Health-Related Quality of Life and Psychosocial Status in Breast Cancer Prognosis: Analysis of Multiple Variables

Effectiveness of home-based exercise in breast cancer survivors: a randomized clinical trial

BACKGROUND

Breast cancer patients are recommended to engage in regular exercise. In developing countries, where there is a lack of facilities to offer specialized, supervised exercise for this population, regularly exercising might be a challenge. We aimed to evaluate the effectiveness of a home-based intervention in this population.

METHODS

Breast cancer survivors were randomly assigned to either the home-based exercise program or the usual care group. Exercise intervention included walking, balance, and stretch exercises, along with weekly follow-up telephone calls. Quality of life (QOL) was evaluated using EORTC QLQ-C30 and EORTC QLQ-BR23 questionnaires and the predicted VO2 peak was measured using the Ebbeling submaximal treadmill test.

RESULTS

Eighty-nine patients were enrolled in the study. Reported minutes of exercise gradually increased from 40.7 min per week in week 1 to 116.9 min per week in week 12. This intervention improved global QOL (P = 0.001), social functioning (P = 0.04), and the predicted VO2 peak (P = 0.01).

CONCLUSION

This home-based exercise regime effectively increased quality of life and physical activity levels.

TRIAL REGISTRY

Iranian Registry of Clinical Trials identifier: IRCT20140810018746N1, prospectively registered 08/01/2018, https://en.irct.ir/trial/27959 .

Influence of depression on breast cancer treatment and survival: A Kentucky population-based study

BACKGROUND

Depression is common among breast cancer patients and can affect concordance with guideline-recommended treatment plans. Yet, the impact of depression on cancer treatment and survival is understudied, particularly in relation to the timing of the depression diagnosis.

METHODS

The Kentucky Cancer Registry data was used to identify female patients diagnosed with primary invasive breast cancer who were 20 years of age or older in 2007-2011. Patients were classified as having no depression, depression pre-cancer diagnosis only, depression post- cancer diagnosis only, or persistent depression. The impact of depression on receiving guideline-recommended treatment and survival was examined using multivariable logistic regression and Cox regression, respectively.

RESULTS

Of 6054 eligible patients, 4.1%, 3.7%, and 6.2% patients had persistent depression, depression pre-diagnosis only, and depression post-diagnosis only, respectively. A total of 1770 (29.2%) patients did not receive guideline-recommended cancer treatment. Compared to patients with no depression, the odds of receiving guideline-recommended treatment were decreased in patients with depression pre-diagnosis only (odds ratio [OR], 0.75; 95% confidence interval [CI], 0.54-1.04) but not in patients with post-diagnosis only or persistent depression. Depression post-diagnosis only (hazard ratio, 1.51; 95% CI, 1.24-1.83) and depression pre-diagnosis only (hazard ratio, 1.26; 95% CI, 0.99-1.59) were associated with worse survival. No significant difference in survival was found between patients with persistent depression and patients with no depression (p > .05).

CONCLUSIONS

Neglecting depression management after a breast cancer diagnosis may result in poorer cancer treatment concordance and worse survival. Early detection and consistent management of depression is critical in improving patient survival.

The cancer survival index-A prognostic score integrating psychosocial and biological factors in patients diagnosed with cancer or haematologic malignancies

Objective

We aimed to investigate whether (1) psychological and social indicators influence survival in patients diagnosed with cancer or haematologic malignancies when important biological aspects are controlled for, (2) psychological, social and biological indicators can be utilised to design one collated index for survival, usable in clinical practice to identify patients at risk of shorter survival and to improve personalised healthcare provision.

Methods

In this cross‐sectional study, 2263 patients with cancer or haematologic malignancies participated. We analysed 15 biological, psychological and social indicators as risk factors for survival with a Cox proportional hazards model. Indicators significantly associated with survival were combined to compute models for the identification of patient groups with different risks of death. The training sample contained 1122 patients. Validation samples included the remaining 1141 patients, the total sample, as well as groups with different cancer entities.

Results

Five indicators were found to significantly impact survival: Cancer site (HR: 3.56), metastatic disease (HR: 1.88), symptoms of depression (HR: 1.34), female sex (HR: 0.73) and anaemia (HR: 0.48). Combining these indicators to a model, we developed the Cancer Survival Index, identifying three distinct groups of patients with estimated survival times of 47.2 months, 141 months and 198.2 months (p < 0.001). Post hoc analysis of the influence of depression on survival showed a mediating effect of the following four factors, related to both depression and survival: previous psychiatric conditions, employment status, metastatic disease and haemoglobin levels.

Conclusions

Psychosocial and biological factors impact survival in various malignancies and can be utilised jointly to compute an index for estimating the survival of each patient individually—the Cancer Survival Index.

Quality of life among women with symptomatic, screen-detected, and interval breast cancer, and for women without breast cancer: a retrospective cross-sectional study from Norway

Purpose

Breast cancers detected at screening need less aggressive treatment compared to breast cancers detected due to symptoms. The evidence on the quality of life associated with screen-detected versus symptomatic breast cancer is sparse. This study aimed to compare quality of life among Norwegian women with symptomatic, screen-detected and interval breast cancer, and women without breast cancer and investigate quality adjusted life years (QALYs) for women with breast cancer from the third to 14th year since diagnosis.

Methods

This retrospective cross-sectional study was focused on women aged 50 and older. A self-reported questionnaire including EQ-5D-5L was sent to 11,500 women. Multivariable median regression was used to analyze the association between quality of life score (visual analogue scale 0–100) and detection mode. Health utility values representing women’s health status were extracted from EQ-5D-5L. QALYs were estimated by summing up the health utility values for women stratified by detection mode for each year between the third and the 14th year since breast cancer diagnosis, assuming that all women would survive.

Results

Adjusted regression analyses showed that women with screen-detected (n = 1206), interval cancer (n = 1005) and those without breast cancer (n = 1255) reported a higher median quality of life score using women with symptomatic cancer (n = 1021) as reference; 3.7 (95%CI 2.2–5.2), 2.3 (95%CI 0.7–3.8) and 4.8 (95%CI 3.3–6.4), respectively. Women with symptomatic, screen-detected and interval cancer would experience 9.5, 9.6 and 9.5 QALYs, respectively, between the third and the 14th year since diagnosis.

Conclusion

Women with screen-detected or interval breast cancer reported better quality of life compared to women with symptomatic cancer. The findings add benefits of organized mammographic screening.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-021-03017-7.

A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients

Psychosocial factors have become central concepts in oncology research. However, their role in the prognosis of the disease is not yet well established. Studies on this subject report contradictory findings. We examine if illness perception and quality of life reports measured at baseline could predict the stress hormones and inflammatory markers in breast cancer survivors, one year later. We use statistics and machine learning methods to analyze our data and find the best prediction model. Patients with stage I to III breast cancer (N = 70) were assessed twice, at baseline and one year later, and completed scales assessing quality of life and illness perception. Blood and urine samples were obtained to measure stress hormones (cortisol and adrenocorticotropic hormone (ACTH) and inflammatory markers (c-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and fibrinogen). Family quality of life is a strong predictor for ACTH. Women who perceive their illness as being more chronic at baseline have higher ESR and fibrinogen values one year later. The artificial intelligence (AI) data analysis yields the highest prediction score of 81.2% for the ACTH stress hormone, and 70% for the inflammatory marker ESR. A chronic timeline, illness control, health and family quality of life were important features associated with the best predictive results.

