Changes in Functional Performance Measures in Adults Undergoing Chemoradiation for Primary Malignant Glioma: A Feasibility Study
Bibliographic record
Abstract
PURPOSE: To investigate the feasibility of longitudinal assessment of functional performance measures in newly diagnosed postsurgical malignant glioma patients. METHODS: Patients with histologically confirmed, clinically stable, postsurgical, and previously untreated high-grade glioma (HGG) or low-grade glioma (LGG) were studied. Using a prospective design, all participants performed a cardiopulmonary exercise test with expired gas analysis to assess cardiorespiratory function (VO(2peak)) immediately following surgical resection (mean, 10 days). Additional functional outcomes were skeletal muscle cross-sectional area (CSA) via magnetic resonance imaging, isokinetic muscle strength (isokinetic dynamometry), and body composition (air displacement plethysmography). Quality of life (QOL) was assessed by the Functional Assessment of Cancer Therapy-Brain scale. All study assessments were repeated at 6 and 24 weeks following surgery. RESULTS: Thirty-five patients (HGG, n = 25; LGG, n = 10) completed baseline assessments. Of these, 20 HGG (80%) and nine LGG (90%) and 15 HGG (60%) and nine LGG (90%) patients completed study assessments at 6 weeks and 24 weeks, respectively. Intention-to-treat analyses indicated several significant time-by-group interactions, with favorable improvements in functional and QOL endpoints from baseline to 24 weeks in the LGG cohort and unfavorable changes in the HGG cohort. Per-protocol analyses including participants assessed at all three study timepoints indicated significant improvements in VO(2peak) and fatigue from baseline to 24 weeks in the HGG cohort; peak workload, body composition, and muscle strength improved from baseline to 6 weeks (all p-values < .05). CONCLUSIONS: Longitudinal quantitative functional assessments are safe and feasible among select patients undergoing chemoradiation for primary malignant glioma. Large prospective studies investigating the clinical importance of these measures appear warranted.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".