Propranolol in the Management of Infantile Hemangiomas: Clinical Response and Predictors
Bibliographic record
Abstract
BACKGROUND: Recent data suggest that propranolol is an effective treatment for infantile hemangiomas (IHs). Data on the optimal dose, duration of therapy, and predictors of response are currently lacking. OBJECTIVE: To assess the clinical response to and predictors of propranolol use in the treatment of IH. METHODS: Retrospective cohort study of 44 patients. Two independent assessors evaluated improvement by comparing serial digital photographs using a 100 mm visual analogue scale (VAS), where 5 mm change represented 10% change in the size or appearance of the IH. RESULTS: Propranolol was started at a mean age of 7.8 (SD 8.21) months and was used for 7.3 (SD 4.8) months before weaning. The mean percent improvement compared to baseline (as measured by the VAS) was 78% (SD 23%). Minor adverse events were noted in 32% of patients. The most significant predictor of regrowth after weaning was a IH > 5 cm in size (p = .017). CONCLUSIONS: Propranolol is effective in IH, but the side effects and the possibility of regrowth should be considered.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".