Propranolol versus Prednisone in the Treatment of Infantile Hemangiomas: A Retrospective Comparative Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The goal of the current study was to compare the clinical effectiveness of oral propranolol with that of oral prednisone in the treatment of infantile hemangiomas (IH). Patients treated for IH with oral propranolol were retrospectively matched with patients treated with oral prednisone according to type, location, and size of the IH and age at start of treatment. Response to treatment was evaluated by rating serial medical photographs taken 1, 2, and 6 months after initiation of treatment. Degree of clinical improvement in overall appearance (including color and size) was rated as follows: worse or stable (0), slight (<25%), moderate (25-50%), good (50-75%), or excellent (>75%). A second assessment was done using a 100-mm visual analog scale to rate improvement at 6 months. Pre and post-treatment imaging was available for several patients. Twelve pairs of infants with IH were analyzed. At 1 month, clinical improvement in the propranolol group was moderate to good in all patients. In the prednisone group, only one patient had moderate improvement, with others showing slight (7/12) or no improvement or stabilization (3/12) from baseline and one case worsening. At 6 months, the propranolol group showed good to excellent response in all cases, whereas nine in the prednisone group showed slight to moderate response. Doppler ultrasound and magnetic resonance imaging correlated with the clinical improvement in the cases in which it was performed. No major side effects were observed in either group. Propranolol appears superior to oral prednisone in inducing more-rapid and greater clinical improvement in this study. A larger prospective study comparing these two treatment modalities is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it