Dataset Information

Psychological morbidity associated with prostate cancer: Rates and predictors of depression in the RADICAL PC study.

ABSTRACT:

Introduction

Across all cancer sites and stages, prostate cancer has one of the greatest median five-year survival rates, highlighting the important focus on survivorship issues following diagnosis and treatment. In the current study, we sought to evaluate the prevalence and predictors of depression in a large, multicenter, contemporary, prospectively collected sample of men with prostate cancer.

Methods

Data from the current study were drawn from the baseline visit of men enrolled in the RADICAL PC study. Men with a new diagnosis of prostate cancer or patients initiating androgen deprivation therapy for prostate cancer for the first time were recruited. Depressive symptoms were evaluated using the nine-item version of the Patient Health Questionnaire (PHQ-9). To evaluate factors associated with depression, a multivariable logistic regression model was constructed, including biological, psychological, and social predictor variables.

Results

Data from 2445 patients were analyzed. Of these, 201 (8.2%) endorsed clinically significant depression. Younger age (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.16-1.60 per 10-year decrease), being a current smoker (OR 2.77, 95% CI 1.66-4.58), former alcohol use (OR 2.63, 95% CI 1.33-5.20), poorer performance status (OR 5.01, 95% CI 3.49-7.20), having a pre-existing clinical diagnosis of depression or anxiety (OR 3.64, 95% CI 2.42-5.48), and having high-risk prostate cancer (OR 1.49, 95% CI 1.05-2.12) all conferred independent risk for depression.

Conclusions

Clinically significant depression is common in men with prostate cancer. Depression risk is associated with a host of biopsychosocial variables. Clinicians should be vigilant to screen for depression in those patients with poor social determinants of health, concomitant disability, and advanced disease.

SUBMITTER: Fervaha G

PROVIDER: S-EPMC8195585 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

Psychological morbidity associated with prostate cancer: Rates and predictors of depression in the RADICAL PC study.

Fervaha Gagan G Izard Jason P JP Tripp Dean A DA Aghel Nazanin N Shayegan Bobby B Klotz Laurence L Niazi Tamim T Fradet Vincent V Taussky Daniel D Lavallée Luke T LT Hamilton Robert J RJ Brown Ian I Chin Joseph J Gopaul Darin D Violette Philippe D PD Davis Margot K MK Karampatos Sarah S Pinthus Jehonathan H JH Leong Darryl P DP Siemens D Robert DR

Canadian Urological Association journal = Journal de l'Association des urologues du Canada 20210601 6

<h4>Introduction</h4>Across all cancer sites and stages, prostate cancer has one of the greatest median five-year survival rates, highlighting the important focus on survivorship issues following diagnosis and treatment. In the current study, we sought to evaluate the prevalence and predictors of depression in a large, multicenter, contemporary, prospectively collected sample of men with prostate cancer.<h4>Methods</h4>Data from the current study were drawn from the baseline visit of men enrolle ...[more]

PMID: 33212008

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Project description:BackgroundOnline Cancer Support Groups (OCSG) are becoming an increasingly vital source of information, experiences and empowerment for patients with cancer. Despite significant contributions to physical, psychological and emotional wellbeing of patients, OCSG are yet to be formally recognised and used in multidisciplinary cancer support programs. This study highlights the opportunity of using Artificial Intelligence (AI) in OCSG to address psychological morbidity, with supporting empirical evidence from prostate cancer (PCa) patients.MethodsA validated framework of AI techniques and Natural Language Processing (NLP) methods, was used to investigate PCa patient activities based on conversations in ten international OCSG (18,496 patients- 277,805 conversations). The specific focus was on activities that indicate psychological morbidity; the reasons for joining OCSG, deep emotions and the variation from joining through to milestones in the cancer trajectory. Comparative analyses were conducted using t-tests, One-way ANOVA and Tukey-Kramer post-hoc analysis.FindingsPCa patients joined OCSG at four key phases of psychological distress; diagnosis, treatment, side-effects, and recurrence, the majority group was 'treatment' (61.72%). The four groups varied in expression of the intense emotional burden of cancer. The 'side-effects' group expressed increased negative emotions during the first month compared to other groups (p<0.01). A comparison of pre-treatment vs post-treatment emotions showed that joining pre-treatment had significantly lower negative emotions after 12-months compared to post-treatment (p<0.05). Long-term deep emotion analysis reveals that all groups except 'recurrence' improved in emotional wellbeing.ConclusionThis is the first empirical study of psychological morbidity and deep emotions expressed by men with a new diagnosis of cancer, using AI. PCa patients joining pre-treatment had improved emotions, and long-term participation in OCSG led to an increase in emotional wellbeing, indicating a decrease in psychological distress. It is opportune to further investigate AI in OCSG for early psychological intervention as an adjunct to conventional intervention programs.

Project description:Background: D'Amico high-risk prostate cancer (Pca) patients experience poor and heterogeneous oncological outcomes. This heterogeneity highlights a need to extensively explore factors associated with poor outcomes to guide decision-making. Objective: To assess predictors of biochemical recurrence (BCR)-free survival in high-risk patients following radical prostatectomy (RP), and subsequently establish a model predicting outcomes. Methods: We retrospectively identified D'Amico high-risk non-metastatic Pca patients who underwent RP between 2013 and 2019 in our hospital. We collected data including PSA level, clinical stage, biopsy Gleason score (GS), number of D'Amico high-risk factors (RF), the inflammatory status (Neutrophil-to-lymphocyte ratio [NLR], derived NLR [dNLR], platelet-to-lymphocyte ratio [PLR] and LDH). Kaplan–Meier methods were used to analyze BCR-free survival. Univariate and multivariate analyses were performed using Cox proportional hazards model to evaluate the association between clinicopathological parameters and BCR-free survival. Results: The median follow-up time for the 101 patients' cohort was 26 months (range: 3–81 months). The number of RF (1RF vs. ?2RF), biopsy GS (<8 vs. ?8), clinical stage (?cT2c vs. >cT2c), pathological stage, and the presence of adverse pathological features were significant predictors of BCR (P < 0.05). Other parameters including inflammatory status (dNLR, NLR, PLR, and LDH) were not of predictive value. On multivariable analysis, biopsy GS (<8 vs. ?8; HR 2.439) and clinical stage (?cT2c vs. >cT2c; HR 3.271) were the independent predictors of BCR. Based on these two independent predictors, patients were stratified into three risk subgroups: favorable (0 risk factor; 47% of patients), intermediate (1 risk factor; 42 %), unfavorable (2 risk factors; 11%). The intermediate and unfavorable subgroups have a significantly shorter median BCR-free survival compared to the favorable subgroup (P < 0.001). Conclusion: Several factors are associated with BCR. Clinical stage (?cT2c vs. >cT2c) and biopsy GS (<8 vs. ?8) are the independent predictors of BCR. The stratification of high-risk patients into risk subgroups based on these two predictors shows that the intermediate and unfavorable subgroups have a significantly shorter median BCR-free survival compared to the favorable subgroup. The preoperative stratification model may help urologists and patients during decision-making. In non-metastatic high-risk patients, preoperative inflammatory markers (NLR, dNLR, PLR, and LDH) are not of prognostic value.

Dataset Information

Psychological morbidity associated with prostate cancer: Rates and predictors of depression in the RADICAL PC study.

Introduction

Methods

Results

Conclusions

Publications

Psychological morbidity associated with prostate cancer: Rates and predictors of depression in the RADICAL PC study.

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