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  1. 1. Essai clinique
  2. 2. Routinedokumentation
  3. 3. Études de registres/cohortes
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Modèles de données sélectionnés

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192 Résultats de recherche.
Pertinence Commentaire Plus récent Moins récent

Eligibility NCT00722566 Multiple Myeloma - Eligibility

- 15/04/2014 - 1 Formulaire, 2 Groupes Item, 11 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00722566

Persönliches Interview SHIP-Trend-1 Krebserkrankungen

- 14/02/2021 - 1 Formulaire, 1 Groupe Item, 77 Eléments de données, 1 Langue
Groupe Item: Krebserkrankungen
Krebserkrankungen form of SHIP Study (Study of Health in Pomerania), conducted by the University Medicine of Greifswald. SHIP unique domain name TREND.TREND1.INT.KREBS.KREBS. ODM derived from https://www.fvcm.med.uni-greifswald.de/dd_service/data_use_explore.php. Further information: http://www2.medizin.uni-greifswald.de/cm/fv/ship.html. Publication granted by Prof. Völzke. Reference: Völzke H, et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol. 2011;40(2):294-307. PMID: 20167617

Eligibility NCT00642941 Sarcoma - Eligibility

- 09/12/2013 - 1 Formulaire, 2 Groupes Item, 8 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00642941

Eligibility DRKS00003778 NCT00749723 Recurrent Brain Tumors - Eligibility

- 20/09/2021 - 1 Formulaire, 1 Groupe Item, 25 Eléments de données, 2 Langues
Groupe Item: Inclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00749723

Eligibility DRKS00003810 NCT00875667 Mantle Cell Lymphoma - Eligibility

- 16/04/2014 - 1 Formulaire, 2 Groupes Item, 14 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00875667

Eligibility DRKS00003686 NCT00761280 Anaplastic Astrocytoma - Eligibility

- 20/09/2021 - 1 Formulaire, 2 Groupes Item, 47 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00761280

dbGaP phs000827 N.C. Clinical Genomic Evaluation by NextGen Exome Sequencing (NCGENES) - Eligibility

- 04/03/2024 - 5 Formulaires, 1 Groupe Item, 8 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: James P. Evans, MD, PhD, University of North Carolina, Chapel Hill, NC, USA MeSH: Genetic Diseases, Inborn,Neoplasms,Adenomatous Polyposis Coli,Microcephaly,Aortic Aneurysm, Thoracic,Peripheral Nervous System Diseases,Cardiomyopathies,Leukodystrophy, Globoid Cell,Seizures,Mitochondria,Inflammation,Autoimmune Diseases,Progeria,Retina,Muscular Diseases,Rhabdomyolysis,Arrhythmias, Cardiac,Osteochondrodysplasias,Intellectual disability,Autistic Disorder,Neuromuscular Diseases,Paraplegia,Central Nervous System Diseases,Cholestasis,Anemia,Genetic Testing https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000827 North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing This study is part of a larger consortium project investigating the validity and best use of next-generation sequencing (in particular, whole exome sequencing, or WES) in clinical care. Participants are patients who were either seen in the UNC Cancer and Adult Genetics Clinic or referred to the study by their physician. They will be approached by their physician or a genetic counselor for recruitment. Once enrolled, a clinical geneticist or genetic counselor will obtain consent and collect blood samples to be analyzed using WES. Results may include information related to a diagnosis and incidental information. Medically actionable incidental findings will be CLIA-certified and returned to participants in a routine genetic counseling session, along with diagnostic findings. Eligible adult participants will be randomized to have the opportunity to choose to get certain types of non-medically actionable incidental findings, as well. Their decisions will be investigated, as will psychosocial and behavioral responses to sequencing and receiving sequencing information. This is a longitudinal, mixed methods study (i.e., multiple assessments pre- and post-return of results, with both quantitative and qualitative methods used to gather data). Because only the quantitative component of the study uses randomization, only measures and procedures associated with that component are included here. The third study release includes data of additional n=189 subjects.

