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Record W1970579734 · doi:10.1517/14656566.8.18.3133

Management of glioblastoma

2007· review· en· W1970579734 on OpenAlexaboutno aff
Tomokazu Aoki, Nobuo Hashimoto, Masao Matsutani

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2007
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTemozolomideCarmustineLomustineRadiation therapyOncologyGliomaChemotherapyAdjuvantInternal medicineGlioblastomaChemoradiotherapyCancer researchCyclophosphamide

Abstract

fetched live from OpenAlex

Glioblastoma multiforme (GBM) are among the most devastating neoplasms claiming the lives of patients within a median of 1 year after diagnosis. Treatment of GBM requires a multidisciplinary approach. Treatments include surgery, radiotherapy, chemotherapy and so on. Temozolomide (TMZ) has emerged as an active agent against malignant gliomas. On the basis of the work by the European Organisation for Research and Treatment of Cancer/National Cancer Institute of Canada, concurrent radiotherapy and the oral alkylating agent TMZ followed by adjuvant TMZ has become the standard of care for patients with newly diagnosed GBM, although the methylation status of the O(6)-mehylguanine-DNA methyltransferase promoter is predictive for survival of GBM patients. Gliadel is a biodegradable polymer wafer impregnated with carmustine. Gliadel has been one of the few treatment modalities to demonstrate a statistical benefit in patients with malignant glioma. These new FDA approved drugs advanced the treatment of malignant glioma, but more progress is needed. Patients require improvements in chemotherapy, surgery, radiotherapy, molecular targeted therapy, immunotoxin using the convection-enhanced delivery and more.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.101
GPT teacher head0.468
Teacher spread0.366 · 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

Citations48
Published2007
Admission routes1
Has abstractyes

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