Behaviors and Mental Disorders

All Conditions

Neoplasms

Blood and Lymph Conditions

Cognitive Dysfunction

Hematologic Neoplasms

Hematologic Diseases

The arm will begin the Lumosity program at enrollment in the study.

The arm will begin the Lumosity program 3 months after enrollment in the study.

Computer-based online cognitive training program using the Lumosity cognitive training program.

Lumosity

Computer-based online cognitive training program using the Lumosity cognitive training program. The control group will receive the intervention after a waiting period of 12 weeks.

Lumosity (waitlist control)

Noha M Sharafeldin, MD,MSc, PhD

Lindsey Hageman, MPH

Noha Sharafeldin, MD, MSc, PhD

Lindsey Hageman, MPH, CCRP

Noha M Sharafeldin

A pilot study to evaluate feasibility of enrollment of patients in an intervention to improve neurocognitive function in hematopoietic cell transplantation (HCT) survivors using the cognitive training Lumosity program. In addition, patients' interest in receiving information regarding genetic risk of cognitive impairment post-HCT will be measured.

The investigators propose using an "off-the-shelf" product - Lumosity (http://www.lumosity.com/) - an online cognitive training program, to address the cognitive impairment in outpatient HCT survivors. The program offers over 60 tasks in game-like format that cover the main cognitive domains: processing speed, working memory, and executive function. Training will involve a daily session of 5 training tasks for 12 weeks. Each time the patient is logged in for a session, a customized report will be generated by the Lumosity program to capture performance information.

Ideally, targeting the intervention and offering it specifically to those at highest risk (integrating clinical and genetic markers) would ensure efficacy. However, evidence is lacking on whether patients are receptive to communication of individual genetic information and whether provision of such results would lead to enhanced intervention response. To realize the high expectations of personalized medicine, patients' preferences and attitudes need to be thoroughly investigated especially as more information on genetic risk becomes available. The investigators will examine patients' genetic knowledge to determine whether factual knowledge of genetics is essential for understanding genetic risk and for informing treatment decision making in this patient population.

Cognitive Training Intervention and Attitudes Towards Genetics

Intervention Strategies to Improve Cognitive Functioning in Hematologic Cancer Survivors After Hematopoietic Cell Transplantation

Number of participants completing the 12 week intervention

Change in cognitive function will be measured using cognitive test scores at baseline and 12 weeks

Genetic factual knowledge will be measured using a 16-item survey on knowledge about genes, chromosomes, cells, and diseases and how different characteristics are inherited from parents.

Effect size of associations of sociodemographic characteristics such as age, gender, race/ethnicity, education and income levels with genetic factual knowledge of participants will be measured.

Patient ratings will be collected on a 5 Likert scale survey questionnaire to examine importance of receiving information on genetic risk of cognitive impairment post-HCT.

Patient ratings will be collected on a 5 Likert scale survey questionnaire to measure association of likelihood of genetic risk of cognitive impairment (low chance vs high chance) on intervention uptake.

Patient ratings will be collected on a 5 Likert scale survey questionnaire to measure association of likelihood of genetic risk of cognitive impairment (low chance vs high chance) on intervention adherence.

University of Alabama at Birmingham

Prinicipal Investigator

Heart and Blood Diseases

Symptoms and General Pathology

Nutritional and Metabolic Diseases

Skin and Connective Tissue Diseases

Gland and Hormone Related Diseases

Musculoskeletal Diseases

Urinary Tract, Sexual Organs, and Pregnancy Conditions

Respiratory Tract (Lung and Bronchial) Diseases

Eye Diseases

Immune System Diseases

Digestive System Diseases

Myocardial Infarction

Infarction

Obesity

Breast Neoplasms

Diabetes Mellitus

Diabetes Mellitus, Type 2

Osteoarthritis

Prostatic Neoplasms

Lung Neoplasms

Atrial Fibrillation

Graves Disease

Celiac Disease

Arrhythmias, Cardiac

Heart Diseases

Ischemia

Necrosis

Coronary Artery Disease

Myocardial Ischemia

Vascular Diseases

Gastrointestinal Diseases

Intestinal Diseases

Syndrome

Malabsorption Syndromes

Metabolic Diseases

Glucose Metabolism Disorders

Endocrine System Diseases

Exophthalmos

Orbital Diseases

Goiter

Thyroid Diseases

Hyperthyroidism

Autoimmune Diseases

Those who will receive predictive genetic risk assessments

The patients in the intervention group will obtain genetic risk assessments based on genome-wide association studies.

SNP analysis

Kristina Tiedje, Ph.D.

Clayton T. Cowl, M.D.

Barbara A. Koenig, Ph.D.

This proof-of-principle clinical trial at Mayo Clinic studies how patients and their physicians understand and utilize predictive genetic risk assessment. A critical goal of this clinical trial is to understand how individual patients and their doctors perceive and respond to genetic risk information that is largely uncertain.

