Does gynecologic malignancy predict likelihood of a tertiary palliative care unit hospital admission? A comparison of local, provincial and national death rates
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to determine whether the presence of gynecologic malignancies predicts the likelihood of a tertiary palliative care unit hospital admission. METHOD: In this study, patients admitted to a specialized tertiary palliative care unit (TPCU) with gynecologic malignancies were compared to national and provincial death rates to determine if gynecologic malignancy predicts admission, and subsequent death, in a TPCU. RESULTS: Eighty-two gynecologic cancer patients were admitted to our TPCU over the 5- year study period. Out of all cancer deaths in the TPCU, death from ovarian cancer was 3.7% compared with 2.4% (p = 0.0068) of all cancer deaths in Manitoba and 2.3% (p = 0.0043) of all cancer deaths in Canada. Cervical cancer accounted for 1.7% of all our patients deaths compared with 0.7% (p = 0.0001) provincially and 0.6% (p = 0.0001) nationally. Uterine cancer deaths were not significantly different from the provincial and national death rates, whereas vulvar and fallopian cancers were too rare to allow for statistical analysis. SIGNIFICANCE OF RESULTS: Gynecologic cancers may be predictive of admission to a palliative care unit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".