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Record W7117488059 · doi:10.1016/j.wneu.2025.124762

Epidemiology and Long-Term Treatment Outcome of Central Neurocytoma: A Retrospective National Study from Saudi Arabia

2025· article· en· W7117488059 on OpenAlexaff
Osama Khojah, Balgees Ajlan, Maher Hassounah, Badriah Alsabbagh, Mohammed Abdullah Babgi., Bassel A Almehman, Sami Khairy, Moyad Alsalmi, Faisal Farrash, Abdulrahman J. Sabbagh, Ghaida Alkhalifah, Rothaina Saeedi, M. Bin Mahfoodh, Anas Bardeesi, Jamal Abdullah, Mohammed Aldriweesh, Taghreed Alsinani, Abdulrazag Ajlan, Hisham Alkhalidi, Yahya H. Khormi, Ahmed Alkhani, Saleh Baeesa, Ahmed Ammar, Abdulkarim Al Rabie, Yasser Orz, Raniah Alqawahmed, Mahmoud Yamani, Ahmed Lary

Bibliographic record

VenueWorld Neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsEpidemiologyRetrospective cohort studyRadiation therapyResectionOutcome (game theory)MEDLINEKey (lock)

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the clinical features, management, and long-term outcomes of central neurocytoma (CNC). METHODS: A retrospective cohort included all histopathologically confirmed CNC cases treated at 11 tertiary centers in Saudi Arabia from 1996 to 2021. Overall survival (OS) and progression-free survival (PFS) were estimated with Kaplan-Meier and compared with the log-rank test. Postoperative radiation was modeled as a time-dependent exposure to address immortal time bias. Functional outcomes were assessed with the modified Rankin Scale. RESULTS: were associated with poorer OS (P = 0.018) and functional outcomes (P = 0.002). At last follow-up, 81.7% of patients maintained functional independence (modified Rankin Scale ≤ 2). CONCLUSIONS: CNC offers favorable long-term survival and functional outcomes. Maximal safe resection remains the mainstay of treatment, while the benefit of postoperative radiation appears limited. Tumor size remains a key determinant of outcome.

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 score0.003
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.054
GPT teacher head0.341
Teacher spread0.287 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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