The prospect of personalized medicine is under heated debate at the Mayo Clinic and it is of interest across the world. A point of contention is the provision of individual genetic risk assessment to healthy patients, especially information predicting risk of common diseases like diabetes, cancer, or heart disease. While scientific debate continues, personal genetic testing is currently offered to the public by commercial firms using a "direct-to-consumer" (DTC) approach. At present, the number of private companies offering such services is growing (i.e. 23 and me, deCode genetics, etc.). Although many professionals hope that genetic risk information will prove to be valuable in the near future, there is little understanding of how this kind of predictive risk assessment will be interpreted and perceived by patients and their doctors. Due to the great attention given to predictive genetic testing in the popular press, one expects that patients will soon demand this testing as part of standard clinical practice. Yet, there is currently no effective regulatory oversight to guide clinicians and policy makers about how to incorporate results from predictive genetic testing into routine clinical use. In fact, no appropriate clinical trials assessing the impact of this type of testing have been completed. Indeed, a recent commentary in the New England Journal of Medicine recommended that all such testing be conducted in the context of a clinical trial.

How to protect human subjects during the early stages of development of a new technology is a classic dilemma in translational research. For that reason, we have developed a "proof-of-principle" clinical trial at Mayo Clinic to study how patients and their physicians understand and utilize predictive genetic risk assessment. A critical goal of this clinical trial is to understand how individual patients and their doctors perceive and respond to genetic risk information that is largely uncertain.

Our pilot study seeks to answer three fundamental questions: How will physicians deal with the uncertainty provided by the new technology of predictive genetic risk assessment? What hopes do patients have regarding the significance of predictive genetic testing? And how do they interpret their results? This proof-of-principle study will investigate the impact of direct-to-consumer, predictive genetic testing provided and sponsored by Navigenics, Inc., a private company advertising predictive genetic testing for common diseases or conditions. This study will allow Mayo Clinic to be proactive in researching the dynamics of this potential innovation in health care. The proof-of-principle study described herein is designed to collect preliminary data that will inform the development of a larger clinical trial and provide data for an application for federal funding.

Our study will be in collaboration with Navigenics, the industry sponsor of this project. Navigenics will use a high density, genome microarray for determining the gene variants-, and published disease-association studies, to calculate the relative risk of each patient for a few targeted common diseases. High density microarrays are genome chips that allow the assessment of one million single nucleotide polymorphisms (SNPs) at relatively low cost. The combination of particular SNPs are presumed to influence the risk of developing certain common diseases as shown from genome-wide association studies published in peer-reviewed scientific and medical literature. Navigenics will use these population-based association studies (studies that produce odds ratios for developing a disease given a certain SNP) to estimate the relative of an individual patient developing a disease, an approach that is used by most direct-to-consumer genetic testing companies. They claim that their testing has a role in preventive medicine in order to "Help people live healthier lives." Our study will allow us to examine how patients and doctors respond to and utilize Navigenics' risk assessments derived from microarray technology and published genome-wide association studies.

The role of information delivery to patients by physicians, genetic counselors or other health care professionals using predictive genetic risk assessment is unclear. Its acceptance by patients and health care professionals has also not been studied. Therefore, this study seeks to compare the perception of genetic risk estimations obtained from Navigenics' testing with the relative risk estimations obtained through a family history, the current Mayo standard of care.

Our study design includes two phases to be conducted over 18 months. The first phase is a "pre-pilot" study that will take place in 2008. In phase one, we will conduct structured interviews with 20 Executive Health (EH) Program patients who have obtained their disease risk assessments for common diseases or who have obtained a family history. In phase 2, we will conduct a quantitative phone survey with 150 EH patients randomized into two arms (genetic testing and standard of care). We will also conduct follow up qualitative interviews with 20 patients in phase 2. The study is anticipated to be completed in mid 2009.

Predictive Genetic Risk Assessment Trial

Proof-of-Principle Trial of Communication to Patients Receiving Predictive Genetic Risk Assessment

Mayo Clinic

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Cognitive Training Intervention and Attitudes Towards Genetics	NCT03094026	Cognitive Impai... Hematologic Neo... Hematopoietic C...	Lumosity Lumosity (waitl...	21 Years -	University of Alabama at Birmingham
Predictive Genetic Risk Assessment Trial	NCT00782366	Colon Cancer Lung Cancer Atrial Fibrilla... Diabetes Type 2 Obesity Breast Cancer Graves Disease Osteoarthritis Celiac Disease Myocardial Infa... Prostate Cancer	SNP analysis	18 Years - 65 Years	Mayo Clinic
Predictive Genetic Risk Assessment Trial	NCT00782366	Colon Cancer Lung Cancer Atrial Fibrilla... Diabetes Type 2 Obesity Breast Cancer Graves Disease Osteoarthritis Celiac Disease Myocardial Infa... Prostate Cancer	SNP analysis	18 Years - 65 Years	Mayo Clinic

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