Identification of Patient Needs and Preferences in Pigmented Villonodular Synovitis (PVNS) Using a Qualitative Online Bulletin Board Study
Bibliographic record
Abstract
INTRODUCTION: Pigmented villonodular synovitis (PVNS), also known as giant-cell tumour of the tendon sheath (GCTT), is a rare, benign proliferative tumour affecting the inner lining of synovial joints and tendon sheets. Information on treatment needs of PVNS patients to inform drug development is currently scarce. We conducted an exploratory qualitative study with PVNS patients to generate insights into the objective and emotional aspects related to their medical journey and experiences of living with this disease. METHODS: A 4-day study using an online bulletin board (OBB), an asynchronous, online qualitative research platform, was conducted with patients recruited via physician referral who underwent screening questions to ensure eligibility for the study and willingness to participate. The discussion was moderated, was structured and allowed open answers in response to other participants' posts. RESULTS: Eleven patients (4 from the USA, 4 from the UK and 3 from Canada; 45% female), aged 28-57 years, suffering from PVNS for 2-27 years participated in the study. Key patient insights from the study were: (1) pain was the topmost, spontaneous thought that the participants associated with PVNS, constituting a significant emotional and psychological burden; (2) surgery (arthroscopy) did not completely ameliorate symptoms associated with PVNS, as the relapse rate was high in these patients; (3) PVNS has a substantial negative financial impact on patients, their families and the healthcare system; (4) orthopaedic specialists/surgeons predominantly managed PVNS, as surgery is currently the only therapeutic option. CONCLUSION: PVNS patients expressed an urgent need for a medical drug treatment, which can reduce pain, avoid relapses and provide an alternative to surgery, the current standard of care.
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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) | 0.000 | 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".