Clustering of EORTC QLQ-C30 health-related quality of life scales across several cancer types: Validation study.

INTRODUCTION: The European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (EORTC QLQ-C30) measures 15 health-related quality of life (HRQoL) scales relevant to the disease and treatment of patients with cancer. A study by Martinelli (2011) demonstrated that these scales could be grouped into three main clusters: physical, psychological and gastrointestinal. This study aims to validate Martinelli's findings in an independent dataset and evaluate whether these clusters are consistent across cancer types and patient characteristics. METHODS: Pre-defined criteria for successful validation were three main clusters should emerge with a minimum R-squared value of 0.51 using pooled baseline-data. A cluster analysis was performed on the 15 QLQ-C30 HRQoL-scales in the overall dataset, as well as by cancer type and selected patient characteristics to examine the robustness of the results. RESULTS: The dataset consisted of 20,066 patients pooled across 17 cancer types. Overall, three main clusters were identified (R2 = 0.61); physical-cluster included role-functioning, physical-functioning, social-functioning, fatigue, pain, and global-health status; psychological-cluster included emotional-functioning, cognitive-functioning, and insomnia; gastro-intestinal-cluster included nausea/vomiting and appetite loss. The results were consistent across different levels of disease severity, socio-demographic and clinical characteristics with minor variations by cancer type. Global-health status was found to be strongly linked to the scales included in the physical-functioning-related cluster. CONCLUSION: This study successfully validated prior findings by Martinelli (2011): the QLQ-C30 scales are interrelated and can be grouped into three main clusters. Knowing how these multidimensional HRQoL scales are related to each other can help clinicians and patients with cancer in managing symptom burden, guide policymakers in defining social-support plans and inform selection of HRQoL scales in future clinical trials.

Current state of quality of life and patient-reported outcomes research.

The 5th EORTC Quality of Life in Cancer Clinical Trials Conference presented the current state of quality of life and other patient-reported outcomes (PROs) research from the perspectives of researchers, regulators, industry representatives, patients and patient advocates and health care professionals. A major theme was the assessment of the burden of cancer treatments, and this was discussed in terms of regulatory challenges in using PRO assessments in clinical trials, patients' experiences in cancer clinical trials, innovative methods and standardisation in cancer research, innovative methods across the disease sites or populations and cancer survivorship. Conferees demonstrated that PROs are becoming more accepted and major efforts are ongoing internationally to standardise PROs measurement, analysis and reporting in trials. Regulators are keen to collaborate with all stakeholders to ensure that the right questions are asked and the right answers are communicated. Improved technology and increased flexibility of measurement instruments are making PROs data more robust. Patients are being encouraged to be patient partners. International collaborations are essential, because this work cannot be accomplished on a national level.

The Added Value of Analyzing Pooled Health-Related Quality of Life Data: A Review of the EORTC PROBE Initiative.

BACKGROUND: The European Organisation for Research and Treatment of Cancer (EORTC) Patient-Reported Outcomes and Behavioural Evidence (PROBE) initiative was established to investigate critical topics to better understand health-related quality of life (HRQOL) of cancer patients and to educate clinicians, policy makers, and healthcare providers. METHODS: The aim of this paper is to review the major research outcomes of the pooled analysis of HRQOL data along with the clinical data. We identified 30 pooled EORTC randomized controlled trials (RCTs), 18 NCIC-Clinical Trials Group RCTs, and two German Ovarian Cancer Study Group RCTs, all using the EORTC QLQ-C30. All statistical tests were two-sided. RESULTS: Evidence was found that HRQOL data can offer prognostic information beyond clinical measures and improve prognostic accuracy in cancer RCTs (by 5.9%-8.3%). Moreover, models that considered both patient- and clinician-reported scores gained more prognostic overall survival accuracy for fatigue (P < .001), vomiting (P = .01), nausea (P < .001), and constipation (P = .01). Greater understanding of the association between symptom and/or functioning scales was developed by identifying physical, psychological, and gastrointestinal clusters. Additionally, minimally important differences in interpreting HRQOL changes for improvement and deterioration were found to vary across different patient populations and disease stages. Finally, HRQOL scores are statistically significantly affected by deviations from the intended time point at which the questionnaire is completed. CONCLUSIONS: The use of existing pooled data shows that it is possible to learn about general aspects of cancer HRQOL and methodology. Our work shows that setting up international pooled datasets holds great promise for understanding patients' unmet psychosocial needs and calls for additional empirical investigation to improve clinical care and understand cancer through retrospective HRQOL analyses.

