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dbGaP phs000944 eMERGE Clinical Center at Partners HealthCare - Eligibility

- 2024-11-27 - 6 Formulär, 2 Item-grupper, 11 Dataelement, 1 Språk
Item-grupper: IG.elig, IG.elig
Principal Investigator: Scott T. Weiss, MD, MS, Partners HealthCare System, Boston, MA, USA MeSH: Hypercholesterolemia,Asthma,Arthritis, Rheumatoid,Attention Deficit Disorder with Hyperactivity,Bipolar Disorder,Coronary Disease,Depression,Heart Failure,Inflammatory Bowel Diseases,Multiple Sclerosis,Schizophrenia,Stroke https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000944 The Partners HealthCare Biobank is a large research data and sample repository working within the framework of Partners Personalized Medicine. It provides researchers access to high quality, consented samples to help foster research, advance understanding of the causes of common diseases, and advance the practice of medicine. The Partners Biobank provides banked samples (plasma, serum and DNA) collected from consented patients. These samples are available for distribution to Partners HealthCare investigators with appropriate approval from the Partners Institutional Review board (IRB). They are linked to clinical data that originates in the Electronic Medical Record (EMR), as well as additional health information collected in a self-reported survey. The Partners Biobank will be genotyping 25,000 subjects with the Illumina Multiethnic Beadchip 1.6 million SNPs with exome and custom content ( 60,000 LoFs). Of the participants genotyped so far, 4929 of 4962 (99.3%) individuals have genotype data that passed the default quality thresholds for the Infinium array (call rate = 0.99). We are submitting the genotype data to dbGaP for 4929 subjects with 12 phenotypes (based on icd9 codes). We will do annual releases until we reach the full 25,000 genotyped subjects.

pht004847.v1.p1

1 Item-grupp 5 Dataelement

pht005288.v1.p1

1 Item-grupp 6 Dataelement

pht004844.v1.p1

1 Item-grupp 2 Dataelement

pht004845.v1.p1

1 Item-grupp 3 Dataelement

pht004846.v1.p1

1 Item-grupp 18 Dataelement

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

- 2025-01-29 - 6 Formulär, 1 Item-grupp, 4 Dataelement, 1 Språk
Item-grupp: 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 Item-grupp 6 Dataelement

pht002612.v2.p2

1 Item-grupp 4 Dataelement

pht002613.v2.p2

1 Item-grupp 5 Dataelement

pht002614.v2.p2

1 Item-grupp 7 Dataelement

pht005037.v1.p2

1 Item-grupp 5 Dataelement

New Or Worsening Congestive Heart Failure (CHF) Report Form PRoFESS - Prevention Regimen For Effectively Avoiding Second Strokes NCT00153062

- 2017-02-22 - 1 Formulär, 5 Item-grupper, 19 Dataelement, 1 Språk
Item-grupper: New Or Worsening Congestive Heart Failure (CHF) Report Form, Hospitalization, Fatal Outcome, Please remember to fax Supporting Documentation clearly identified with the patient number, Invenstigator´s Declaration
The purpose of the trial is to determine if extended-release dipyridamole + aspirin [Aggrenox, Asasa ntin] is superior to clopidogrel [Plavix], and if telmisartan [Micardis, Gliosartan, Kinzal, Kinzalm ono, Predxal, Pritor, Samertan, Telmisartan] is superior to placebo, in the presence of background antihypertensive therapy, in prevention of a second stroke in patients who have recently suffered a stroke and therefore are at high risk of suffering another one. Source & Descriptions: https://clinicaltrials.gov/ct2/show/NCT00153062?term=NCT00153062&rank=1

dbGaP phs000090 The Atherosclerosis Risk in Communities (ARIC) Study - pht001035.v1.p1

- 2022-10-12 - 3 Formulär, 1 Item-grupp, 4 Dataelement, 1 Språk
Item-grupp: pht001035.v1.p1
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000090 The Atherosclerosis Risk in Communities (ARIC) Study, sponsored by the National Heart, Lung and Blood Institute (NHLBI), is a prospective epidemiologic study conducted in four U.S. communities. The four communities are Forsyth County, NC; Jackson, MS; the northwest suburbs of Minneapolis, MN; and Washington County, MD. ARIC is designed to investigate the etiology and natural history of atherosclerosis, the etiology of clinical atherosclerotic diseases, and variation in cardiovascular risk factors, medical care and disease by race, gender, location, and date. ARIC includes two parts: the Cohort Component and the Community Surveillance Component. The Cohort Component began in 1987, and each ARIC field center randomly selected and recruited a cohort sample of approximately 4,000 individuals aged 45-64 from a defined population in their community. A total of 15,792 participants received an extensive examination, including medical, social, and demographic data. These participants were reexamined every three years with the first screen (baseline) occurring in 1987-89, the second in 1990-92, the third in 1993-95, and the fourth and last exam was in 1996-98. Follow-up occurs yearly by telephone to maintain contact with participants and to assess health status of the cohort. In the Community Surveillance Component, currently ongoing, these four communities are investigated to determine the community-wide occurrence of hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years. Hospitalized stroke is investigated in cohort participants only. Starting in 2006, the study conducts community surveillance of inpatient (ages 55 years and older) and outpatient heart failure (ages 65 years and older) for heart failure events beginning in 2005. ARIC is currently funded through January 31, 2012. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to atherosclerosis and cardiovascular disease through large-scale genome-wide association studies of well-characterized cohorts of adults in four defined populations. Genotyping was performed at the Broad Institute of MIT and Harvard, a GENEVA genotyping center. Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.

