Bibliographic record
Abstract
Infantile haemangiomas (IHs) are relatively common benign vascular tumours found in the paediatric population. They have varying sizes and involve different depths in the skin leading to various colours, shapes and textures. Although considered harmless in most cases, they may lead to life-threatening complications or cause permanent disfigurations and organ dysfunction. For problematic IHs, the treatment options include oral and topical beta-blockers, systemic corticosteroids, laser treatment, and surgery. In this narrative review, the treatment options for problematic IH are compared and delivered concisely to facilitate the clinical decisions from practitioners, including those in primary care settings. Oral propranolol is currently considered the first-line intervention for problematic IHs. For superficial lesions, there is robust evidence for the use of topical timolol maleate. Systemic corticosteroids are sometimes used in specific situations such as resistance or contraindications to beta-blockers. Surgical excision can be considered in cases requiring urgent intervention such as airway obstruction; this can be done alongside laser therapies for the removal of residual tissue or when reconstructing areas of deformity. The combination of multiple treatment modalities may lead to a more rapid clinical response.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".