Life Quality Index Assessment in Breast Cancer Patients

Breast cancer (BC) is the most common cancer in Indian females whether they are from urban or rural area. Quality of life after treatment in BC patients is a very vital issue as its assessment will guide the clinicians, hospital authorities, and administrators to take appropriate steps to improve the delivery of treatment and address the concern. Improvement in QOL should be one of the ultimate aims of treatment in BC. The aim of this review is to collect and examine literature available on QOL in breast cancer patients and define what type of issues or domains should be studied. Four factors including chemotherapy treatment received by the patient, associated comorbidities, social support to patients from family, friends, support groups, and income of family have been found to have a strong association with QOL in BC patients/survivors. QOL assessment should include an instrument which assesses physical health, social health, psychological health, and spiritual health. There are less studies having all above domains so more studies are required for better understanding of QOL issue in BC patients/survivors.

Health-Related Quality of Life: The Impact on Morbidity and Mortality

In the age of ever-expanding treatments and precision medicine, the hope for cure remains the ultimate goal for patients and providers. Equally important to many patients is the quality of life achieved during and after treatment. Evidence suggests that overall quality of life is important to patients and plays a role in determining outcomes in patients with cancer. This article examines components of health-related quality of life and cancer treatment, including physical, psychosocial, and financial burden, as well as how these components affect patients' overall wellbeing and survival.

When do patient reported quality of life indicators become prognostic in breast cancer?

Background

Various patient reported quality-of-life indicators are independently prognostic for survival in metastatic breast cancer and other cancers. The same measures recorded at first diagnosis of early breast cancer carry no corresponding prognostic information. The present study aims to assess at what time in the disease evolution the prognostic association appears.

Methods

Among 8024 patients enrolled in one of seven randomized controlled trials in early-stage breast cancer 3247 had a breast cancer relapse after a median follow-up of 12.1 years. Of these 677 had completed QL indicator assessments within defined windows 1, 2 or 3 months prior to relapse. We performed Cox regression analyses using these assessments and using identical instruments after relapse. All analyses were stratified by trial and adjusted for baseline clinicopathologic factors.

Results

QL indicators in the months before relapse were not significantly prognostic for subsequent survival with the possibly chance exception of mood at the second month before relapse. After relapse, physical well-being was statistically significantly associated with survival (P < 0.001). This prognostic significance increased in later post-relapse assessments. Similar findings were observed using patient-reported indicators for nausea and vomiting, appetite, coping effort, and health perception.

Conclusions

Before cancer relapse, QL indicators were not generally prognostic for subsequent survival. After relapse, QL indicators substantially predicted OS, with a stronger association later in the course of relapsed disease. Simple patient perception of disease burden seems unlikely to explain this sudden change: rather the patient’s awareness of disease relapse must contribute.

Reliability of an e-PRO Tool of EORTC QLQ-C30 for Measurement of Health-Related Quality of Life in Patients With Breast Cancer: Prospective Randomized Trial

BACKGROUND

Breast cancer represents the most common malignant disease in women worldwide. As currently systematic palliative treatment only has a limited effect on survival rates, the concept of health-related quality of life (HRQoL) is gaining more and more importance in the therapy setting of metastatic breast cancer. One of the major patient-reported outcomes (PROs) for measuring HRQoL in patients with breast cancer is provided by the European Organization for Research and Treatment of Cancer (EORTC). Currently, paper-based surveys still predominate, as only a few reliable and validated electronic-based questionnaires are available. Facing the possibilities associated with evolving digitalization in medicine, validation of electronic versions of well-established PRO is essential in order to contribute to comprehensive and holistic oncological care and to ensure high quality in cancer research.

OBJECTIVE

The aim of this study was to analyze the reliability of a tablet-based measuring application for EORTC QLQ-C30 in German language in patients with adjuvant and (curative) metastatic breast cancer.

METHODS

Paper- and tablet-based questionnaires were completed by a total of 106 female patients with adjuvant and metastatic breast cancer recruited as part of the e-PROCOM study. All patients were required to complete the electronic- (e-PRO) and paper-based versions of the HRQoL EORTC QLQ-C30 questionnaire. A frequency analysis was performed to determine descriptive sociodemographic characteristics. Both dimensions of reliability (parallel forms reliability [Wilcoxon test] and test of internal consistency [Spearman rho and agreement rates for single items, Pearson correlation and Kendall tau for each scale]) were analyzed.

RESULTS

High correlations were shown for both dimensions of reliability (parallel forms reliability and internal consistency) in the patient's response behavior between paper- and electronic-based questionnaires. Regarding the test of parallel forms reliability, no significant differences were found in 27 of 30 single items and in 14 of 15 scales, whereas a statistically significant correlation in the test of consistency was found in all 30 single items and all 15 scales.

CONCLUSIONS

The evaluated e-PRO version of the EORTC QLQ-C30 is reliable for patients with both adjuvant and metastatic breast cancer, showing a high correlation in almost all questions (and in many scales). Thus, we conclude that the validated paper-based PRO assessment and the e-PRO tool are equally valid. However, the reliability should also be analyzed in other prospective trials to ensure that usability is reliable in all patient groups.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03132506; https://clinicaltrials.gov/ct2/show/NCT03132506 (Archived by WebCite at http://www.webcitation.org/6tRcgQuou).

Survival After Early-Stage Breast Cancer of Women Previously Treated for Depression: A Nationwide Danish Cohort Study

Purpose

The aim of this nationwide, register-based cohort study was to determine whether women treated for depression before primary early-stage breast cancer are at increased risk for receiving treatment that is not in accordance with national guidelines and for poorer survival.

Material and Methods

We identified 45,325 women with early breast cancer diagnosed in Denmark from 1998 to 2011. Of these, 744 women (2%) had had a previous hospital contact (as an inpatient or outpatient) for depression and another 6,068 (13%) had been treated with antidepressants. Associations between previous treatment of depression and risk of receiving nonguideline treatment of breast cancer were assessed in multivariable logistic regression analyses. We compared the overall survival, breast cancer–specific survival, and risk of death by suicide of women who were and were not treated for depression before breast cancer in multivariable Cox regression analyses.

Results

Tumor stage did not indicate a delay in diagnosis of breast cancer in women previously treated for depression; however, those given antidepressants before breast cancer had a significantly increased risk of receiving nonguideline treatment (odds ratio, 1.14; 95% CI, 1.03 to 1.27) and significantly worse overall survival (hazard ratio, 1.21; 95% CI, 1.14 to 1.28) and breast cancer–specific survival (hazard ratio, 1.11; 95% CI, 1.03 to 1.20). Increased but nonsignificant estimated risks were also found for women with previous hospital contacts for depression. In subgroup analyses, the association of depression with poor survival was particularly strong among women who did not receive the indicated adjuvant systemic therapy.

Conclusion

Women previously treated for depression constitute a large subgroup of patients with breast cancer who are at risk for receiving nonguideline breast cancer treatment, which probably contributes to poorer overall and breast cancer–specific survival.

