Pediatric leukemia cutis: A case series
Bibliographic record
Abstract
BACKGROUND: Pediatric leukemia cutis (LC) is often difficult to diagnose due to similarity in appearance to other dermatologic diseases. Several case reports and smaller case series have been published in the medical literature, but studies on larger cohorts of children with LC are lacking. OBJECTIVE: This study aimed to better characterize the clinical features, course, and prognosis of LC in the pediatric population. METHODS: We performed a retrospective case series of 31 patients diagnosed with LC at Boston Children's Hospital and the Children's Hospital of Philadelphia. RESULTS: The number and morphology of LC lesions varied among patients, with the head and lower extremities being the most common sites of involvement. Leukemia cutis presented concomitantly with systemic leukemia in the majority of cases. Most cases of LC arose during initial leukemia episodes, rather than with relapsed leukemia. Acute myeloid leukemia was the subtype most frequently associated with LC, followed by acute lymphoblastic leukemia. Diagnosis altered treatment timing and therapeutic decisions. CONCLUSION: Children most often present concomitantly with LC and systemic leukemia. Since the morphology and distribution of LC varies, physicians must maintain a high index of suspicion for this diagnosis, as the presence of LC may change the management of systemic leukemia.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".