Long-term behavioral symptom clusters among survivors of early-stage breast cancer. development and validation of a predictive model.

BACKGROUND: Fatigue, cognitive impairment, anxiety, depression, and sleep disturbance are cancer-related behavioral symptoms (CRBS) that may persist years after early-stage breast cancer (BC), affecting quality of life. We aimed at generating a predictive model of long-term CRBS clusters among BC survivors four years post-diagnosis. METHODS: Patients with early-stage BC were included from the CANcer TOxicity (NCT01993498). Our outcome was the proportion of patients reporting CRBS clusters four years post-diagnosis (≥3 severe CRBS). Predictors, including clinical, behavioral, and treatment-related characteristics, Behavioral Symptoms Score (BSS; 1 point per severe CRBS at diagnosis) and a pro-inflammatory cytokine (IL-1b, IL-6, TNFα)-genetic risk score, were tested using multivariable logistic regression, implementing bootstrapped Augmented Backwards Elimination. A two-sided p-value < 0.05 defined statistical significance. RESULTS: In the development cohort (N = 3555), 642 patients (19.0%) reported a cluster of CRBS at diagnosis and 755 (21.2%) did so four years post-diagnosis. Younger age (adjusted Odds Ratio [aOR] for 1-year decrement: 1.012; 95% Confidence Interval [CI] 1.003-1.020); previous psychiatric disorders (aOR vs no: 1.27; 95% CI 1.01-1.60); and BSS (aOR ranged from 2.17 [1.66-2.85] for BSS = 1 vs 0 to 12.3 [7.33-20.87] for BSS = 5 vs 0) were predictors of reporting a cluster of CRBS (AUC 0.73 [95%CI 0.71-0.75]). Genetic risk score was not predictive of CRBS. Results were confirmed in the validation cohort (N = 1533). CONCLUSION: Younger patients with previous psychiatric disorders and higher baseline symptom burden have greater risk of long-term clusters of CRBS. Our model might be implemented in clinical pathways to improve management and test the effectiveness of risk mitigation interventions among breast cancer survivors.

An effort to improve the collection of patient-generated data: readability and understandability of patient-reported outcomes measures in a survivorship cohort.

PURPOSE: In this study, we evaluated readability and understandability of nine French-language Patient-Reported Outcome Measures (PROMs) that are currently used in a contemporary longitudinal cohort of breast cancer survivors as part of an effort to improve equity in cancer care and research. METHODS: Readability of PROMs was assessed using the Flesh Reading Ease Score (FRES), the Gunning's Fog Index (FOG), and the FRY graphics. Readability was considered ideal if mean score ≤ 6th-grade level and acceptable if between 6th and 8th grade. Understandability was evaluated using the Patient Education Materials Assessment Tool and defined as ideal if PEMAT ≥ 80%. The Evaluative Linguistic Framework for Questionnaires (ELF-Q) provided additional qualitative elements to assess understandability. Plain-language best practice was met if both readability and understandability were ideal. RESULTS: None of the 9 PROMs evaluated had ideal readability scores and only 1 had an acceptable score. Understandability ranged from 55% to 91%, and only 3 PROMs had ideal scores. ELF-Q identified points for improvement in several understandability dimensions of the PROMs. None of the instruments met the definition of plain-language best practice. CONCLUSION: None of the studied PROMs met the standards of readability and understandability. Future development and translation of PROMs should follow comprehensive linguistic and cultural frameworks to ensure plain-language standards and enhance equitable patient-centered care and research.

Patient-Reported Quality of Life 6 Years After Breast Cancer.

This cohort study assesses quality-of-life trajectories up to 6 years after breast cancer diagnosis among individuals in France.