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Record W2312601577 · doi:10.1097/mph.0b013e3182843b40

Chronic Residual Lesions in Metastatic Medulloblastoma Patients

2013· article· en· W2312601577 on OpenAlexaff
Iris Fried, Annie Huang, Ute Bartels, Uri Tabori, Normand Laperrière, Peter B. Dirks, Éric Bouffet

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineMedulloblastomaMagnetic resonance imagingRadiation therapyRadiologyResidualChemotherapyRetrospective cohort studySurgeryPathology

Abstract

fetched live from OpenAlex

In a retrospective review of 24 metastatic medulloblastoma patients whose treatment included craniospinal irradiation, 5 patients presented with gross residual abnormalities at completion of therapy. This report describes 2 medulloblastoma patients with persistent residual abnormalities on serial follow-up imaging studies. The patients aged 2 and 2.5 years old at the time of diagnosis underwent surgery followed by multiagent chemotherapy. One patient progressed on therapy and underwent salvage craniospinal radiation. The second showed residual tumor on end of treatment imaging and received low-dose craniospinal irradiation. Despite persistent magnetic resonance imaging findings, the patients are alive and well 13 and 7 years after diagnosis with no further treatment applied. The nature of these residual abnormalities is discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.316
Teacher spread0.294 · 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 designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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