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Record W2159318526 · doi:10.14740/wjon838w

Temozolomide and Reirradiation in Recurrent Grade II Brain Glioma

2014· article· en· W2159318526 on OpenAlexvenueno aff
Mohammed A. Osman

Bibliographic record

VenueWorld Journal of Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsTemozolomideMedicineNauseaGliomaRadiation therapyVomitingDacarbazineMagnetic resonance imagingPhases of clinical researchInternal medicineSurgeryOncologyToxicityChemotherapyRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: This phase II trial was designed to assess the response rate, survival benefits and toxicity profile of temozolomide, and brain reirradiation using conformal radiotherapy (CRT) for recurrent grade II brain glioma. Between February 2006 and June 2009, 18 patients with recurrent low grade glioma, and two with recurrent ependymoma were enrolled in the study. Patients had to show unequivocal evidence of tumor recurrence on gadolinium-enhanced magnetic resonance imaging after failing conventional radiotherapy for initial disease. METHODS: /day for previously treated patients, for 4 - 5 cycles. Then, patients underwent reirradiation by CRT at a dose of 30 - 40 Gy by conventional fractionation. RESULTS: All the 20 patients were treated with temozolomide and reirradiation. Two patients achieved complete remission, and six achieved partial remission, with an overall objective response rate of 40%. The mean overall survival (OS) was 16 months (range, 6 - 24 months). The median OS was 15.5 months. Additionally, treatment significantly improved quality of life. Treatment was tolerated well with mild grade 1, 2 hematological toxicities, and nausea/vomiting in 15% and 39% of cycles, respectively. CONCLUSIONS: Temozolomide and CRT had an anti-tumor activity in recurrent grade II brain glioma, and represented a good treatment hope for such patients.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.320
Teacher spread0.299 · 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 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

Citations3
Published2014
Admission routes1
Has abstractyes

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