pht004472.v3.p1

1 Groupe Item 7 Eléments de données

pht004469.v3.p1

1 Groupe Item 5 Eléments de données

pht004470.v3.p1

1 Groupe Item 5 Eléments de données

pht004471.v3.p1

1 Groupe Item 7 Eléments de données

dbGaP phs000397 NIA Long Life Family Study (LLFS) - Eligibility

- 12/10/2022 - 6 Formulaires, 1 Groupe Item, 3 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Michael A. Province, PhD, Washington University School of Medicine, St. Louis, MO, USA MeSH: Longevity,Aging,Cardiovascular Diseases,Neoplasms,Stroke,Inflammation,Immune System,Diabetes Mellitus,Hypertension,Dyslipidemias,Lipids,Osteoporosis,Pulmonary Function Tests,Kidney Function Tests,Alzheimer Disease,Depression,Personality,Executive Function,Reproductive History https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000397 The Long Life Family Study (LLFS) is an international collaborative study of the genetics and familial components of exceptional survival, longevity, and healthy aging. Families were recruited through elderly probands (generally in their 90s) who self-reported on the survival history of their parents and siblings, and on the basis of this information, families which showed clustering of exceptional survival were recruited. [Specifically, a Family Longevity Selection Score (FLOSS) ≥7 was required. The FLOSS measures the average excess Observed lifespan over that Expected based upon lifetables, while adding a bonus term for still-living individuals. Thus FLOSS is a useful tool for scoring and selecting families for inclusion in a research study of exceptional survival (Sebastiani et al., 2009, PMID: 19910380)]. Probands resided in the catchment areas of four Field Centers (Boston University, Columbia University, University of Pittsburgh, and University of Southern Denmark). Recruited family members were phenotyped through extensive in-home visits by teams of technicians who traveled all over the USA and Denmark. Blood assays were centrally processed at a Laboratory Core (University of Minnesota) and protocols were standardized, monitored and coordinated through a Data Management Coordinating Center (Washington University). We examined and extensively phenotyped in all major domains of healthy aging, 4,953 individuals in 539 families through comprehensive in-home visits. Of these, 4,815 gave dbGaP sharing permission and had sufficient quantity/quality of DNA for GWAS genotyping. This large collection of families, selected on the basis of clustering for exceptional survival, is a unique resource for the study of human longevity and healthy aging. We estimate that less than 1% of the Framingham Heart Study (FHS) families (a roughly random population family sample) would meet the minimal entrance criteria for exceptional survival required in the LLFS (Sebastiani et al., 2009, PMID: 19910380). Thus, the least exceptional LLFS families show more clustering for exceptional longevity than 99% of the FHS families. Although the LLFS pedigrees were selected on the basis of longevity per se in the upper generation (and the generation above that), the children's generation have significantly lower rates of many major diseases and have better healthy aging profiles for many disease phenotypes (Newman et al., 2011, PMID: 21258136). The participants had their first in-person visit between 2006 and 2009. After that visit, they were contacted annually by telephone to update vital status, medical history, and general health. Between 2014 and 2017, willing participants completed a second in-person visit. The second visit followed the same protocols and centralized training as the first visit. During the second visit, a portable carotid ultrasound exam was added. Again, participants were continuously contacted annually for telephone follow-up during the period of the second in-person visit and after that. Annual telephone follow-ups currently ongoing, and plans for a third in-person visit are in progress.