Longitudinal Changes in Depression Symptoms and Survival Among Patients With Lung Cancer: A National Cohort Assessment

Purpose Depression symptoms are common among patients with lung cancer; however, longitudinal changes and their impact on survival are understudied. Methods This was a prospective, observational study from the Cancer Care Outcomes Research and Surveillance Consortium from five US geographically defined regions from September 2003 through December 2005. Patients enrolled within 3 months of their lung cancer diagnosis were eligible. The eight-item Center for Epidemiologic Studies Depression scale was administered at diagnosis and 12 months' follow-up. The main outcome was survival, which was evaluated using Kaplan-Meyer curves and adjusted Cox proportional hazards modeling. Results Among 1,790 participants, 681 (38%) had depression symptoms at baseline and an additional 105 (14%) developed new-onset depression symptoms during treatment. At baseline, depression symptoms were associated with increased mortality (hazard ratio [HR], 1.17; 95% CI, 1.03 to 1.32; P = .01). Participants were classified into the following four groups based on longitudinal changes in depression symptoms from baseline to follow-up: never depression symptoms (n = 640), new-onset depression symptoms (n = 105), depression symptom remission (n = 156), and persistent depression symptoms (n = 254) and HRs were calculated. Using the never-depression symptoms group as a reference group, HRs were as follows: new-onset depression symptoms, 1.50 (95% CI, 1.12 to 2.01; P = .006); depression symptom remission, 1.02 (95% CI, 0.79 to 1.31; P = .89), and persistent depression symptoms, 1.42 (95% CI, 1.15 to 1.75; P = .001). At baseline, depression symptoms were associated with increased mortality among participants with early-stage disease (stages I and II; HR, 1.61; 95% CI, 1.26 to 2.04), but not late-stage disease (stages III and IV; HR, 1.05; 95% CI, 0.91 to 1.22). At follow-up, depression symptoms were associated with increased mortality among participants with early-stage disease (HR, 1.71; 95% CI, 1.27 to 2.31) and those with late-stage disease (HR, 1.32; 95% CI, 1.04 to 1.69). Conclusion Among patients with lung cancer, longitudinal changes in depression symptoms are associated with differences in mortality, particularly among patients with early-stage disease. Symptom remission is associated with a similar mortality rate as never having had depression.

Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life

OBJECTIVES

To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure).

METHODS

The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R.

RESULTS

Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%).

CONCLUSIONS

HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.

Prognostic value of quality of life score in disease-free survivors of surgically-treated lung cancer

BACKGROUND

We aimed to evaluate the prognostic value of quality of life (QOL) for predicting survival among disease-free survivors of surgically-treated lung cancer after the completion of cancer treatment.

METHODS

We administered the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30), the Quality of Life Questionnaire Lung Cancer Module (QLQ-LC13), Hospital Anxiety and Depression Scale (HADS), and Posttraumatic Growth Inventory (PTGI) to 809 survivors who were surgically-treated for lung cancer at two hospitals from 2001 through 2006. We gathered mortality data by linkage to the National Statistical Office through December 2011. We used Cox proportional hazard models to compute adjusted hazard ratios (aHRs) and 95 % confidence intervals (CIs) to estimate the relationship between QOL and survival.

RESULTS

Analyses of QOL items adjusted for age, sex, stage, body mass index, and physical activity showed that scores for poor physical functioning, dyspnea, anorexia, diarrhea, cough, personal strength, anxiety, and depression were associated with poor survival. With adjustment for the independent indicators of survival, final multiple proportional hazard regression analyses of QOL show that physical functioning (aHR, 2.39; 95 % CI, 1.13-5.07), dyspnea (aHR, 1.56; 95 % CI, 1.01-2.40), personal strength (aHR, 2.36; 95 % CI, 1.31-4.27), and anxiety (aHR, 2.13; 95 % CI, 1.38-3.30) retained their independent prognostic power of survival.

CONCLUSION

This study suggests that patient-reported QOL outcomes in disease-free survivors of surgically-treated lung cancer after the completion of active treatment has independent prognostic value for long-term survival.

Factors influencing psychosocial adjustment and quality of life in Parkinson patients and informal caregivers

Objective

The influence that social conditions and personal attitudes may have on the quality of life (QoL) of Parkinson’s disease (PD) patients and informal caregivers does not receive enough attention in health care, as a result of it not being clearly identified, especially in informal caregivers. The aim of this study was to provide a comprehensive analysis of psychosocial adjustment and QoL determinants in PD patients and informal caregivers.

Methods

Ninety-one PD patients and 83 caregivers participated in the study. Multiple regression analyses were performed including benefit finding, coping, disease severity and socio-demographic factors, in order to determine how these aspects influence the psychosocial adjustment and QoL in PD patients and caregivers.

Results

Regression models showed that severity of PD was the main predictor of psychosocial adjustment and QoL in patients. Nevertheless, multiple regression analyses also revealed that coping was a significant predictor of psychosocial adjustment in patients and caregivers. Furthermore, psychosocial adjustment was significantly related to QoL in patients and caregivers. Also, coping and benefit finding were predictors of QoL in caregivers but not in patients.

Conclusions

Multidisciplinary interventions aimed at improving PD patients’ QoL may have more effective outcomes if education about coping skills, and how these can help towards a positive psychosocial adjustment to illness, were included, and targeted not only at patients, but also at informal caregivers.

Depression and Anxiety Disorders among Hospitalized Women with Breast Cancer

PURPOSE

To document the prevalence of depression and anxiety disorders, and their associations with mortality among hospitalized breast cancer patients.

METHODS

We examined the associations between breast cancer diagnosis and the diagnoses of anxiety or depression among 4,164 hospitalized breast cancer cases matched with 4,164 non-breast cancer controls using 2006-2009 inpatient data obtained from the Nationwide Inpatient Sample database. Conditional logistic regression models were used to compute odds ratios (ORs) and 95% confidence intervals (CI) for the associations between breast cancer diagnosis and diagnoses of anxiety or depression. We also used binary logistic regression models to examine the association between diagnoses of depression or anxiety, and in-hospital mortality among breast cancer patients.

RESULTS

We observed that breast cancer cases were less likely to have a diagnosis of depression (OR=0.63, 95% CI: 0.52-0.77), and less likely to have a diagnosis of anxiety (OR=0.68, 95% CI: 0.52-0.90) compared with controls. This association remained after controlling for race/ethnicity, residential income, insurance and residential region. Breast cancer patients with a depression diagnosis also had lower mortality (OR=0.69, 95% CI: 0.52-0.89) compared with those without a depression diagnosis, but there was no significant difference in mortality among those with and without anxiety diagnoses.

CONCLUSION

Diagnoses of depression and anxiety in breast cancer patients were less prevalent than expected based on our analysis of hospitalized breast cancer patients and matched non-breast cancer controls identified in the NIS dataset using ICD-9 diagnostic codes. Results suggest that under-diagnosis of mental health problems may be common among hospitalized women with a primary diagnosis of breast cancer. Future work may fruitfully explore reasons for, and consequences of, inappropriate identification of the mental health needs of breast cancer patients.

A survivorship care plan for breast cancer survivors: extended results of a randomized clinical trial

PURPOSE

Prevailing wisdom suggests that implementation of a survivorship care plan (SCP) will address deficits in survivorship care planning and delivery for cancer patients. Here, we present 24-month results of a randomized clinical trial on health service and patient-reported outcomes among breast cancer patients transferred to their primary care physician for follow-up care. The 24-month assessments represent the long-term benefit and sustainability of the implantation of a SCP.

