Verbalized desire for death or euthanasia in advanced cancer patients receiving palliative care
Bibliographic record
Abstract
OBJECTIVE: We aimed to address the prevalence of desire-to-die statements (DDSs) among terminally ill cancer patients in an acute palliative care unit. We also intended to compare the underlying differences between those patients who make desire-to-die comments (DDCs) and those who make desire-for-euthanasia comments (EUCs). METHOD: We conducted a one-year cross-sectional prospective study in all patients receiving palliative care who had made a DDC or EUC. At inclusion, we evaluated symptom intensity, anxiety and depression, and conducted a semistructured interview regarding the reasons for these comments. RESULTS: Of the 701 patients attended to during the study period, 69 (9.8%; IC 95% 7.7-12.3) made a DDS: 51 (7.3%) a DDC, and 18 (2.5%) an EUC. Using Edmonton Symptom Assessment Scale (ESAS) DDC group showed higher percentage of moderate-severe symptoms (ESAS > 4) for well-being (91 vs. 25%; p = 0.001), depression (67 vs. 25%; p = 0.055), and anxiety (52 vs. 13%; p = 0.060) than EUC group. EUC patients also considered themselves less spiritual (44 vs. 84%; p = 0.034). The single most common reason for a DDS was pain or physical suffering, though most of the reasons given were nonphysical. SIGNIFICANCE OF RESULTS: Almost 10% of the population receiving specific oncological palliative care made a DDC (7.3%) or EUC (2.5%). The worst well-being score was lower in the EUC group. The reasons for both a DDC and EUC were mainly nonphysical. We find that emotional and spiritual issues should be identified and effectively addressed when responding to a DDS in terminally ill cancer patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".