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Record W4408682481 · doi:10.1080/08880018.2025.2480741

Primary gonadal failure in children with intracranial brain tumors treated with high dose alkylating agents and radiation sparing therapy: an institutional case series

2025· article· en· W4408682481 on OpenAlexaff
Sylvia Cheng, Sarah Riedlinger, Rebecca Ronsley, Laura Stewart, Juliette Hukin, Carol Lam

Bibliographic record

VenuePediatric Hematology and Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineCyclophosphamideRadiation therapyChemotherapyDemographicsEndocrine systemPediatricsInternal medicineHormoneDemography

Abstract

fetched live from OpenAlex

Treatment of young children with brain tumors may require the use of high dose chemotherapy with alkylating agents to avoid craniospinal irradiation. The objective of this study is to describe the probability of primary gonadal failure (PGF) in children with a malignant intracranial tumor treated with high-dose alkylating agents in children diagnosed less than age 8 years who were treated with this radiation-sparing approach at our institution. Patient demographics, oncological and endocrine diagnoses, treatment modalities, and laboratory values were collected. Descriptive statistics, Kaplan Meier survival curves, regression analysis, and T-tests were used in data analysis. Eight of 18 (44%) developed PGF. The probability of developing PGF is 11% at 5 years, and 31% at 10 years. Cyclophosphamide equivalent dose (CED) was higher and duration of follow-up was longer in children with PGF. PGF is common in children who received CED without irradiation, but further studies are needed to correlate CED dose and time to onset of PGF.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.254
Teacher spread0.247 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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