Development of the Adult Vulvar Lichen Sclerosus Severity Scale—A Delphi Consensus Exercise for Item Generation
Bibliographic record
Abstract
OBJECTIVE: To generate a list of items through international expert consensus consisting of both symptoms and clinical signs for inclusion in an adult vulvar lichen sclerosus severity scale. METHODS: This study was carried out as a three-stage Delphi consensus exercise. After an extensive literature review, any items used to determine disease severity in previous clinical trials were compiled into a survey. The Delphi participants were recruited from the International Society for the Study of Vulvovaginal Disease most of whom were gynecologists and in practice for more than 20 years. Participants were asked to rate the importance of these items. Consensus was defined as 75% agreeing that an item was very important or essential toward determining disease severity. Participants were also asked to indicate preferred method of measurement for these items. RESULTS: Of approximately 400 members of the International Society for the Study of Vulvovaginal Disease, 66 participated in the study. Of the 14 symptoms presented, 7 reached consensus for inclusion. Of the 23 signs presented, 11 reached consensus for inclusion and 1 reached consensus for exclusion. Of the six architectural changes presented, all six reached consensus for inclusion. No consensus was reached regarding method of measurement for any of the symptoms and signs that reached consensus for inclusion. CONCLUSION: International consensus was reached for a variety of items for use in an adult vulvar lichen sclerosus severity scale that will be further developed and tested. Ideally, this scale will be used in clinical practice and in research to allow for high-quality trials.
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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 | 0.107 | 0.094 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".