Bibliographic record
Abstract
BACKGROUND: Malignant gliomas are amongst the most devastating and intractable of all cancers. The most common malignant glioma, glioblastoma multiforme (GBM), is associated with a median survival in the range of 12-15 months. Survival for patients with GBM has improved with the addition of temozolomide chemotherapy to post-operative radiotherapy. Further advances in the treatment of malignant glioma will hinge on the discovery of novel and likely targeted therapies with activity against these diseases. OBJECTIVE: Review recent published experience using targeted therapeutics for malignant glioma. METHODS: Key studies from a Medline review of targeted therapies for malignant glioma performed between 2000 and the present are summarised in this review. CONCLUSIONS: Experience with targeted therapeutics for malignant glioma has been to date disappointing. These agents are generally well tolerated, but activity is limited. Novel therapeutics with activity against malignant gliomas must be identified to improve prognosis for patients with these diseases.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".