Modern Treatments for Gliomas Improve Outcome
Bibliographic record
Abstract
Glioma is the most common type of tumor in the central nervous system (CNS). Diagnosis is through history, physical examination, radiology, histology and molecular profiles. Magnetic resonance imaging is a standard workup for all CNS tumors. Multidisciplinary team management is strongly recommended. The management of low-grade gliomas is still controversial with regards to early surgery, radiotherapy, chemotherapy, or watchful waiting watchful waiting. Patients with suspected high-grade gliomas should undergo an assessment by neurosurgeons for the consideration of maximum safe resection to achieve optimal tumor debulking, and to provide adequate tissue for histologic and molecular diagnosis. Post-operative radiotherapy and/or chemotherapy are given depending on disease grade and patient performance. Glioblastoma are mostly considered incurable. Treatment approaches in the elderly, pediatric population and recurrent gliomas are discussed with the latest updates in the literature. Treatment considerations include performance status, neurocognitive functioning, and co-morbidities. Important genetic mutations, clinical trials and guidelines are summarized in this review.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".