The epidemiological profile of the Vascular Birthmark Clinic at the Alberta Children's Hospital
Bibliographic record
Abstract
BACKGROUND: The Vascular Birthmark (VBM) Clinic at the Alberta Children's Hospital (Calgary, Alberta) is a multidisciplinary clinic dedicated to the evaluation of children with vascular anomalies. OBJECTIVE: To review the characteristics of patients seen at the VBM Clinic. METHOD: A retrospective data analysis of all pediatric patients presenting to the VBM Clinic between 1998 and 2009 was performed. Data including demographic, referring, diagnostic and treatment information were obtained from the clinic's database. RESULTS: Of 932 patients, 621 with hemangiomas and 311 patients with vascular malformations were found in the database. Hemangiomas were more commonly found in girls (68.5%), and most commonly located on the head and neck (54%), with most patients (72.6%) having only one lesion. Of the patients with hemangiomas, 14.7% underwent diagnostic imaging investigation and 23.7% received treatment including medications, surgery, pulsed-dye laser or dressings. The sex distribution among the 311 patients with vascular malformations was almost equal. Venous malformations accounted for 38.9% of patients, isolated capillary malformations for 31.5%, lymphatic malformations for 11.6%, mixed low-flow malformations for 14.8% and arteriovenous malformations for 2.9%. Overall, 37.9% of patients underwent diagnostic imaging investigation and 42.4% received treatment - either pulsed-dye laser, surgical excision, sclerotherapy or other treatment. CONCLUSIONS: Hemangiomas and vascular malformations can occur at any anatomical site. There is a large variation in clinical presentation necessitating expertise in a variety of diagnostic approaches and treatment modalities. Vascular anomalies are best managed in a multidisciplinary setting.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".