pht000114.v1.p1

1 Item-grupp 362 Dataelement

pht001036.v1.p1

1 Item-grupp 4 Dataelement

Eligibility Heart Failure NCT01589601

- 2020-01-12 - 1 Formulär, 2 Item-grupper, 17 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Palliative Care in Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT01589601

dbGaP phs000974 NHLBI TOPMed: Whole Genome Sequencing and Related Phenotypes in the Framingham Heart Study - Eligibility

- 2023-12-01 - 4 Formulär, 1 Item-grupp, 1 Dataelement, 1 Språk
Item-grupp: IG.elig
Principal Investigator: Vasan Ramachandran, Department of Medicine, Boston University School of Medicine, Boston, MA, USA MeSH: Cardiovascular Diseases,Atherosclerosis,Atrial Fibrillation,Death, Sudden, Cardiac,Diabetes Mellitus, Type 2,Heart Failure,Blood Pressure,Hypertension,Body Mass Index,Adiposity,Lipids,Pulmonary Disease, Chronic Obstructive,Renal Insufficiency, Chronic,Stroke,Osteoporosis,Risk Factors,Biological Markers,Biomarkers, Pharmacological https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000974 The Framingham Heart Study (FHS) is a prospective cohort study of 3 generations of subjects who have been followed up to 65 years to evaluate risk factors for cardiovascular disease. Its large sample of ~15,000 men and women who have been extensively phenotyped with repeated examinations make it ideal for the study of genetic associations with cardiovascular disease risk factors and outcomes. DNA samples have been collected and immortalized since the mid-1990s and are available on ~8000 study participants in 1037 families. These samples have been used for collection of GWAS array data and exome chip data in nearly all with DNA samples, and for targeted sequencing, deep exome sequencing and light coverage whole genome sequencing in limited numbers. Additionally, mRNA and miRNA expression data, DNA methylation data, metabolomics and other 'omics data are available on a sizable portion of study participants. This project will focus on deep whole genome sequencing (mean 30X coverage) in ~4100 subjects and imputed to all with GWAS array data to more fully understand the genetic contributions to cardiovascular, lung, blood and sleep disorders. Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000007.

pht004909.v3.p3

1 Item-grupp 2 Dataelement

pht004910.v4.p3

1 Item-grupp 2 Dataelement

pht004911.v3.p3

1 Item-grupp 9 Dataelement

Eligibility Acute Heart Failure DRKS00008447 NCT02151383 - Eligibility Acute Heart Failure NCT02151383

- 2021-09-17 - 1 Formulär, 2 Item-grupper, 18 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Pharmacokinetics & Safety of Serelaxin on Top of Standard of Care Therapy in Pediatric Patients With Acute Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT02151383

Eligibility Heart Failure NCT01028625

- 2020-02-02 - 1 Formulär, 2 Item-grupper, 16 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Depression and Self-care in Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT01028625

Eligibility Heart Failure NCT00321269

- 2018-03-25 - 1 Formulär, 2 Item-grupper, 9 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Depression and Congestive Heart Failure in Outpatients.; ODM derived from: https://clinicaltrials.gov/show/NCT00321269

Eligibility Heart Failure, Congestive NCT00078286

- 2016-09-14 - 1 Formulär, 2 Item-grupper, 10 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Antidepressant Medication Treatment for Depression in Individuals With Chronic Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT00078286

Eligibility Heart Failure NCT01821638

- 2020-01-16 - 1 Formulär, 2 Item-grupper, 17 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Exclusion Criteria
Brain Alterations and Cognitive Impairment in Older Adults With Heart Failure; ODM derived from: https://clinicaltrials.gov/show/NCT01821638

Eligibility Chronic Heart Failure NCT01794598

- 2016-08-03 - 1 Formulär, 3 Item-grupper, 9 Dataelement, 1 Språk
Item-grupper: Inclusion Criteria, Inclusion Criteria, Exclusion Criteria
Preliminary Study Examining Heart Failure Patients Responses to Depression Education; ODM derived from: https://clinicaltrials.gov/show/NCT01794598

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