METHODS

In all, 408 patients with early-stage breast cancer were randomized to the SCP or control group. Patient self-completed questionnaires, supplemented with telephone interviews, during the 24-month study period assessed health service and patient-reported outcomes. The primary outcome was cancer-specific distress. Secondary outcomes included health-related quality of life, patient satisfaction, continuity and coordination of care, and health service outcomes such as adherence to guidelines.

RESULTS

Over the course of 24 months, there were no differences between both groups in health service and patient-reported outcomes. Women from Quebec compared to those from Western Canada (p < 0.001), women within 2 years of completion of primary treatment compared to a longer period (p = 0.013), and those with a higher SF-36 mental component score compared to a lower score (p = 0.044) were positively associated with adherence to guidelines.

CONCLUSION

The implementation of a SCP in the transition of survivorship care from cancer center to primary care did not contribute to improved health service or patient-reported outcomes in this study population. Therefore, additional research is needed before widespread implementation of a SCP in clinical practice.

IMPLICATIONS OF CANCER SURVIVORS

The transition of survivorship care from cancer center to the primary care setting showed no negative effect on health service and patient-reported outcomes.

Effect of perceived social support on psychosocial adjustment of Turkish patients with breast cancer

AIMS

To identify the psychosocial adjustment of Turkish patients with breast cancer and the effects of perceived social support on their adjustment.

MATERIALS AND METHODS

The sample comprised 100 volunteering patients diagnosed with breast cancer in the last six months reporting to the Outpatient Chemotherapy Unit at the Medical Faculty Hospital in northern Turkey. The data for the study were collected through the Descriptive Information Form, the Psychosocial Adjustment to Illness Scale-Self-reflection (PAIS-SR) and the Cancer-Specific Social Support Scale and analyzed via SPSS 16.0 for Windows. Descriptive statistics, Chi square test, ANOVA and correlation were used to evaluate data.

RESULTS

There was a negative significant correlation between mean scores in the sub-scales of the social support scale and the ones in the sub-scales of the psychosocial adjustment to illness scale (p<0.05). Similarly, there was a negative significant correlation between confidence support and health care orientation as well as adjustment to social environment. Likewise, emotional support was in a negative significant correlation with health care orientation, adjustment to domestic environment, extended family relationships and adjustment to social environment.

CONCLUSIONS

It was concluded that social support for patients with breast cancer had an influence on their psychosocial adjustment to illness. Holistic care should be given to breast cancer patients by oncology nurses especially in the first six months of treatment. It could be concluded that patients should be accompanied by their family/relatives in treatment and care following their diagnosis with breast cancer, that their family should be made more aware of the fact that the patient should be physically and psychologically supported, that patients with breast cancer should be provided with domiciliary care, and that they should be encouraged to participate in social support groups.

Patients' experiences following breast cancer treatment: an exploratory survey of personal and work experiences of breast cancer patients from three European countries

Improved treatments for early breast cancer have led to a significant increase in overall survival. While evidence regarding potential long-term sequelae of adjuvant treatments exists, relatively little research reports patients' own perceptions of change before and after adjuvant chemotherapy (AC). This study aimed to identify key ongoing issues associated with AC in daily life. An online survey developed for this study was completed by 198 women (mean age 49.7 years) in the UK, France and Germany who had AC 1-5 years previously for oestrogen receptor positive, HER2 negative early breast cancer. Women without AC and endocrine therapy, those treated with Trastuzumab or who had recurrent disease were excluded. A third of women who responded were currently unable to perform their former family role. The majority had needed support, particularly with child care, during treatment. While 54% were in full-time employment before diagnosis this had reduced to 32% following AC. Of those women still working, over half reported difficulties with tiredness or concentration. Most (85.8%) were satisfied with healthcare professionals' treatment information, but only 29.7% received information about returning to work. This exploratory survey highlights areas of women's lives affected 1-5 years following AC for early breast cancer. The impact on returning to work and issues surrounding childcare particularly, require further study.

Assessment of the Quality of Life in Turkish Breast Cancer Patients

OBJECTIVE

Breast cancer significantly influences the quality of life (QoL) in women. The aim of this study was to assess the QoL in breast cancer patients and to determine the factors that have an effect on the QoL.

MATERIALS AND METHODS

We used sociodemographic data questionnaire, European Cancer Research and Treatment Organization QLQ-C30 questionnaire and linear regression analysis to determine the factors that affect the QLQ-C30 global health score, functional score, and symptom score.

RESULTS

This study included 113 patients with a median age of 50.61 years (range: 17-80 years). Half of the patients used complementary and alternative treatments, 45.5% used painkillers, and 19.4% used antidepressants. The most important factors related to the global health score were the place of birth, use of painkillers, and employment status. The most important factors related to the functional status were the disease stage at the time of diagnosis and the information status about the disease. The most important factors related to symptom status were age, the disease stage at the time of diagnosis, the information status about the disease, and psychiatric referral.

CONCLUSION

The findings indicated the consistency and strength of the relationship between clinical and sociodemographic factors and the QoL in breast cancer patients. Psychological support, when necessary, and the use of painkillers and antidepressants may improve the QoL in breast cancer patients.

Prospective associations of depression with survival: a population-based cohort study in patients with newly diagnosed breast cancer

Psychological factors may influence survival in breast cancer patients but results of previous research are inconclusive. This prospective population-based study tested whether depression predicts mortality in breast cancer patients. Routinely collected depression screening data were merged with electronically archived provincial cancer registry data and censored data from British Columbia Vital Statistics (extracted in December 2012). Cox proportional-hazards regression analyses were conducted to predict all-cause and breast cancer-specific mortality as a function of depression after controlling for biomedical confounders. Of 1,646 patients, 1,604 had breast cancer stages I-III and 42 had stage IV breast cancer. 176 (11.0 %) versus 28 (66.7 %) were deceased after a median follow-up of 76 months. In patients with curable breast cancer, depression predicted all-cause (HR = 1.54 (95 % CI 1.06-2.25); p = 0.024), but not breast cancer-specific mortality (HR = 1.51 (95 % CI 0.95-2.41); p = 0.084). No association was shown for metastatic disease. Stage-specific analyses demonstrated a 2-2.5-fold increase in breast cancer-specific and all-cause mortality in patients with stage I and II disease, but not in patients with stage III or IV breast cancer. In stage I breast cancer patients, age moderated effects of depression such that depressed younger patients diagnosed at age 45 (i.e., mean age -1SD) showed a ninefold (HR = 9.82 (95 % CI 2.26-42.68); p = 0.002) increase in all-cause mortality and depressed patients at 57 a 3.7-fold (HR = 3.69 (95 % CI 1.44-9.48); p = 0.007) increase, while no association was evident in older patients at age 69 (mean age +1SD). Depression is strongly associated with mortality in younger patients with early stage breast cancer.

Role functioning before start of adjuvant treatment was an independent prognostic factor for survival and time to failure. A report from the Nordic adjuvant interferon trial for patients with high-risk melanoma

PURPOSE

To investigate the role of health-related quality of life (HRQoL) at randomization as independent prognostic factors for survival and time to failure, and to explore associations between HRQoL and treatment effects.

