Hospitalizations in elderly glioblastoma patients.
Bibliographic record
Abstract
e21529 Background: Elderly glioblastoma (GB) patients are at risk of hospitalizations due to the morbidity of the disease and possible treatment toxicity. Methods: In this observational cohort study, 255 newly diagnosed GB patients age 65 years and older were included. Survival, emergency room visits and admissions to an acute care hospital were determined. Mean and median total health care costs were calculated. Risk factors for Emergency room visits and acute care hospital admissions were determined. Results: Median overall survival was 6 months. The majority of patients (68%) had at least one visit to the emergency department and 77% had at least one admission to acute care. The mean and median length of hospital stay per patient was 20.5 days and 14 days respectively. Forty-three percent of patients spent 0-4% of their survival as an inpatient. Only 3% spent 70% or more of their survival as an acute care inpatient. There was a mean of 79.7 days and a median of 43 days from the last emergency department visit to death. The mean and median total costs (hospital, ambulatory, physician billing, other health care costs) per patient were $162 479.78 (CAN) and $125 511.00 (CAN), respectively. Treatment with radiation or treatment with radio-chemotherapy was associated with a relative risk (RR) of 2.31 (95% CI 1.44, 3.7; p = 0.0005) and 2.19 (95% CI 1.28, 3.74; p = 0.0 04), respectively for emergency department visits as compared to patients who were managed with comfort measures only. Patients with a baseline ECOG 0 had a RR of 1.71 (95% CI 1.06, 2.77; p = 0.0289) and patients with baseline ECOG 1 had a RR of 1.49 (0.98, 2.26; p = 0.0623) for hospital admission as compared to patients with ECOG 4. Conclusions: A large proportion of elderly GB patients (particularly those with good baseline performance status who underwent active treatment) presented to the emergency department and had at least one admission to acute care.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".