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Record W2050383169 · doi:10.3171/foc.2006.21.5.9

Primary central nervous system lymphoma in children

2006· review· en· W2050383169 on OpenAlexaff
Oussama Abla, Sheila Weitzman

Bibliographic record

VenueNeurosurgical FOCUS · 2006
Typereview
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPrimary central nervous system lymphomaCentral nervous systemPrimary (astronomy)LymphomaMedicineNeuroscienceBiologyImmunologyPhysics

Abstract

fetched live from OpenAlex

Primary central nervous system lymphoma (PCNSL) is a very rare brain tumor in children, and the optimal management and prognosis of such patients have yet to be defined. In this study, the incidence rate, clinical features, diagnosis, and treatment of childhood PCNSL are reviewed. Except for human immunodeficiency virus-related PCNSL, the prognosis for patients with this tumor type is significantly better in children than in adults. In the absence of prospective studies, it is very difficult to determine the true incidence and the best therapeutic strategy for this rare entity. The majority of children with PCNSL, however, can achieve long-term remissions with intensive chemotherapy alone (an estimated 70% 5-year event-free survival rate), and cranial irradiation can be reserved for relapse of the disease. Further progress in the management of childhood PCNSL will require prospective multinational studies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.273
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations31
Published2006
Admission routes1
Has abstractyes

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