MATERIAL AND METHODS

In the Nordic adjuvant interferon trial, a randomized trial evaluating if adjuvant therapy with intermediate-dose IFN had the same beneficial effects on overall and disease-free survival in high-risk melanoma as high-dose IFN, 855 patients in Denmark, Finland, Norway, and Sweden were included. The EORTC QLQ-C30 questionnaire was used to assess HRQoL before randomization.

RESULTS

A total of 785 (92%) agreed to participate in the HRQoL-study and provided baseline HRQoL data. Prognostic variables included in the multivariate model were age, sex, performance status, tumor thickness, stage, and number of positive lymph nodes. Univariate analyses revealed an association between prolonged survival and age, stage/ number of metastatic lymph nodes and the HRQoL variable role functioning (p ≤ 0.01). After controlling for other prognostic factors, these variables remained independently statistically significant for survival. The univariate analyses of time to failure showed significant associations with the clinical variable stage/nodes and with the HRQoL variables physical functioning and role functioning. Adjusted multivariate analyses including the same clinical conditions as above showed statistically significant relationships between time to failure and global quality of life, physical functioning, role functioning, social functioning and fatigue (p ≤ 0.01). No interactions between HRQoL variables and treatment were found, with the exception for cognitive functioning.

CONCLUSION

Role functioning was found to be an independent prognostic factor for time to failure and survival in patients with high-risk melanoma. Thus, also in this early stage of melanoma, HRQoL variables might be useful as important prognostic factors for time to failure and overall survival.

Health-related quality of life of patients with advanced breast cancer treated with everolimus plus exemestane versus placebo plus exemestane in the phase 3, randomized, controlled, BOLERO-2 trial

BACKGROUND

The randomized, controlled BOLERO-2 (Breast Cancer Trials of Oral Everolimus) trial demonstrated significantly improved progression-free survival with the use of everolimus plus exemestane (EVE + EXE) versus placebo plus exemestane (PBO + EXE) in patients with advanced breast cancer who developed disease progression after treatment with nonsteroidal aromatase inhibitors. This analysis investigated the treatment effects on health-related quality of life (HRQOL).

METHODS

Using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) questionnaire, HRQOL was assessed at baseline and every 6 weeks thereafter until disease progression and/or treatment discontinuation. The 30 items in 15 subscales of the QLQ-C30 include global health status wherein higher scores (range, 0-100) indicate better HRQOL. This analysis included a protocol-specified time to definitive deterioration (TDD) analysis at a 5% decrease in HRQOL versus baseline, with no subsequent increase above this threshold. The authors report additional sensitivity analyses using 10-point minimal important difference decreases in the global health status score versus baseline. Treatment arms were compared using the stratified log-rank test and Cox proportional hazards model adjusted for trial stratum (visceral metastases, previous hormone sensitivity), age, sex, race, baseline global health status score and Eastern Cooperative Oncology Group performance status, prognostic risk factors, and treatment history.

RESULTS

Baseline global health status scores were found to be similar between treatment groups (64.7 vs 65.3). The median TDD in HRQOL was 8.3 months with EVE + EXE versus 5.8 months with PBO + EXE (hazard ratio, 0.74; P = .0084). At the 10-point minimal important difference, the median TDD with EVE + EXE was 11.7 months versus 8.4 months with PBO + EXE (hazard ratio, 0.80; P = .1017).

CONCLUSIONS

In patients with advanced breast cancer who develop disease progression after treatment with nonsteroidal aromatase inhibitors, EVE + EXE was associated with a longer TDD in global HRQOL versus PBO + EXE.

The quality of life of hematological malignancy patients with major depressive disorder or subsyndromal depression

OBJECTIVE

The purpose of the present study was to compare the quality of life of hematological malignancy patients with major depressive disorder or subsyndromal depression.

METHOD

Sample consisted of 93 hematological malignancy patients recruited from oncology ward of Valieasr hospital for Imam Khomeini complex hospital at Tehran through purposeful sampling. Participants were divided into three groups through diagnostic interview based on DSM-IV-TR criteria and the Beck Depression Inventory-2 (BDI-II): Major depressive disorder (MDD) (n = 41; 44.1%); subsyndromal depression (SSD) (n = 23; 24.7%), and without depression (WD) (n = 29; 31.2%). Participants completed the short-form health survey (SF-36) as a measure of the quality of life. We carried out an analysis of covariance to examine the collected data.

RESULTS

Findings showed that there was not a significant difference between patients with MDD and SSD based on measure of quality of life. But patients with MDD and SSD showed significantly worse quality of life than patients with WD. This finding highlights the clinical importance of subsyndromal depressive symptoms and casts doubt on the clinical utility of separation between MDD and subsyndromal depression in terms of important clinical outcomes.

Health-related quality of life supersedes other psychosocial predictors of long-term survival in cancer patients undergoing radiotherapy

BACKGROUND

To investigate the prognostic value of several psychosocial factors for long-term survival in cancer patients.

MATERIAL AND METHODS

Baseline data were gathered in routine radiotherapy practice during 44 months. The analysis is based on 938 patients for whom follow-up data were available. Baseline psychosocial distress, depression, health-related quality of life (HRQOL), and life satisfaction were assessed using Questionnaire on Stress in Cancer Patients (QSC-R23), Self-Rating Depression Scale (SDS), Functional Assessment of Therapy - General (FACT-G) questionnaire, and Questions on Life Satisfaction (FLZ(M)). Patients were followed up for 7 to 10 years. Kaplan-Meier plots and Cox proportional hazards models were used to investigate associations between sociodemographic, clinical, psychosocial factors and overall survival (OS).

RESULTS

Patients' median survival time was 35 months (95% CI 28.9-41.1). Significant multivariate predictors of OS were age, health insurance type, Karnofsky performance status, cancer site, and cancer stage. Controlling for these variables, HRQOL was the only psychosocial predictor of survival (hazard ratio 0.988, 95% CI 0.979-0.997, p =0.009). The physical well-being and the functional well-being subscales of the FACT-G emerged as the relevant HRQOL facets predictive of survival.

CONCLUSION

HRQOL has incremental predictive value for long-term survival in cancer patients.

Evaluating survivorship care plans: results of a randomized, clinical trial of patients with breast cancer

PURPOSE

An Institute of Medicine report recommends that patients with cancer receive a survivorship care plan (SCP). The trial objective was to determine if an SCP for breast cancer survivors improves patient-reported outcomes.

PATIENTS AND METHODS

Women with early-stage breast cancer who completed primary treatment at least 3 months previously were eligible. Consenting patients were allocated within two strata: less than 24 months and ≥ 24 months since diagnosis. All patients were transferred to their own primary care physician (PCP) for follow-up. In addition to a discharge visit, the intervention group received an SCP, which was reviewed during a 30-minute educational session with a nurse, and their PCP received the SCP and guideline on follow-up. The primary outcome was cancer-related distress at 12 months, assessed by the Impact of Event Scale (IES). Secondary outcomes included quality of life, patient satisfaction, continuity/coordination of care, and health service measures.

RESULTS

Overall, 408 survivors were enrolled through nine tertiary cancer centers. There were no differences between groups on cancer-related distress or on any of the patient-reported secondary outcomes, and there were no differences when the two strata were analyzed separately. More patients in the intervention than control group correctly identify their PCP as primarily responsible for follow-up (98.7% v 89.1%; difference, 9.6%; 95% CI, 3.9 to 15.9; P = .005).

