Prevalence of anxiety and depression in cancer patients
Bibliographic record
Abstract
Demoralization is a psychological response that is frequently observed in patients with cancer or advanced diseases. Depression and demoralization syndrome in patients with cancer are closely related to suicidal behavior.The purpose of this study was to explore the factors affecting demoralization of patients with cancer from a depression perspective, to assist with distinguishing patient emotions and provide appropriate intervention as early as possible, thereby enabling patients to receive proper care.A systematic review and meta-analysis was employed in this study. The databases included Cumulative Index for Nursing and Allied Health Literature, Cochrane, PubMed/ MEDLINE, PsycINFO, and Centre for European Policy Studies, and reference lists of articles. Experts in this field also were contacted. Based on inclusion criteria, 2 investigators selected the research and reviewed each study's quality according to the Newcastle-Ottawa Scale. Five correlational studies with 32 subjects were identified.The countries of studies included Australia, Germany, Taiwan, and the United States. There was a statistically significant difference in depression between patients with cancer in the high-demoralization group and those of the low-demoralization group (odds ratio = 9.65, 95% CI: 6.99–13.33, Z = 15.002, p < 0.0001). Four studies regarded demoralization and depression as distinguishable.The demoralization of patients with cancer was highly correlated with depression. Therefore, the suicide risk of demoralized patients without depression must also be assessed to prevent patients with high suicide risk from being neglected. If medical staff can perceive patient's demoralization issues earlier, they can more effectively prevent patients' depression from occurring, which benefits suicide prevention.
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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 | 0.000 |
| 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".