A global analysis of multitrial data investigating quality of life and symptoms as prognostic factors for survival in different tumor sites.

BACKGROUND: The objective of this study was to examine the prognostic value of baseline health-related quality of life (HRQOL) for survival with regard to different cancer sites using 1 standardized and validated patient self-assessment tool. METHODS: In total, 11 different cancer sites pooled from 30 European Organization for Research and Treatment of Cancer (EORTC) randomized controlled trials were selected for this study. For each cancer site, univariate and multivariate Cox proportional hazards modeling was used to assess the prognostic value (P< .05) of 15 HRQOL parameters using the EORTC Core Quality of Life Questionnaire (QLQ-C30). Models were adjusted for age, sex, and World Health Organization performance status and were stratified by distant metastasis. RESULTS: In total, 7417 patients completed the EORTC QLQ-C30 before randomization. In brain cancer, cognitive functioning was predictive for survival; in breast cancer, physical functioning, emotional functioning, global health status, and nausea and vomiting were predictive for survival; in colorectal cancer, physical functioning, nausea and vomiting, pain, and appetite loss were predictive for survival; in esophageal cancer, physical functioning and social functioning were predictive for survival; in head and neck cancer, emotional functioning, nausea and vomiting, and dyspnea were predictive for survival; in lung cancer, physical functioning and pain were predictive for survival; in melanoma, physical functioning was predictive for survival; in ovarian cancer, nausea and vomiting were predictive for survival; in pancreatic cancer, global health status was predictive for survival; in prostate cancer, role functioning and appetite loss were predictive for survival; and, in testis cancer, role functioning was predictive for survival. CONCLUSIONS: The current results demonstrated that, for each cancer site, at least 1 HRQOL domain provided prognostic information that was additive over and above clinical and sociodemographic variables.

Development of an EORTC quality of life phase III module measuring cancer-related fatigue (EORTC QLQ-FA13).

BACKGROUND: European Organisation for Research and Treatment of Cancer (EORTC) has developed a new multidimensional instrument measuring cancer-related fatigue that can be used in conjunction with the quality of life core questionnaire, EORTC QLQ-C30. The paper focuses on the development of the phase III module, collaborating with seven European countries, including a patient sample of 318 patients. METHODS: The methodology followed the EORTC guidelines for developing phase III modules. Patients were assessed by questionnaires (EORTC QLQ-C30 with the EORTC Fatigue Module FA15) followed by an interview, asking for their opinions on the difficulty in understanding, on annoyance and on intrusiveness. RESULTS: The phase II FA15 was revised on the basis of qualitative analyses (comments of the patients), quantitative results (descriptive statistics) as well as the multi-item response theory analyses. The three dimensions (physical, emotional and cognitive) of the scale could be confirmed. CONCLUSIONS: As a result, EORTC QLQ-FA13 is now available as a valid phase III module measuring cancer-related fatigue in clinical trials and will be psychometrically improved in the upcoming phase IV.

When a parent has cancer: challenges to patients, their families and health providers.

At least 14% of cancer patients live with minor children. Being a parent with cancer has far-reaching consequences for individual treatment decision-making and quality of life in patients and their families. Even though the majority of children and adolescents do not show clinically relevant symptoms of psychopathology, worries about the survival of the parent and the future development of the family are present, and experienced as distressing, in most children. Open communication by parents and clinicians has been found to be of major importance for children and adolescents in adjusting to parental cancer. Support for parents with cancer on relevant parenting issues, starting in the diagnostic phase, should be acknowledged as an important facet of cancer care to reduce the psychosocial burden for cancer patients and their families.

Patient self-reports of symptoms and clinician ratings as predictors of overall cancer survival.