pht002407.v3.p3

1 Groupe Item 4 Eléments de données

pht002408.v3.p3

1 Groupe Item 6 Eléments de données

pht002410.v3.p3

1 Groupe Item 106 Eléments de données

pht003356.v3.p3

1 Groupe Item 4 Eléments de données

pht002409.v3.p3

1 Groupe Item 3 Eléments de données

Eligibility NCT00053768 NHL - Eligibility

- 17/09/2021 - 1 Formulaire, 3 Groupes Item, 33 Eléments de données, 2 Langues
Groupes Item: Disease characteristics, Patient characteristics and prior concurrent therapy, Medical Concepts
Combination Chemotherapy Followed By Radiation Therapy in Treating Patients With Aggressive Non-Hodgkin's Lymphoma DISEASE CHARACTERISTICS: - Histologically confirmed aggressive non-Hodgkin's lymphoma - Previously untreated disease - Favorable prognosis - International Prognostic Index score of 0-1 - No more than 25% marrow involvement PATIENT CHARACTERISTICS: Age - 18 to 60 Performance status - ECOG 0-3 OR - Karnofsky 40-100% Life expectancy - Not specified Hematopoietic - Platelet count at least 100,000/mm^3 - WBC at least 2,500/mm^3 Hepatic - No active hepatitis infection Renal - Not specified Other - HIV negative - Not pregnant or nursing - No relevant accompanying disease - No other concurrent malignancy - No contraindications to any study medications - No prior noncompliance by patient PRIOR CONCURRENT THERAPY: Biologic therapy - Not specified Chemotherapy - No prior chemotherapy Endocrine therapy - Not specified Radiotherapy - No prior radiotherapy Surgery - Not specified Other - No other concurrent participation in another treatment study

Eligibility NCT00785330 Non-Hodgkin's Lymphoma - Eligibility

- 09/12/2013 - 1 Formulaire, 2 Groupes Item, 11 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00785330

dbGaP phs000428 Health and Retirement Study (HRS) - pht005036.v1.p2

- 29/01/2025 - 6 Formulaires, 1 Groupe Item, 4 Eléments de données, 1 Langue
Groupe Item: pht005036
Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

Eligibility

1 Groupe Item 6 Eléments de données

pht002612.v2.p2

1 Groupe Item 4 Eléments de données

pht002613.v2.p2

1 Groupe Item 5 Eléments de données

pht002614.v2.p2

1 Groupe Item 7 Eléments de données

pht005037.v1.p2

1 Groupe Item 5 Eléments de données

dbGaP phs000495 The Gene Partnership (TGP) - eMERGE Data - Eligibility

- 13/12/2022 - 5 Formulaires, 1 Groupe Item, 7 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Isaac S. Kohane, MD, PhD, Boston Children's Hospital, Boston, MA, USA MeSH: Autistic Disorder,Heart Defects, Congenital,Asthma,Attention Deficit Disorders,Diabetes Mellitus, Type 1,Diabetes Mellitus, Type 2,Epilepsy,Gastrointestinal Diseases,Hypersensitivity,Autoimmune Diseases,Hematologic Diseases,Neoplasms,Arrhythmias, Cardiac,Chromosome Aberrations,Congenital Abnormalities,Dermatology,Developmental Disabilities,Endocrine System,Otolaryngology,Syndrome,Urogenital System,Hearing Loss,Immune System Diseases,Musculoskeletal Abnormalities,Nervous System Diseases,Neuromuscular Diseases,Metabolic Diseases,Nutrition Disorders,Vision Disorders,Mouth Diseases,Mental Disorders,Kidney Diseases,Respiration Disorders,Thyroid Diseases,Vascular Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000495 The Gene Partnership (TGP) is a prospective longitudinal registry at Boston Children's Hospital (BCH) to study the genetic and environmental contributions to childhood health and disease, collect genetic information on a large number of children who have been phenotyped, and implement the Informed Cohort and the Informed Cohort Oversight Board (ICOB). The term "*The Gene Partnership*" reflects a partnership between researchers and participants. Children seen at BCH are offered enrollment, as are their parents and siblings. DNA is collected on all enrollees. BCH has a comprehensive EMR system, and virtually all inpatient and outpatient data are captured electronically. Clinical data in the BCH EMR is loaded in the i2b2 data warehouse which is available to investigators. Cases, phenotypes, and covariates are ascertained using the i2b2 database. Participants at BCH in TGP have consented to receive any research result and/or incidental finding that arises from studies using TGP that is approved by the Informed Cohort Oversight Board (ICOB) and is in accordance with the participants' preferences; results are returned through the Personally Controlled Health Record (PCHR). BCH and Cincinnati Children's Hospital Medical Center (CCHMC) have partnered as the *P*ediatric *A*lliance for *G*enomic and *E*lectronic Medical Record (EMR) *R*esearch (*PAGER*) site for the eMERGE Phase II network for pediatric institutions, and the cohort for eMERGE at BCH is TGP.

pht002864.v1.p1

1 Groupe Item 4 Eléments de données

pht002865.v1.p1

1 Groupe Item 5 Eléments de données

pht002866.v1.p1

1 Groupe Item 42 Eléments de données

pht002867.v1.p1

1 Groupe Item 4 Eléments de données

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