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Record W7135021046 · doi:10.1093/neuped/wuaf001.270

OTHR-11. Virtual CNS tumor board rounds within the Canadian Adolescent and Young Adult Neuro-oncology Network (CANON)

2025· article· en· W7135021046 on OpenAlex
Biren M. Dave, Robert Siddaway, Abitha Suthakaran, Mikayla Machado, Natalie Massey, Derek Tsang, Sunit Das, Peter Dirks, Uri Tabori, Cynthia Hawkins, Seth Climans, Mary Jane Lim-Fat, Julie Bennett

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNeuro-Oncology Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity Health NetworkToronto Public HealthHospital for Sick Children
Fundersnot available
KeywordsYoung adultGliomaClinical trialBrain tumorPopulationInstitutional review boardRadiation therapyAtypical teratoid rhabdoid tumor

Abstract

fetched live from OpenAlex

Abstract Central nervous system (CNS) tumors are the leading cause of cancer-related death in the adolescent and young adult (AYA; ages 15 – 39) population. CNS tumors in AYAs are biologically and clinically distinct as they intersect those seen in younger children and older adults, and there is a lack of standardized treatment approaches for such patients. To improve clinical management of this patient population in Canada, virtual AYA CNS tumor boards were established in which a multidisciplinary team of pediatric and adult physicians review challenging cases and make evidence-based suggestions regarding optimal care. From November 2021 to June 2024, 185 AYA CNS tumor patients were presented at biweekly tumor board rounds. Patient medical history and tumor board recommendation information was de-identified, stored in a REDCap database and subsequently analyzed. Concurrent weekly molecular rounds at the Hospital for Sick Children (SickKids) performed genetic and epigenetic analysis of AYA CNS tumors. Most patients presented (n = 138) had a glioma diagnosis, with pediatric diffuse low-grade glioma being the commonest subtype (n = 59). Recommendations made by the AYA CNS tumor board often represented a change in clinical management from the patient’s previous treatment course. A large subset of glioma patients were directed toward clinical trials and targeted agents and were spared further exposure to radiation therapy. Concurrent molecular profiling of 157 AYA gliomas identified targetable genetic alterations including BRAF fusions and FGFR1 fusions and mutations. Feedback from meeting attendees indicated that attending AYA CNS tumor board rounds was a valuable experience. Our work represents an effort to standardize and improve care for AYA CNS tumor patients in Canada through recurring, biweekly interdisciplinary tumor boards. Our results suggest that AYA CNS tumor board recommendations are effective in guiding patients towards clinical trials and targeted agents, and are a valued resource by Canadian clinicians.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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