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Record W2809211258 · doi:10.1093/neuonc/noab140

Characteristics of patients ≥10 years of age with diffuse intrinsic pontine glioma: a report from the International DIPG/DMG Registry

2021· article· en· W2809211258 on OpenAlexaff
Craig Erker, Adam Lane, Brooklyn Chaney, Sarah Leary, Jane E. Minturn, Ute Bartels, Roger J. Packer, Kathleen Dorris, Nicholas G. Gottardo, Katherine E Warren, Alberto Broniscer, Mark W. Kieran, Xiaoting Zhu, Peter S. White, Phillip J. Dexheimer, Katie Black, Anthony L. Asher, Mariko DeWire‐Schottmiller, Jordan R. Hansford, Sridharan Gururangan, Javad Nazarian, David S. Ziegler, Eric Sandler, Allison L. Bartlett, Stewart Goldman, Chie‐Schin Shih, Tim Hassall, Hetal Dholaria, Pratiti Bandopadhayay, Yvan Samson, Michelle Monje, Paul G. Fisher, Andrew Dodgshun, Sarah Parkin, Murali Chintagumpala, Karen Tsui, David Gass, Valérie Larouche, Emmett Broxson, Mercedes García Lombardi, Stacie Shiqi Wang, Jie Ma, Cynthia Hawkins, Dima Hamideh, Lars M. Wagner, Carl Koschmann, Christine Fuller, Rachid Drissi, Blaise V. Jones, James Leach, Maryam Fouladi

Bibliographic record

VenueNeuro-Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversité LavalUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineSickKids FoundationDalhousie UniversityUniversity of TorontoHospital for Sick ChildrenIzaak Walton Killam Health Centre
FundersNational Institute of Neurological Disorders and Stroke
KeywordsMedicineATRXYoung adultRadiological weaponIDH1PediatricsGliomaInternal medicineOverall survivalSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Diffuse intrinsic pontine gliomas (DIPG) generally occur in young school-age children, although can occur in adolescents and young adults. The purpose of this study was to describe clinical, radiological, pathologic, and molecular characteristics in patients ≥10 years of age with DIPG enrolled in the International DIPG Registry (IDIPGR). METHODS: Patients ≥10 years of age at diagnosis enrolled in the IDIPGR with imaging confirmed DIPG diagnosis were included. The primary outcome was overall survival (OS) categorized as long-term survivors (LTS) (≥24 months) or short-term survivors (STS) (<24 months). RESULTS: Among 1010 patients, 208 (21%) were ≥10 years of age at diagnosis; 152 were eligible with a median age of 12 years (range 10-26.8). Median OS was 13 (2-82) months. The 1-, 3-, and 5-year OS was 59.2%, 5.3%, and 3.3%, respectively. The 18/152 (11.8%) LTS were more likely to be older (P < .01) and present with longer symptom duration (P < .01). Biopsy and/or autopsy were performed in 50 (33%) patients; 77%, 61%, 33%, and 6% of patients tested had H3K27M (H3F3A or HIST1H3B), TP53, ATRX, and ACVR1 mutations/genome alterations, respectively. Two of 18 patients with IDH1 testing were IDH1-mutant and 1 was a LTS. The presence or absence of H3 alterations did not affect survival. CONCLUSION: Patients ≥10 years old with DIPG have a median survival of 13 months. LTS present with longer symptom duration and are likely to be older at presentation compared to STS. ATRX mutation rates were higher in this population than the general DIPG 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.263
Teacher spread0.249 · 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 teacher head, 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

Citations23
Published2021
Admission routes1
Has abstractyes

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