Infantile haemangioma treated with Homoeopathy: A case report
Bibliographic record
Abstract
Introduction: Infantile haemangiomas (IH) are common benign tumours of infancy. Approximately, one in ten infants gets affected. The male-tofemale ratio is variable, with some reports suggesting that females are more prone than males. In India, the prevalence of IH in various studies has been reported as varying from 0.1% to 0.28%. The head and neck are the regions where most of the haemangiomas are located. The lesions are apparent soon after birth and are followed by rapid proliferation during the first year of life and a gradual involution occurs over the next five to ten years. Case summary: This is a case of a six months old female child with IH on the scalp which was completely resolved within two years with homoeopathic treatment. The improvement was assessed using the Vancouver Scar Scale. The photographs of the lesion were taken during treatment to keep track of the progress. The follow-ups were recorded at regular intervals to look for any recurrences and complications. This case clearly exhibits that IHs undergo early resolution under homoeopathic treatment without any adverse effects of the medications. More such case reports and clinical trials are required to illuminate the effectiveness of homoeopathic treatment for the regression of IHs.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| 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".