CONCLUSION

The results do not support the hypothesis that SCPs are beneficial for improving patient-reported outcomes. Transferring follow-up to PCPs is considered an important strategy to meet the demand for scarce oncology resources. SCPs were no better than a standard discharge visit with the oncologist to facilitate transfer.

Poor physical health predicts time to additional breast cancer events and mortality in breast cancer survivors

BACKGROUND

Health-related quality of life has been hypothesized to predict time to additional breast cancer events and all-cause mortality in breast cancer survivors.

METHODS

Women with early-stage breast cancer (n=2967) completed the SF-36 (mental and physical health-related quality of life) and standardized psychosocial questionnaires to assess social support, optimism, hostility, and depression prior to randomization into a dietary trial. Cox regression was performed to assess whether these measures of quality of life and psychosocial functioning predicted time to additional breast cancer events and all-cause mortality; hazard ratios were the measure of association.

RESULTS

There were 492 additional breast cancer events and 301 deaths occurred over a median 7.3 years (range: 0.01-10.8 years) of follow-up. In multivariate models, poorer physical health was associated with both decreased time to additional breast cancer events and all-cause mortality (p trend=0.005 and 0.004, respectively), while greater hostility predicted additional breast cancer events only (p trend=0.03). None of the other psychosocial variables predicted either outcome. The hazard ratios comparing persons with poor (bottom two quintiles) to better (top three quintiles) physical health were 1.42 (95% CI: 1.16, 1.75) for decreased time to additional breast cancer events and 1.37 (95% CI: 1.08, 1.74) for all-cause mortality. Potentially modifiable factors associated with poor physical health included higher body mass index, lower physical activity, lower alcohol consumption, and more insomnia (p<0.05 for all).

CONCLUSION

Interventions to improve physical health should be tested as a means to increase time to additional breast cancer events and mortality among breast cancer survivors.

Response to an abnormal ovarian cancer-screening test result: test of the social cognitive processing and cognitive social health information processing models

All cancer screening tests produce a proportion of abnormal results requiring follow up. Consequently, the cancer-screening setting is a natural laboratory for examining psychological and behavioural response to a threatening health-related event. This study tested hypotheses derived from the social cognitive processing and cognitive-social health information processing models in trying to understand response to an abnormal ovarian cancer (OC) screening test result. Women (n = 278) receiving an abnormal screening test result a mean of 7 weeks earlier were assessed prior to a repeat screening test intended to clarify their previous abnormal result. Measures of disposition (optimism, informational coping style), social environment (social support and constraint), emotional processing, distress, and benefit finding were obtained. Regression analyses indicated greater distress was associated with greater social constraint and emotional processing and a monitoring coping style in women with a family history of OC. Distress was unrelated to social support. Greater benefit finding was associated with both greater social constraint and support and greater distress. The primacy of social constraint in accounting for both benefit finding and distress was noteworthy and warrants further research on the role of social constraint in adaptation to stressful events.

Quality of life after breast cancer diagnosis and survival

PURPOSE

To examine the association of quality of life (QOL) after diagnosis of breast cancer with mortality and recurrence.

PATIENTS AND METHODS

From 2002 to 2004, a total of 2,230 breast cancer survivors completed the General Quality of Life Inventory-74 6 months after diagnosis as part of the Shanghai Breast Cancer Survivor Study. Also collected at baseline was information on demographic and clinical characteristics. At 36 months postdiagnosis, 1,845 of these women were re-evaluated for QOL. Outcomes were ascertained by in-person interview and record linkage to the vital statistics registry. The association of QOL with total mortality and cancer recurrence was assessed by using Cox regression analysis.

RESULTS

During a median follow-up of 4.8 years after the 6-month postdiagnosis QOL assessment, 284 deaths were identified. Recurrence was documented in 267 patients after 108 patients with stage IV breast cancer or recurrence before study enrollment were excluded. Women with the highest tertile of social well-being QOL score, compared with those with the lowest score, had a 38% decreased risk of mortality (95% CI, 0.46 to 0.85; P for trend = .002) and a 48% decreased risk of breast cancer recurrence (95% CI, 0.38 to 0.71; P for trend < .001). QOL assessed at 36 months postdiagnosis was not significantly associated with subsequent risk of mortality or recurrence.

CONCLUSION

Social well-being in the first year after cancer diagnosis is a significant prognostic factor for breast cancer recurrence or mortality, suggesting a possible avenue of intervention by maintaining or enhancing social support for women soon after their breast cancer diagnosis to improve disease outcomes.

Decrease in depression symptoms is associated with longer survival in patients with metastatic breast cancer: a secondary analysis

PURPOSE

Numerous studies have examined the comorbidity of depression with cancer, and some have indicated that depression may be associated with cancer progression or survival. However, few studies have assessed whether changes in depression symptoms are associated with survival.

METHODS

In a secondary analysis of a randomized trial of supportive-expressive group therapy, 125 women with metastatic breast cancer (MBC) completed a depression symptom measure (Center for Epidemiologic Studies-Depression Scale [CES-D]) at baseline and were randomly assigned to a treatment group or to a control group that received educational materials. At baseline and three follow-up points, 101 of 125 women completed a depression symptom measure. We used these data in a Cox proportional hazards analysis to examine whether decreasing depression symptoms over the first year of the study (the length of the intervention) would be associated with longer survival.

RESULTS

Median survival time was 53.6 months for women with decreasing CES-D scores over 1 year and 25.1 months for women with increasing CES-D scores. There was a significant effect of change in CES-D over the first year on survival out to 14 years (P = .007) but no significant interaction between treatment condition and CES-D change on survival. Neither demographic nor medical variables explained this association.

CONCLUSION

Decreasing depression symptoms over the first year were associated with longer subsequent survival for women with MBC in this sample. Further research is necessary to confirm this hypothesis in other samples, and causation cannot be assumed based on this analysis.

Self-reported health-related quality of life is an independent predictor of chemotherapy treatment benefit and toxicity in women with advanced breast cancer

Background:

Baseline health-related quality of life (QL) is associated with survival in advanced breast cancer. We sought to identify patients who were less likely to respond to chemotherapy and at greater risk of toxicity on the basis of their QL.

Methods:

We used data from three advanced breast cancer trials in which patients (n=378) were treated with cyclophosphamide, methotrexate and 5-fluouracil. Patients self-rated their QL using LASA scales for physical well-being (PWB), mood, pain, nausea/vomiting, appetite and overall QL. Multivariable regression models were constructed to compare overall survival (OS), objective tumour response (OTR), adverse events (AEs) and weight loss according to grouped QL scores.

Results:

Physical well-being, mood, appetite and overall QL were significant univariable predictors of OS. Physical well-being and appetite remained significant after adjustment for baseline biomedical factors. Poor PWB was associated with lower OTR (odds ratio (OR)=0.21, 95% confidence interval (CI) 0.09–0.51), higher risk of non-haematological AEs (OR=3.26, 95% CI 1.49–7.15) and greater risk of weight loss (OR 2.37, 95% CI 1.12–5.01) compared with good PWB.

Conclusion:

In women with advanced breast cancer, PWB and appetite are predictors of chemotherapy response and toxicity as well as survival. Quality of life should be a routine clinical assessment to guide patient selection for chemotherapy and for stratification of patients in clinical trials.

Surviving cervical cancer: does health-related quality of life influence survival?

