Factors Affecting the Relationship between Physical Symptom Burden and Traumatic Stress Symptoms in Patients with Newly Diagnosed Acute Leukemia: A Multi-site Observational Study
Bibliographic record
Abstract
Acute leukemia (AL) is a life-threatening hematologic malignancy that poses a significant threat to both the physical and psychological well-being of those affected. Traumatic stress symptoms, which encompass the immediate psychological and physiological response to a traumatic event, such as the diagnosis of AL, are a manifestation of the distress experienced by such individuals. It has been shown that physical suffering activates traumatic stress symptoms in patients with AL, but the potential influence of variables that may moderate the association between physical symptoms and traumatic stress symptoms in AL remains understudied. This study aims to investigate this relationship and thereby to identify potential targets for therapeutic intervention. The data for this study are drawn from 85 adult patients with newly diagnosed AL recruited from four cancer care centers in Ontario, Canada. Self-report questionnaires were used at baseline to assess traumatic stress symptoms, physical symptoms, attachment security, spiritual well-being, and patient satisfaction with care. Quantitative data analyses using descriptive statistics and cross-sectional techniques, including multivariate analyses to evaluate moderation effects, were conducted to determine: the frequency of traumatic stress symptoms; the presence, severity, and distress associated with physical symptoms; and the extent to which the relationship between physical symptom burden and traumatic stress symptoms is moderated by intervening variables. The results of this study provide preliminary evidence for a moderating effect of spiritual well-being on the positive association between physical symptom burden and traumatic stress symptoms. Future work should explore this relationship in a larger sample to guide the development and improvement of tailored interventions to alleviate traumatic stress in this patient population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".