BACKGROUND: The National Cancer Institute's Common Terminology Criteria for Adverse Events (NCI-CTCAE) reporting system is widely used by clinicians to measure patient symptoms in clinical trials. The European Organization for Research and Treatment of Cancer's Quality of Life core questionnaire (EORTC QLQ-C30) enables cancer patients to rate their symptoms related to their quality of life. We examined the extent to which patient and clinician symptom scoring and their agreement could contribute to the estimation of overall survival among cancer patients. METHODS: We analyzed baseline data regarding six cancer symptoms (pain, fatigue, vomiting, nausea, diarrhea, and constipation) from a total of 2279 cancer patients from 14 closed EORTC randomized controlled trials. In each trial that was selected for retrospective pooled analysis, both clinician and patient symptom scoring were reported simultaneously at study entry. We assessed the extent of agreement between clinician vs patient symptom scoring using the Spearman and kappa correlation statistics. After adjusting for age, sex, performance status, cancer severity, and cancer site, we used Harrell concordance index (C-index) to compare the potential for clinician-reported and/or patient-reported symptom scores to improve the accuracy of Cox models to predict overall survival. All P values are from two-sided tests. RESULTS: Patient-reported scores for some symptoms, particularly fatigue, did differ from clinician-reported scores. For each of the six symptoms that we assessed at baseline, both clinician and patient scorings contributed independently and positively to the predictive accuracy of survival prognostication. Cox models of overall survival that considered both patient and clinician scores gained more predictive accuracy than models that considered clinician scores alone for each of four symptoms: fatigue (C-index = .67 with both patient and clinician data vs C-index = .63 with clinician data only; P <.001), vomiting (C-index = .64 vs .62; P = .01), nausea (C-index = .65 vs .62; P < .001), and constipation (C-index = .62 vs .61; P = .01). CONCLUSION: Patients provide a subjective measure of symptom severity that complements clinician scoring in predicting overall survival.

Examining the relationships among health-related quality-of-life indicators in cancer patients participating in clinical trials: a pooled study of baseline EORTC QLQ-C30 data.

AIMS: Cancer patients experience multiple and concurrent health-related problems and symptoms due to their illness and therapies. The first objective of this analysis was to identify how health-related quality-of-life (HRQoL) indicators cluster among cancer patients and how possible clusters change across patients with different sociodemographic and clinical characteristics. The second objective of this study was to identify which HRQoL indicators are linked to patients' perception of overall quality of life. METHODS: Retrospective pooling of 30 closed randomized European Organisation for Research and Treatment of Cancer (EORTC) clinical trials yielded baseline EORTC Quality of Life Core Questionnaire (QLQ-C30) HRQoL data for a total of 7417 patients. A cluster analysis was performed to determine how the 15 HRQoL indicators obtained with the QLQ-C30 cluster overall and by patient characteristics. RESULTS: Three main clusters emerged from the overall dataset: a physical cluster, a psychological cluster and a gastrointestinal cluster. The same clusters were found in subgroups defined according to sociodemographic and clinical characteristics, while some differences emerged among cancer sites. The Global Health scale was found to be part of the physical cluster in the overall dataset. This result was consistent across different levels of disease severity, while divergent results were seen across some cancer sites. CONCLUSION: Our findings suggest that HRQoL indicators are interrelated. Understanding these relationships may aid clinicians in managing the symptom burden experienced by patients, as well as policy-makers, in defining psychosocial support plans.

Minimal important differences for interpreting health-related quality of life scores from the EORTC QLQ-C30 in lung cancer patients participating in randomized controlled trials.

