Yellowish nodular changes in infants – juvenilexanthogranuloma and xanthoma
Bibliographic record
Abstract
Juvenile xanthogranuloma (JXG) is the most often occurring representative of a very rare group of disorders classified as non-Langerhans cell histiocytosis.It is most frequently diagnosed in children patients under the age of 1 year, but it can occur in every age group [1][2][3][4].The character of the lesions is usually benign and of a very good prognosis, the changes often undergo spontaneous remission.Xanthomas appear as a result of cholesterol and triglyceride accumulation in the tissues, most often in the skin, subcutaneous tissue and tendon sheaths.It is usually directly connected with hypercholesterolemia or hypertriglyceridemia [5][6][7][8][9].Both abovementioned skin disorders, xanthoma and juvenile xanthogranuloma, are classified within a very wide group of cutaneous changes called xanthodermatoses.The most important characteristic of this group, easily distinguished during physical examination, is yellowish colour of the lesions that is a result of a substance accumulating in the skin (e.g.lipids) characterized by visible light reflection at wavelengths of 570-590 nm [10].A 7-month-old girl sought medical attention in an outpatient dermatology clinic because of yellowish nodular changes located on her left cheek, on the brachial region -a lesion on the right arm, on the back and in the groin area.The lesions persisted for more than 3 months and the last change was noticed in the groin area 7 days before the medical appointment.During physical examination the occurrence of dome-shaped, well-demarcated, several millimetres in diameter, painless and non-itching nodules was observed.Besides, the girl was suffering from no other disorders, was taking no medications permanently and was under no medical specialist's care.The child was caesarean-born in the first pregnancy and received 10 points in APGAR score.The
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.012 | 0.005 |
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".