Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis.

Purpose: Whether brain connectomics can predict 1-year decreased Quality of Life (QoL) in patients with breast cancer are unclear. A longitudinal study was utilized to explore their prediction abilities with a multi-center sample.

Methods: 232 breast cancer patients were consecutively enrolled and 214 completed the 1-year QoL assessment (92.

Heterogeneity in resilience patterns and its prediction of 1-year quality of life outcomes among patients with newly diagnosed cancer: An exploratory piecewise growth mixture model analysis.

Purpose: This study was designed to explore the impact of a new cancer diagnosis on resilience of patients and whether the resilience patterns could predict Quality of Life (QoL) in the first year.

Methods: An exploratory linear piecewise growth mixture modeling (PGMM) with one hypothetical dot (3 months since diagnosis, T1) was employed to identify different resilience patterns and growth in 289 patients with different cancer diagnoses at five assessment occasions (T0-T4). Logistic regression analysis was performed to select potential predictors and receiver operating characteristic (ROC) curve analysis was utilized to test PGMM's discriminative ability against 1-year QoL.

Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC).

Objective: The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer.

Methods: A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B).

Resilience index improves prediction of 1-year decreased quality of life in breast cancer.

Background: Resilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors.

Methods: RI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA).

New resilience instrument for family caregivers in cancer: a multidimensional item response theory analysis.

Objective: Resilience instruments specific to family caregivers (FCs) in cancer are limited. This study was designed to validate the 10-item Resilience Scale Specific to Cancer (RS-SC-10) in FCs using multidimensional item response theory (MIRT) analysis.

Methods: 382 FCs were enrolled from Be Resilient to Cancer Program (BRCP) and administered with RS-SC-10 and 36-item Short Form Health Survey (SF-36).

Resilience patterns and transitions in the Be Resilient To Breast Cancer trial: an exploratory latent profile transition analysis.

Objective: Be Resilient to Breast Cancer (BRBC), a theoretically-derived, resilience-based, culturally-tailored, supportive-expressive group therapy (SEGT), has been developed to help promote patients' resilience in breast cancer. Data from patients receiving BRBC intervention was utilized to explore and define characteristics of resilience patterns and their transitions over time.

Methods: Resilience was used as a primary outcome and 391 patients completed Resilience Scale Specific to Cancer at enrollment (T0), 2 months (T1), 6 months(T2), and 12 months (T3) after intervention.

Minimum clinical important difference for resilience scale specific to cancer: a prospective analysis.

Background: The minimum clinical important differences (MCIDs) of resilience instruments in patients with cancer have not been comprehensively described. This study was designed to evaluate MCIDs of 10-item and 25-item resilience scales specific to cancer (RS-SC-10 and RS-SC-25).

Methods: From June 2015 to December 2018, RS-SCs were longitudinally measured in 765 patients with different cancer diagnoses at baseline (T0) and 3 months later (T1).

State or trait? Measuring resilience by generalisability theory in breast cancer.

Purpose: Whether resilience should be conceptualised as a state or trait is debated. The precise distinction between state versus trait aspects of resilience can help identify dynamic targets for resilience-based intervention trials involving cancer patients. This study was designed to disentangle the state and trait components of resilience in patients with breast cancer with the help of Generalisability Theory (GT) methods.

Effectiveness of adjuvant supportive-expressive group therapy for breast cancer.

Purpose: Randomized control trials exploring adjuvant supportive-expressive group therapy (SEGT) for breast cancer have yielded conflicting survival results. This retrospective cohort study was designed to explore the association of adjuvant SEGT performed at diagnosis with survival in real-world patients.

Methods: 3327 patients with breast cancer were divided between those who received oncologic treatment combined with SEGT-based intervention (referred to as BRBC [n = 354]) and those who only received oncologic treatment (referred to as OT [n = 2973]).

Treatment Decision Making and Regret in Parents of Children With Incurable Cancer.

Background: The treatment-related decision-making process is a highly emotional time for parents of children with incurable cancer, and they tend to continue the cancer-directed treatment even when they realize that there is no cure for their child.

