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Record W2106409709 · doi:10.1586/era.09.128

Current developments in the radiotherapy approach to elderly and frail patients with glioblastoma multiforme

2009· review· en· W2106409709 on OpenAlexaff
Wilson Roa, James Z. Xing, Cormac Small, Rolf D. Kortmann, Rene Miriamanoff, Paul Okunieff, Yuta Shibamoto, Branislav Jeremić

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2009
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineTemozolomideGlioblastomaRadiation therapyOncologyQuality of life (healthcare)ChemotherapyInternal medicineRandomized controlled trialClinical trial

Abstract

fetched live from OpenAlex

The benefit of postoperative radiotherapy (RT) has been demonstrated in elderly patients aged 65 years or older with glioblastoma multiforme. Hypofractionated RT schedules can reduce the time and morbidity of treatment while maintaining comparable survival outcomes to lengthy conventional RT. Current international randomized clinical trials are studying the optimized hypofractionated RT regimens, hypofractionated RT in comparison with temozolomide chemotherapy and hypofractionated RT in comparison with the same RT plus temozolomide. Given the guarded prognosis of the elderly and frail patients, quality of life and side effects of treatment should be closely examined. As more than half of cancers in the world occur in developing countries, hypofractionated RT could be better utilized as a cost-effective treatment for this group of 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.032
GPT teacher head0.363
Teacher spread0.331 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2009
Admission routes1
Has abstractyes

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