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Record W4221107975 · doi:10.1002/pbc.29633

Selumetinib for symptomatic, inoperable plexiform neurofibromas in children with neurofibromatosis type 1: A national real‐world case series

2022· article· en· W4221107975 on OpenAlexafffund
Hallie Coltin, Sébastien Perreault, Valérie Larouche, Karina Black, Bev Wilson, Magimairajan Vanan, Abha A. Gupta, Daniel A. Morgenstern, Patricia C. Parkin, Éric Bouffet, Vijay Ramaswamy

Bibliographic record

VenuePediatric Blood & Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsCancerCare ManitobaUniversity of ManitobaCentre hospitalier universitaire de QuébecCentre Hospitalier Universitaire Sainte-JustineUniversity of TorontoSickKids FoundationUniversity of AlbertaUniversité LavalStollery Children's HospitalHospital for Sick Children
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchSick Kids Foundation
KeywordsMedicineSelumetinibNeurofibromatosisTrametinibPlexiform neurofibromaOncologyDermatologyPopulationMEK inhibitorInternal medicineMAPK/ERK pathwayPediatricsSurgeryCancerNeurofibromaRadiologyKinase

Abstract

fetched live from OpenAlex

Neurofibromatosis type 1-associated plexiform neurofibromas can cause debilitating symptoms and be life threatening. Treatment options are limited, given their tendency to regrow following surgery and their propensity to transform into malignant tumours following radiation. Selumetinib is an oral selective inhibitor of RAS-mitogen-activated protein kinase (MAPK) 1 and 2, which has shown efficacy for tumour shrinkage/stabilisation and symptom improvement. We report a national case series of 19 children treated with selumetinib. All patients experienced symptom improvement or stabilisation with an acceptable toxicity profile, including those patients previously treated with trametinib. This real-world experience confirms previous trials showing significant clinical benefit for this patient population.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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

Citations12
Published2022
Admission routes2
Has abstractyes

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Same venuePediatric Blood & CancerSame topicNeurofibromatosis and Schwannoma CasesFrench-language works237,207