A Case of Langerhans Cell Histiocytosis With Risk Organ Involvement in a Young Adult
Bibliographic record
Abstract
Multisystem Langerhans cell histiocytosis (MS-LCH) is a rare disease for which the standard of care has not been clearly established. We are the first to address frontline and salvage options for the management of an adolescent young adult (AYA) male with MS-LCH with “risk organ” involvement, a population for which there are no therapeutic guidelines. Our 33-year-old male patient presented with MS-LCH with generalized lymphadenopathy, hepatic and splenic involvement. He was initially treated with vinblastine and prednisolone with progression in disease. Our exploration of the literature revealed that salvage options in adults include single-agent chemotherapy, hematopoietic stem cell transplant, imatinib, and vemurafenib and are limited to small case series with questionable efficacy. We opted to use a pediatric regimen with the combination of cladribine and cytarabine and demonstrate that this approach can in fact be effective in an AYA patient. J Hematol. 2014;3(4):107-111 doi: http://dx.doi.org/10.14740/jh161w
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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".