OBJECTIVE

This study investigates the association between health-related quality of life (HRQOL) outcomes and survival status among a population-based cohort diagnosed with invasive cancer of the cervix uteri.

METHODS

This study is based on data from 353 multiethnic cervical cancer survivors (CCS) recruited through the California Cancer Surveillance Program. The independent variable is HRQOL measured by the FACT-CX (FACT-G plus additional items) and the SF-12. The dependent variable is survival from date of the HRQOL survey. Kaplan-Meier estimates and univariate and multivariate Cox Proportional Hazards Regression models were used to examine the relationship between HRQOL and survival.

RESULTS

In the Kaplan-Meier analyses, the FACT-CX functional well-being score equal to or above the median score was significantly associated with improved overall survival (X(2)=7.19; p=0.007). Significant differences in survival were observed for the SF-12 physical and mental health component scores. In the multivariate Cox regression analyses, the final model indicated that the FACT-CX total scores, functional well-being, and additional cervical cancer concerns subscales, and the SF-12 physical and mental component summary scores significantly influenced survival, after controlling for medical characteristics. However, the FACT components that do not include cervical cancer specific items including mean standardized FACT-G and physical, emotional, and social/family well-being subscales were not predictors of survival before and after adjustment for covariates.

CONCLUSIONS

The results of this study advance the current scientific knowledge by confirming that HRQOL outcomes, in particular the physical, function and mental health dimensions are associated with survival for CCS. These findings highlight the utility of cancer site specific HRQOL data to inform the psychosocial and symptom management aspects, as well as the medical follow-up care practice and research that may extend life.

Quality of life among women recently diagnosed with invasive breast cancer: the Pathways Study

Few studies have assessed quality of life (QOL) of women diagnosed with breast cancer within the first few weeks of their initial diagnosis. We describe QOL among 950 women recently diagnosed with invasive breast cancer. Starting in January 2006, we invited women aged > or =21 years who were diagnosed with first primary invasive breast cancer within Kaiser Permanente Northern California (KPNC) to enroll in the Pathways Study, a prospective study of breast cancer survivorship. QOL was measured using the Functional Assessment of Cancer Therapy-Breast Cancer (FACT-B), along with sociodemographic and social support information. Clinical characteristics were obtained from the KPNC cancer registry and electronic medical record. We used multivariable linear regression models to identify factors associated with QOL scores calculated from the FACT-B. The mean age +/- SD of the sample was 59.6 years (+/-11.9 years), and the mean time +/-SD from diagnosis until interview was 8.0 weeks (+/-3.2 weeks). Younger age at diagnosis was associated with lower scores in all QOL domains (P < 0.01), and later stage at diagnosis was associated with lower scores in all domains (P < 0.05) except for social well-being. Higher levels of social support were associated with higher QOL except for physical well-being (P < 0.05). These associations were stronger within 2 months of breast cancer diagnosis. Quality of life as influenced by a diagnosis of breast cancer is an important factor in cancer survivorship. Age, stage at diagnosis, and social support are key factors in this important variable.

Quality of life data as prognostic indicators of survival in cancer patients: an overview of the literature from 1982 to 2008

BACKGROUND

Health-related quality of life and survival are two important outcome measures in cancer research and practice. The aim of this paper is to examine the relationship between quality of life data and survival time in cancer patients.

METHODS

A review was undertaken of all the full publications in the English language biomedical journals between 1982 and 2008. The search was limited to cancer, and included the combination of keywords 'quality of life', 'patient reported-outcomes' 'prognostic', 'predictor', 'predictive' and 'survival' that appeared in the titles of the publications. In addition, each study was examined to ensure that it used multivariate analysis. Purely psychological studies were excluded. A manual search was also performed to include additional papers of potential interest.

RESULTS

A total of 451 citations were identified in this rapid and systematic review of the literature. Of these, 104 citations on the relationship between quality of life and survival were found to be relevant and were further examined. The findings are summarized under different headings: heterogeneous samples of cancer patients, lung cancer, breast cancer, gastro-oesophageal cancers, colorectal cancer, head and neck cancer, melanoma and other cancers. With few exceptions, the findings showed that quality of life data or some aspects of quality of life measures were significant independent predictors of survival duration. Global quality of life, functioning domains and symptom scores - such as appetite loss, fatigue and pain - were the most important indicators, individually or in combination, for predicting survival times in cancer patients after adjusting for one or more demographic and known clinical prognostic factors.

CONCLUSION

This review provides evidence for a positive relationship between quality of life data or some quality of life measures and the survival duration of cancer patients. Pre-treatment (baseline) quality of life data appeared to provide the most reliable information for helping clinicians to establish prognostic criteria for treating their cancer patients. It is recommended that future studies should use valid instruments, apply sound methodological approaches and adequate multivariate statistical analyses adjusted for socio-demographic characteristics and known clinical prognostic factors with a satisfactory validation strategy. This strategy is likely to yield more accurate and specific quality of life-related prognostic variables for specific cancers.

Responsiveness of the EQ-5D in breast cancer patients in their first year after treatment

BACKGROUND/AIM

The EQ-5D is a generic health-related quality of life (HRQoL) measure that is used for the purpose of economic evaluations of health interventions. Therefore, it has to be responsive to meaningful changes in health in the patient population under investigation. The aim of this study was to investigate the responsiveness of the EQ-5D in breast cancer patients in their first year after treatment.

METHODS

The subscale global health of the disease-specific HRQoL measure EORTC QLQ-C30 was used as a reference instrument to determine meaningful changes in health and identify subgroups of patients: patients reporting a moderate-large deterioration, small deterioration, a small improvement, moderate-large improvement, or no change in health status. Responsiveness was evaluated by calculating standardized response means (SRMs) in the five subgroups of patients and performing analysis of variance procedures. The two HRQoL measures were filled out two weeks and one year after finalizing curative treatment for breast cancer (n = 192).

RESULTS

The EQ-5D was able to capture both improvements and deteriorations in HRQoL. SRMs of the EQ VAS and EQ-5D Index were close to zero in the subgroup reporting no change and increased and decreased adequately in the subgroups reporting small and moderate changes. Additional analysis of variance procedures showed that the EQ-5D was able to differentiate between subgroups of patients with no change and moderate-large deterioration or improvement in health.

CONCLUSION

The EQ-5D seems an appropriate measure for the purpose of economic evaluations of health intervention in breast cancer patients after treatment.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN74071417.

Responsiveness of the EQ-5D in breast cancer patients in their first year after treatment

Background/aim

The EQ-5D is a generic health-related quality of life (HRQoL) measure that is used for the purpose of economic evaluations of health interventions. Therefore, it has to be responsive to meaningful changes in health in the patient population under investigation. The aim of this study was to investigate the responsiveness of the EQ-5D in breast cancer patients in their first year after treatment.

Methods

The subscale global health of the disease-specific HRQoL measure EORTC QLQ-C30 was used as a reference instrument to determine meaningful changes in health and identify subgroups of patients: patients reporting a moderate-large deterioration, small deterioration, a small improvement, moderate-large improvement, or no change in health status. Responsiveness was evaluated by calculating standardized response means (SRMs) in the five subgroups of patients and performing analysis of variance procedures. The two HRQoL measures were filled out two weeks and one year after finalizing curative treatment for breast cancer (n = 192).

