Effects of High Anxiety Scores on Surgical and Overall Treatment Plan in Patients with Breast Cancer Treated with Neoadjuvant Therapy
Bibliographic record
Abstract
BACKGROUND: Patients with newly diagnosed breast cancer and high levels of anxiety often pursue more aggressive surgical interventions. The neoadjuvant treatment (NAT) setting could provide a window of opportunity to address patients' anxiety. However, the impact of anxiety on surgical decisions in the setting of NAT for breast cancer has not been previously studied. MATERIALS AND METHODS: A prospective database of patients with breast cancer treated with NAT at BC Cancer was used to identify patients treated with NAT and subsequent surgical resection. Patients with bilateral breast cancer or BRCA mutations or those referred to the hereditary cancer program were excluded. An anxiety score of 0-3 was assigned based on responses to the Edmonton Symptom Assessment System and Psychosocial Screen for Cancer. Clinicopathological information and treatment data were retrieved and cross-referenced between the low-anxiety (scores 0-1) and high-anxiety (scores 2-3) cohorts. RESULTS: From 2012 to 2016, 203 patients met eligibility criteria. Of these, 93 patients (45.8%) had low anxiety and 110 patients (54.2%) had high anxiety. Overall, 161 patients (79.3%) had locally advanced cancers; no differences in stage, grade, or biomarkers were found between the low- and high-anxiety cohorts. Patients with high self-reported anxiety at initial consultation were younger (mean 56 years vs. 60 years; p = .011) and more likely to undergo mastectomy for breast-conserving surgery-eligible disease and bilateral mastectomy for unilateral disease compared with those with low anxiety (37.3% vs. 18.3%; likelihood ratio 9.15; p = .002). No significant differences in treatment timelines were identified between the two cohorts. CONCLUSION: Patients with high anxiety at initial consultation were nine times more likely to undergo aggressive surgery compared with patients with low anxiety. These findings underscore the need for early identification of patients who may benefit from tailored supportive and educational services to address sources of anxiety and knowledge gaps. IMPLICATIONS FOR PRACTICE: The prevalence of anxiety among women with newly diagnosed breast cancer is being increasingly acknowledged. However, health care providers have not fully appreciated the impact of anxiety on the surgical management of patients with early-stage breast cancer. This study highlights the importance of self-reported anxiety on surgical management. The preoperative period provides a unique window of opportunity to address sources of anxiety and provide targeted educational materials over a period of 4-6 months, which may ultimately lead to less aggressive surgery when it is not needed.
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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".