NCOG-01. NEUROCOGNITIVE FUNCTION (NCF) AND QUALITY OF LIFE (QOL) RESULTS FROM A PHASE II STUDY OF TEMOZOLOMIDE-BASED CHEMORADIOTHERAPY REGIMEN FOR HIGH RISK LOW-GRADE GLIOMAS
Bibliographic record
Abstract
Abstract BACKGROUND RTOG 0424 reported a 73.5% 3-year overall survival (OS) rate. This secondary analysis describes changes in NCF and QOL after therapy. METHODS Patients with HR-LGG were treated with radiation and concurrent and adjuvant temozolomide. Standardized NCF tests were performed at baseline, 6 and 12 months (mos). Rates of NCF decline were examined using the reliable change index on Hopkins Verbal Learning Test (HVLT), Trail Making Test (TMT), and Controlled Oral Word Association. Relationships between NCF and subjective cognitive concerns (MOS-Cognitive Function [MOS-CF] scale) were evaluated with Wilcoxon Rank Sum Test. QOL was assessed using FACT-Brain. Longitudinal modeling using maximum likelihood estimation evaluated predictors of change in QOL. Cox models assessed the association of baseline NCF with OS after adjusting for age, anticonvulsants, number of high risk factors, EORTC OS risk group, and tumor crossing the midline. RESULTS From 1/2005 to 8/2009, 129 evaluable patients were accrued, and 93 (72%) completed at least one NCF/QOL measurement with completers having better neurologic function than noncompleters (p=0.04). Compliance across measures was 55–59% and 54–57% at 6 and 12mos. Deterioration occurred in 50%/40% at 6mos/12mos, respectively, and was most frequent on HVLT (21%/20%), TMTA (29%/20%), and TMTB (22%/14%). Patients with HVLT deterioration at 12mos, compared to patients without deterioration, had significantly greater decrease in MOS-CF (p=0.01). No NCF test at baseline was independently associated with OS. FACT Emotional (p=0.02) and Functional Well-Being (p=0.004) subscales improved over time. EORTC OS high-risk group was associated with worse QOL on all subscales (p< 0.05 to 0.001) except Emotional Well-Being, tumor crossing the midline was associated with worse Emotional Well-Being (p=0.04), and unmethylated MGMT status was associated with better Physical Well-Being (p=0.05). CONCLUSIONS Approximately half of patients with HR-LGG experience NCF decline in the first year after treatment with temozolomide-based concurrent chemoradiation. QOL remained stable or improved.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".