Results

The EQ-5D was able to capture both improvements and deteriorations in HRQoL. SRMs of the EQ VAS and EQ-5D Index were close to zero in the subgroup reporting no change and increased and decreased adequately in the subgroups reporting small and moderate changes. Additional analysis of variance procedures showed that the EQ-5D was able to differentiate between subgroups of patients with no change and moderate-large deterioration or improvement in health.

Conclusion

The EQ-5D seems an appropriate measure for the purpose of economic evaluations of health intervention in breast cancer patients after treatment.

Trial registration

Current Controlled Trials ISRCTN74071417.

Cytokines and their relationship to the symptoms and outcome of cancer

Tumours contain immune cells and a network of pro- and anti-inflammatory cytokines, which collaborate in the development and progression of cancer. Cytokine profiles might prove to be prognostic. The systemic effects of pro-inflammatory cytokines are associated with fatigue, depression and cognitive impairment, and can affect quality of life before, during and after treatment. In people with advanced cancer, pro-inflammatory cytokines are additionally associated with anorexia and cachexia, pain, toxicity of treatment and resistance to treatment. However, physical activity might modify cytokine levels and decrease fatigue in patients with cancer, and might also improve their prognosis.

Breast cancer recurrence risk in relation to antidepressant use after diagnosis

BACKGROUND

While laboratory data suggest that antidepressants may promote mammary tumor growth, there has been little research investigating whether antidepressant use after breast cancer diagnosis is associated with the risk of breast cancer recurrence.

METHODS

We conducted a retrospective cohort study within Group Health, an integrated healthcare delivery system in Washington state. Women diagnosed with a first primary invasive, stage I, IIA, or IIB, unilateral breast carcinoma between 1990-1994 (aged>or=65 years) and 1996-1999 (aged>or=18 years) were eligible for the study (N=1306). Recurrence within 5-year of diagnosis was ascertained by medical chart review. We used the pharmacy database to identify antidepressant dispensings from Group Health pharmacies. We used multiple Cox regression to estimate the hazard ratio for recurrence and breast cancer mortality, comparing users and non-users of antidepressant medications. Results for recurrence were examined separately in users and non-users of tamoxifen.

RESULTS

We did not observe an association between antidepressant use after breast cancer diagnosis and the risk of recurrence either in general (hazard ratio for any antidepressant use: 0.8; 95% confidence interval: 0.5-1.4) or for specific types of antidepressant medication. Risk of death from breast cancer did not differ between non-users and users of antidepressants.

CONCLUSIONS

The results of this study suggest that women who use antidepressants after breast cancer diagnosis do not have an increased risk of recurrence or mortality.

Psychosocial factors and survival of young women with breast cancer: a population-based prospective cohort study

PURPOSE

Most women with early-stage breast cancer believe that psychosocial factors are an important influence over whether their cancer will recur. Studies of the issue have produced conflicting results.

PATIENTS AND METHODS

A population-based sample of 708 Australian women diagnosed before age 60 years with nonmetastatic breast cancer was observed for a median of 8.2 years. Depression and anxiety, coping style, and social support were assessed at a median of 11 months after diagnosis. Hazard ratios for distant disease-free survival (DDFS) and overall survival (OS) associated with psychosocial factors were estimated separately using Cox proportional hazards survival models, with and without adjustment for known prognostic factors.

RESULTS

Distant recurrence occurred in 209 (33%) of 638 assessable patients, and 170 (24%) of 708 patients died during the follow-up period. There were no statistically significant associations between any of the measured psychosocial factors and DDFS or OS from the adjusted analyses. From unadjusted analyses, associations between greater anxious preoccupation and poorer DDFS and OS were observed (P = .02). These associations were no longer evident after adjustment for established prognostic factors; greater anxious preoccupation was associated with younger age at diagnosis (P = .03), higher tumor grade (P = .02), and greater number of involved axillary nodes (P = .008).

CONCLUSION

The findings do not support the measured psychosocial factors being an important influence on breast cancer outcomes. Interventions for adverse psychosocial factors are warranted to improve quality of life but should not be expected to improve survival.

Health-related quality of life in breast cancer patients: a bibliographic review of the literature from 1974 to 2007

Background

Quality of life in patients with breast cancer is an important outcome. This paper presents an extensive overview on the topic ranging from descriptive findings to clinical trials.

Methods

This was a bibliographic review of the literature covering all full publications that appeared in English language biomedical journals between 1974 and 2007. The search strategy included a combination of key words 'quality of life' and 'breast cancer' or 'breast carcinoma' in titles. A total of 971 citations were identified and after exclusion of duplicates, the abstracts of 606 citations were reviewed. Of these, meetings abstracts, editorials, brief commentaries, letters, errata and dissertation abstracts and papers that appeared online and were indexed ahead of publication were also excluded. The remaining 477 papers were examined. The major findings are summarized and presented under several headings: instruments used, validation studies, measurement issues, surgical treatment, systemic therapies, quality of life as predictor of survival, psychological distress, supportive care, symptoms and sexual functioning.

Results

Instruments-Several valid instruments were used to measure quality of life in breast cancer patients. The European Organization for Research and Treatment of Cancer Core Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and its breast cancer specific complementary measure (EORTC QLQ-BR23) and the Functional Assessment Chronic Illness Therapy General questionnaire (FACIT-G) and its breast cancer module (FACIT-B) were found to be the most common and well developed instruments to measure quality of life in breast cancer patients. Surgery-different surgical procedures led to relatively similar results in terms of quality of life assessments, although mastectomy patients compared to conserving surgery patients usually reported a lower body image and sexual functioning. Systemic therapies-almost all studies indicated that breast cancer patients receiving chemotherapy might experience several side-effects and symptoms that negatively affect their quality of life. Adjuvant hormonal therapies also were found to have similar negative impact on quality of life, although in general they were associated with improved survival. Quality of life as predictor of survival-similar to known medical factors, quality of life data in metastatic breast cancer patients was found to be prognostic and predictive of survival time. Psychological distress-anxiety and depression were found to be common among breast cancer patients even years after the disease diagnosis and treatment. Psychological factors also were found to predict subsequent quality of life or even overall survival in breast cancer patients. Supportive care-clinical treatments to control emesis, or interventions such as counseling, providing social support and exercise could improve quality of life. Symptoms-Pain, fatigue, arm morbidity and postmenopausal symptoms were among the most common symptoms reported by breast cancer patients. As recommended, recognition and management of these symptoms is an important issue since such symptoms impair health-related quality of life. Sexual functioning-breast cancer patients especially younger patients suffer from poor sexual functioning that negatively affect quality of life.

Conclusion

There was quite an extensive body of the literature on quality of life in breast cancer patients. These papers have made a considerable contribution to improving breast cancer care, although their exact benefit was hard to define. However, quality of life data provided scientific evidence for clinical decision-making and conveyed helpful information concerning breast cancer patients' experiences during the course of the disease diagnosis, treatment, disease-free survival time, and recurrences; otherwise finding patient-centered solutions for evidence-based selection of optimal treatments, psychosocial interventions, patient-physician communications, allocation of resources, and indicating research priorities were impossible. It seems that more qualitative research is needed for a better understanding of the topic. In addition, issues related to the disease, its treatment side effects and symptoms, and sexual functioning should receive more attention when studying quality of life in breast cancer patients.