Dental disease in type 3 Von Willebrand disease: a neglected problem
Bibliographic record
Abstract
Type 3 Von Willebrand disease (VWD) is a rare, severe, autosomal recessive bleeding disorder. In our institution, we follow 17 children with type 3 VWD. We have observed a high prevalence of dental disease in these patients prompting us to undertake a retrospective review of our cohort of patients with type 3 VWD to catalogue the extent of their dental disease. Sixteen of these patients have been assessed by our dentistry department. Five children have undergone minor dental procedures (e.g. restorations, stainless steel crowns) and seven major procedures (e.g. dental extractions, pulpotomies and root canal treatments). These patients have collectively used 85,400 (ristocetin cofactor) IU of Humate-P on dental procedures alone. In addition to the considerable costs of factor are the cost of operating room time, dentists' costs, and the cost of other topical haemostatic agents (e.g. Tisseel) used during their dental procedures. As such there is considerable morbidity and cost from dental disease in these patients that is much higher than what is seen in patients with haemophilia or in the normal paediatric population. We speculate that the combination of these patients having a significant mucosal bleeding disorder together with various socioeconomic factors contribute to the significant degree of dental disease seen in this group of patients. We would suggest that better preventive dental care needs to be provided to these patients to avoid the considerable morbidity and very high burden of dental disease in type 3 VWD.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".