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Record W2003595190 · doi:10.1002/pbc.21562

Multiple intracranial tumors in Philadelphia chromosome positive acute lymphoblastic leukemia: Successful treatment following aggressive supportive care, early cranial radiation, high dose chemotherapy and imatinib

2008· article· en· W2003595190 on OpenAlexaff
Geoff D.E. Cuvelier, Aleksander Vitali, Jason C. Ford, David Dix

Bibliographic record

VenuePediatric Blood & Cancer · 2008
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsMedicineIntracranial pressureChemotherapyImatinib mesylateImatinibRadiation therapyOncologySurgeryPediatricsInternal medicineMyeloid leukemia

Abstract

fetched live from OpenAlex

We report the first case of multiple intracranial tumors ("chloromas") at diagnosis of Philadelphia chromosome positive acute lymphoblastic leukemia. The patient presented comatose with signs of cerebral herniation. Initial management of raised intracranial pressure and hyperleukocytosis followed by emergent whole brain radiation therapy reversed the life-threatening neurological signs. High-dose chemotherapy combined with daily imatinib mesylate induced a rapid and sustained bone marrow remission. Ongoing rehabilitation resulted in a near complete neurological recovery within 6 months of diagnosis. This outcome justifies aggressive early management of increased intracranial pressure and hyperleukocytosis in future similar presentations.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.267
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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

Citations10
Published2008
Admission routes1
Has abstractyes

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