The Sequelae of Anxiety in Breast Cancer: A Human Response to Illness Model
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To provide a critical review of the empirical literature on anxiety in women with breast cancer using the physiologic, pathophysiologic, behavior, and experiential perspectives of the Human Response to Illness (HRTI) Model. DATA SOURCES: Research articles, clinical articles, and Internet sources on breast cancer and anxiety. Literature sources included CINAHL, PubMed, and PsycINFO, incorporating English language reports through March 2009. DATA SYNTHESIS: Patients with breast cancer experience fluctuating levels of anxiety throughout their diagnosis and treatment trajectory. Anxiety may influence an individual's response to treatment, treatment decision making, and overall quality of life. CONCLUSIONS: Research consistently demonstrates that anxiety in patients with breast cancer can have a negative effect on patient outcomes. IMPLICATIONS FOR NURSING: The insight gained from exploring anxiety within the context of the four interrelated perspectives of the HRTI model fosters the provision of optimal care for patients suffering with anxiety throughout their breast cancer illness trajectory.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.001 |
| 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".