Depression and hopelessness in patients with acute leukemia: the psychological impact of an acute and life‐threatening disorder
Bibliographic record
Abstract
OBJECTIVE: Acute leukemia (AL) is a life-threatening cancer associated with substantial morbidity and mortality, particularly in older adults. Given that there has been little research on the psychological impact of such malignancies with acute onset, we assessed the prevalence and correlates of depression and hopelessness in patients with AL. METHODS: Three hundred forty-one participants were recruited within 1 month of diagnosis or relapse and completed the Beck Depression Inventory-II (BDI-II), Beck Hopelessness Scale (BHS), Memorial Symptom Assessment Scale, and other psychosocial measures. Multivariate regression analyses identified correlates of depression and hopelessness. RESULTS: 17.8% reported clinically significant depressive symptoms (BDI-II ≥ 15), 40.4% of which were in the moderate-severe range (BDI-II ≥ 20). 8.5% reported significant symptoms of hopelessness (BHS ≥ 8). Depression was associated with greater physical symptom burden (adjusted R(2) = 48.4%), while hopelessness was associated with older age and lower self-esteem (adjusted R(2) = 45.4%). Both were associated with poorer spiritual well-being. CONCLUSIONS: Clinically significant depressive symptoms were common early in the course of AL and related to physical symptom burden. Hopelessness was less common and associated with older age and lower self-esteem. The results suggest that whereas depression in AL may be related to disease burden, the preservation of hope may be linked to individual resilience, life stage, and realistic prognosis.Copyright © 2015 John Wiley & Sons, Ltd.
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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".