the available treatments. However, while well written and complete these papers may not always allow easy transition to clinical application. OBJECTIVE: The purpose of this paper was to develop a practical case-based approach for the treatment and maintenance of AD, enabling translation of guidelines into clinical care. METHODS: After literature searches, selected AD trials and recent existing guidelines were reviewed. Using a nominal group process for consensus, an expert panel of Canadian dermatologists determined the case features and corresponding treatments. RESULTS: A patient focused clinical pathway with 7 cases was developed. For each case scenario, treatment for mild, moderate, and severe disease was recommended. CONCLUSION: A practical case-based clinical pathway was developed for easy clinical application and optimal patient care. J Drugs Dermatol. 2016;15(12):1485-1494.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".