BACKGROUND: The aim of this study was to determine the smallest changes in health-related quality of life (HRQOL) scores in a subset of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire core 30 (EORTC QLQ-C30) scales, which could be considered as clinically meaningful in patients with non-small-cell lung cancer (NSCLC). METHODS: WHO performance status (PS) and weight change were used as clinical anchors to determine minimal important differences (MIDs) in HRQOL change scores (range, 0-100) in the EORTC QLQ-C30 scales. Selected distribution-based methods were used for comparison. FINDINGS: In a pooled dataset of 812 NSCLC patients undergoing treatment, the values determined to represent the MID depended on whether patients were improving or deteriorating. MID estimates for improvement (based on a one-category change in PS, 5 - <20% weight gain) were physical functioning (9, 5); role functioning (14, 7); social functioning (5, 7); global health status (9, 4); fatigue (14, 5); and pain (16, 2). The respective MID estimates for deterioration (based on PS, weight loss) were physical (4, 6); role (5, 5); social (7, 9); global health status (4, 4); fatigue (6, 11); and pain (3, 7). INTERPRETATION: Based on the selected QLQ-C30 scales, the MID may depend upon whether the patients' PS is improving or worsening, but our results are not definitive. The MID estimates for the specified scales can help clinicians and researchers evaluate the significance of changes in HRQOL and assess the value of a health care intervention or compare treatments. The estimates also can be useful in determining sample sizes in the design of future clinical trials.

Quality of life after successful treatment of early-stage Hodgkin's lymphoma: 10-year follow-up of the EORTC-GELA H8 randomised controlled trial.

BACKGROUND: Little is known about the longitudinal course of health-related quality of life (HRQoL) in patients with Hodgkin's lymphoma during their post-treatment follow-up and re-adaptation to normal life. We report on the HRQoL of patients treated in the randomised H8 trial of the European Organisation for Research and Treatment of Cancer (EORTC) Lymphoma Group and the Groupe d'Etudes des Lymphomes de l'Adulte (GELA). We aimed to assess HRQoL and fatigue following treatment, to analyse relations with treatment, and to identify factors that predict persistent fatigue. METHODS: Patients received HRQoL questionnaires at the end of primary therapy and during follow-up. The EORTC QLQ-C30 was used to assess HRQoL, and the Multidimensional Fatigue Inventory (MFI-20) was used to assess fatigue. Changes of mean HRQoL scores over time were analysed with mixed models. Multiple polytomic nominal logistic regression was done to identify independent baseline predictors of fatigue within MFI-20 dimensions. Analyses were done on an intention-to-treat basis. This study is registered with www.ClinicalTrials.gov, number NCT00379041. FINDINGS: 2666 assessments from 935 patients were analysed. Mean follow-up was 90 months (range 52-118). Age affected all functioning and symptom scores except emotional functioning, with younger age associated with higher functioning and lower severity of symptoms; improvement with time showed similar patterns between age groups. Women reported lower HRQoL and higher symptom scores than did men. Overall, 3.2% (14/439 for role functioning) to 9.7% (43/442 for social functioning) and 5.8% (29/498 for reduced motivation) to 9.9% (49/498 for general fatigue) of patients reported impairments of 10 points or more (on a 0-100 scale) in QLQ-C30 and MFI-20 scores, respectively, independent of age and sex. Emotional domains were more affected than physical ones. There was no relation between HRQoL outcome and type of treatment. Fatigue (MFI-20 scores) at the end of treatment was the only predictive variable for persistent fatigue, with odds ratios varying from 2.58 (95% CI 1.00-6.67) to 41.51 (12.02-143.33; p

Beyond the development of health-related quality-of-life (HRQOL) measures: a checklist for evaluating HRQOL outcomes in cancer clinical trials--does HRQOL evaluation in prostate cancer research inform clinical decision making?

PURPOSE: The aim of this study was to evaluate whether the inclusion of health-related quality of life (HRQOL), as a part of the trial design in a randomized controlled trial (RCT) setting, has supported clinical decision making for the planning of future medical treatments in prostate cancer. MATERIALS AND METHODS: A minimum standard checklist for evaluating HRQOL outcomes in cancer clinical trials was devised to assess the quality of the HRQOL reporting and to classify the studies on the grounds of their robustness. It comprises 11 key HRQOL issues grouped into four broader sections: conceptual, measurement, methodology, and interpretation. Relevant studies were identified in a number of databases, including MEDLINE and the Cochrane Controlled Trials Register. Both their HRQOL and traditional clinical reported outcomes were systematically analyzed to evaluate their consistency and their relevance for supporting clinical decision making. RESULTS: Although 54% of the identified studies did not show any differences in traditional clinical end points between treatment arms and 17% showed a difference in overall survival, 74% of the studies showed some difference in terms of HRQOL outcomes. One third of the RCTs provided a comprehensive picture of the whole treatment including HRQOL outcomes to support their conclusions. CONCLUSION: A minimum set of criteria for assessing the reported outcomes in cancer clinical trials is necessary to make informed decisions in clinical practice. Using a checklist developed for this study, it was found that HRQOL is a valuable source of information in RCTs of treatment in metastatic prostate cancer.

