Evaluation of psychological distress is essential for patients with locally advanced breast cancer prior to neoadjuvant chemotherapy: baseline findings from cohort study
Bibliographic record
Abstract
BACKGROUND: patients with locally advanced breast cancer (LABC) are often treated by neoadjuvant chemotherapy (NACT). This study aims to determine the prevalence of psychological distress and their sociodemographic and clinical factors in patients recently diagnosed with LABC and before NACT. METHODS: A total of 209 LABC patients without metastatic localization were recruited between 2021 and 2022 in the oncology hospital at Fez. A structured questionnaire and the Hospital Anxiety and Depression Scale were used. A descriptive analysis and linear model were performed. RESULTS: a mean age of participants was 47.43 ± 9.45 years. The prevalence of depression, anxiety and psychological distress among participants was 59.62% (95% CI: 52.61-33.34), 47.85% (95% CI: 40.91-54.85), and 65.07 (95% CI: 58.19-71.52) respectively. Depression was associated to age (< 50 years) (AOR = 2.19; 95% CI = 1.13-4.23) and health insurance (AOR = 3.64; 95% CI: 1.18-11.26). Anxiety was associated to age (< 50) (AOR = 2.21; 95% CI: 1.18-4.13) and right breast cancer (AOA = 2.01; 95% CI: 1.11-3.65). Psychological distress was associated to chronic illness (AOR = 2.78; 95% CI: 1.32-5.85) and lymph node status (AOR = 2.39; 95% CI: 1.26-4.57). CONCLUSIONS: Based on the high prevalence of depression and anxiety it appears opportune to treat psychological distress among LABC patient candidates for NACT. Each psychological intervention should take into account sociodemographic and clinical factors found associated in our study. Psychological therapeutic interventions are crucial for LABC patients as early as the time of diagnosis and through subsequent steps in NACT to improve their overall mental health.
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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) | 0.001 | 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".