Objective: To evaluate whether parents involved in different treatment decisions regretted their treatment decision after their child's death.

Methods: We collected prospective data from 418 parents of children who died of incurable cancer after receiving cancer care at 1 of 4 hospitals.

Development and psychometric analysis of the 10-item resilience scale specific to cancer: A multidimensional item response theory analysis.

Purpose: Resilience is an important concept in the cancer literature and is a salient indicator of cancer survivorship. Classic theory test (CTT) and item response theory (IRT) were performed to develop and validate the 25-item Resilience Scale Specific to Cancer (RS-SC). This study was designed to develop and validate a short form of RS-SC (RS-SC-10) with a multidimensional IRT (MIRT) analysis.

Symptoms and management of children with incurable cancer in mainland China.

Purpose: This study was designed to report information regarding symptomology of incurable pediatric cancer to promote proactive medicine and support for children and their families in the palliative phase in Mainland China.

Method: A multi-center retrospective cohort study including 205 children who died from incurable cancer between June 2008 and September 2013 were analyzed.

Results: An incurable diagnosis was confirmed between 0 and 1726 (median, 279) days from initial diagnosis with death occurring between 1 and 239(median, 83) days.

A biopsychosocial model of resilience for breast cancer: A preliminary study in mainland China.

Purpose: Patients diagnosed with breast cancer exhibited critical biopsychosocial functions following surgery or adjuvant treatment; therefore, it is important that they exhibit resilience. A Resilience Model for Breast Cancer (RM-BC) was developed using Chinese breast cancer patients to increase our understanding of how resilience outcomes are positively and negatively affected by protective and risk factors, respectively.

Methods: Chinese women with breast cancer completed the questionnaires within 1 week of beginning treatment.

Psychometric properties of the Chinese version of resilience scale specific to cancer: an item response theory analysis.

Objective: Classic theory test has been used to develop and validate the 25-item Resilience Scale Specific to Cancer (RS-SC) in Chinese patients with cancer. This study was designed to provide additional information about the discriminative value of the individual items tested with an item response theory analysis.

Methods: A two-parameter graded response model was performed to examine whether any of the items of the RS-SC exhibited problems with the ordering and steps of thresholds, as well as the ability of items to discriminate patients with different resilience levels using item characteristic curves.

New resilience instrument for patients with cancer.

Objective: Resilience is an important concept in the cancer literature and is a salient indicator of cancer survivorship. The aim of this study is to develop and validate a new resilience instrument that is specific to patients with cancer diagnosis (RS-SC) in Mainland China.

Methods: First, a resilience framework was constructed for patients with cancer diagnosis.

Effect of a mentor-based, supportive-expressive program, Be Resilient to Breast Cancer, on survival in metastatic breast cancer: a randomised, controlled intervention trial.

Background: Because of medical advances, metastatic breast cancer (MBC) is now viewed as a chronic disease, rather than an imminent death sentence. Helping women live with this disease requires more than a medical approach to symptoms. Thus, a mentor-based and supportive-expressive program 'Be Resilient to Breast Cancer' (BRBC) was designed to help Chinese women with MBC enhance their resilience levels, biopsychosocial functions, and potentially extend their life span.

Psychometric properties of the Chinese version of the Parent Perception of Uncertainty Scale (PPUS) among parents of children with cancer diagnosis.

Objective: Parents of children diagnosed with cancer often experience high levels of illness uncertainty. This study evaluated the psychometric properties of the Chinese Version of the Parent Perception of Uncertainty Scale for Childhood Cancer (PPUS-CC) in Mainland China.

Methods: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed using study population of 420 parents.

Validation and application of the Chinese version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) among parents of children with cancer diagnosis.

Purpose: Parents of children diagnosed with cancer often experience considerable emotional distress for their children with negative emotions, such as disbelief, depression, anxiety, hope and shock. Resilience is defined as the psychological characteristics that promote positive adaptation in the face of stress and adversity, which has been demonstrated to relate to positive coping and less psychological distress. Thus, a quick screening tool to evaluate the levels of resilience of parents with cancer-diagnosed children is urgently required.