[School refusal: classification, developmental psychopathology, prognosis and therapeutic approaches]. / Schulverweigerung: Klassifikation, Entwicklungspsychopathologie, Prognose und therapeutische Ansätze.

In many cases the refusal of school is one manifestation of a complex psychiatric disorder. There is an increased comorbidity with depression, phobia and other anxiety disorders. The program of therapy should be conceptualized as multimodal. In general there is no rapid remission of the symptoms. As catamnestic studies proved, long-term consequences should be anticipated concerning the occupational integration as well as further psychiatric morbidity. Triggering and sustainable factors are heterogeneous and there is no typical psychosocial pattern.

Fatigue and quality of life: lessons from the real world.

The impact of fatigue on the quality of life of oncology patients is substantial and under-recognized. Fatigue in these patients may begin with a simple decrease in physical activity, but can progress to include a wide range of negative effects that often culminate in patients feeling out of control, lonely, and isolated. In general, surviving cancer patients experience some limitations after the end of treatment but ultimately attain a reasonably good level of functioning. An examination of subpopulations and further analyses of data suggest, however, four different recovery patterns. Patients may: A) improve in their functioning, reach a plateau at approximately year 2 or 3, and then remain at relatively high levels of functioning; B) improve initially, but deteriorate again after year 2 or 3, never reaching the normal stage; C) improve, returning to normal; or D) have a very mixed pattern of high levels of fatigue that is, to date, very difficult to interpret. Disturbingly, 60% of the survivors in our population of patients with Hodgkin's disease, who were treated in recent trials of the German Hodgkin Study Group and the European Organization for Research and Treatment of Cancer Lymphoma Group, had medium to high levels of fatigue after 5 cancer-free years. Investigations are essential to determine the current status of long-term survivors in more detail and to link that status to conditions observed during the treatment of acutely ill patients.

[Subjective quality of life of children and adolescents with psychiatric disorders: development and validation of a new assessment scale]. / Zur subjektiven Lebensqualität von Kindern und Jugendlichen mit psychischen Störungen: Entwicklung und Validierung eines neuen Erhebungsinstruments.

Within paediatric disciplines and in particular in child and adolescent psychiatry very little work is available regarding the quality of life (QoL) of patients. After using literature search and interviews for identifying the relevant QoL domains, a set of self report questionnaires (for the parents: proxy rating) was developed (C-version: children 10 to 14 years, A-version: adolescents 14 to 18 years, P-version: parental proxy rating about child/adolescent). It was aimed at an almost identical wording within each questionnaire version in regard to the different QoL domains. The questionnaires should not primarily address symptomatology (like e.g. the Child Behaviour Checklist by Achenbach and Edelbrock 1983). After a pilot phase ensuring adequacy and appropriateness of the forms, the questionnaires were field tested in a consecutive series of nearly 700 patients which were referred to the Cologne university department of child and adolescent psychiatry for diagnosis and treatment between 1996 and 2000. The intended structure of the questionnaire system with symptom and functioning scales concerning the domains: "physical performance, fatigue, anxiety, depression, peer group, school, family, beliefs, general QoL" and some further single questions was confirmed by psychometric testing (validity and reliability). Interscale correlations were in general moderate, exhibiting the expected pattern. Analyses of variances using the method of "known groups comparisons" showed e.g. age, sex, and diagnosis related effects hinting towards clinically meaningful differences. The questionnaire forms were well accepted and understood by patients and parents and the wording of the addressed topics was reported to be adequate. Further work will include the psychopathological findings and will focus on specific subgroups of patients (e.g. different diagnoses) as well as on the longitudinal observation of special patient groups, e.g. patients with eating disorders. It can be concluded that the new QoL instruments were successfully employed in a consecutive series of patients and showed very sufficient psychometric properties.