World Workshop on Oral Medicine VIII: Development of a core outcome set for oral lichen planus: a consensus study
Bibliographic record
Abstract
ObjectiveA core outcome set (COS) is the minimum agreed-on data set required to be measured in interventional trials. To date, there is no COS for oral lichen planus (OLP). This study describes the final consensus project that brought together the results of the previous stages of the project to develop the COS for OLP.Study DesignThe consensus process followed the Core Outcome Measures in Effectiveness Trials guidelines and involved the agreement of relevant stakeholders, including patients with OLP. Delphi-style clicker sessions were conducted at the World Workshop on Oral Medicine VIII and the 2022 American Academy of Oral Medicine Annual Conference. Attendees were asked to rate the importance of 15 outcome domains previously identified from a systematic review of interventional studies of OLP and a qualitative study of OLP patients. In a subsequent step, a group of OLP patients rated the domains. A further round of interactive consensus led to the final COS.ResultsThe consensus processes led to a COS of 11 outcome domains to be measured in future trials on OLP.ConclusionThe COS developed by consensus will help reduce the heterogeneity of outcomes measured in interventional trials. This will allow future pooling of outcomes and data for meta-analyses. This project showed the effectiveness of a methodology that could be used for future COS development. A core outcome set (COS) is the minimum agreed-on data set required to be measured in interventional trials. To date, there is no COS for oral lichen planus (OLP). This study describes the final consensus project that brought together the results of the previous stages of the project to develop the COS for OLP. The consensus process followed the Core Outcome Measures in Effectiveness Trials guidelines and involved the agreement of relevant stakeholders, including patients with OLP. Delphi-style clicker sessions were conducted at the World Workshop on Oral Medicine VIII and the 2022 American Academy of Oral Medicine Annual Conference. Attendees were asked to rate the importance of 15 outcome domains previously identified from a systematic review of interventional studies of OLP and a qualitative study of OLP patients. In a subsequent step, a group of OLP patients rated the domains. A further round of interactive consensus led to the final COS. The consensus processes led to a COS of 11 outcome domains to be measured in future trials on OLP. The COS developed by consensus will help reduce the heterogeneity of outcomes measured in interventional trials. This will allow future pooling of outcomes and data for meta-analyses. This project showed the effectiveness of a methodology that could be used for future COS development.
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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 | 0.023 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".