Neuroblastoma-associated Opsoclonous Myoclonous Ataxia Syndrome: Profile and Outcome Report on 15 Egyptian Patients
Bibliographic record
Abstract
Opsoclonous myoclonous ataxia syndrome (OMAS) is a rare primarily immune-mediated disease in children. The current study aim was to find out the patterns and outcome of OMAS associated with neuroblastoma (NBL) among Children's Cancer Hospital-Egypt patients. Data was reviewed for 15 eligible patients enrolled between 2007 and 2016. OMAS treatment included prednisolone and cyclophosphamide with/without intravenous immunoglobulin; NBL treatment was given according to risk-corresponding protocol. Patients' age ranged from 0.75 to 12 years at presentation with male/female: 1.1/1. Concurrent diagnosis of OMAS and NBL occurred in 6 patients (40%). OMAS preceded NBL within 0.25 to 2 years in 33%, while NBL preceded OMAS within 0.5 to 1.5 years in 27%. Full OMAS picture was present in 10/15 patients, while 20% presented with truncal ataxia and myoclonus, 1 with truncal ataxia and opsoclonus, and 1 had opsoclonus and myoclonus. Median time till improvement of manifestations was 5 months. The 5-year OMAS progression-free survival was 33.3%, where 10 patients needed second-line therapy due to relapse/progression of OMAS. The median time to progression was 28 months measured from OMAS diagnosis. All patients remained alive with NBL 5-year overall survival of 100% and event-free survival of 85.7% for. However, 73% of the patients showed late sequelae ranging from ocular to cognitive, behavioral and motor disorders; rarely seizures and hemolytic anemia.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".