Adjuvant Chemotherapy for Adults with Malignant Glioma: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: This systematic review examines the role of chemotherapy following surgery and external beam radiotherapy for adults with newly diagnosed malignant glioma. METHODS: MEDLINE, EMBASE, and the Cochrane Library databases were searched to August 2006 to identify relevant randomized controlled trials (RCTs) and meta-analyses. Proceedings from the 1997 to 2006 annual meetings of the American Society of Clinical Oncology were also searched. RESULTS: Two RCTs reported a survival advantage in favour of radiotherapy with concomitant and adjuvant temozolomide compared with radiotherapy alone in patients with anaplastic astrocytoma or glioblastoma. Twenty-six RCTs and two meta-analyses detected either no advantage or a small survival advantage in favour of adjuvant chemotherapy. CONCLUSION: Concomitant temozolomide during radiotherapy and post-radiation adjuvant temozolomide is recommended for all patients ages 18-70 with newly diagnosed glioblastoma multiforme who are fit for radical therapy (ECOG 0-1). Temozolomide may be considered in other situations (i.e., ECOG 2, biopsy only, age > 70, intermediate grade glioma), but there is no high-level evidence to support this decision. Moreover, there are few data on long-term toxicities or quality of life with temozolomide. Adjuvant chemotherapy may be an option for younger patients with anaplastic (grade 3) astrocytoma and patients with pure or mixed oligodendroglioma. However, there is no evidence of a survival advantage from adjuvant chemotherapy in these patients, and treatment-related adverse effects and their impact upon quality of life are poorly studied. The combination of procarbazine, lomustine, and vincristine (PCV) is not recommended for patients with anaplastic oligodendroglioma and oligoastrocytoma.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".