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Table des matières
  1. 1. Klinische studie
  2. 2. Routinedocumentatie
  3. 3. Register-/kohortstudies
  4. 4. Kwaliteitswaarborging
  5. 5. Datastandaard
  6. 6. Patiëntenvragenlijst
  7. 7. Medisch vakgebied
    1. 7.1. Anesthesie
    1. 7.2. Dermatologie
    1. 7.3. HNO
    1. 7.4. Geriatrie
    1. 7.5. Gynaecologie/Ostetrie
    1. 7.6. Interne geneeskunde
      1. Hematologie
      1. Epidemiologie
      1. Cardiologie/Angiologie
      1. Pneumologie
      1. Gastro-enterologie
      1. Nefrologie
      1. Endocrinologie/Metabolisme
      1. Rheumatologie
    1. 7.7. Neurologie
    1. 7.8. Oogheelkunde
    1. 7.9. Palliatieve zorg
    1. 7.10. Pathologie/Forensische Geneeskunde
    1. 7.11. Kindergeneeskunde
    1. 7.12. Psychiatrie/Psychosomatisch
    1. 7.13. Radiologie
    1. 7.14. Chirurgie
      1. Algemene/maag-darm-chirurgie
      1. Neurochirurgie
      1. Plastische chirurgie
      1. Cardiothoracale chirurgie
      1. Traumachirurgie/Orthopedie
      1. Vaatchirurgie
    1. 7.15. Urologie
    1. 7.16. Tandheelkunde/MKG
Modèles de données sélectionnés

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7 Résultats de recherche.
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NINDS CDE Biospecimens Summary Statement Multiple Sclerosis - Biospecimens Summary Statement Appendix B – Potential MS Biomarkers

- 17-09-21 - 1 Formulaire, 6 Groupes Item, 64 Eléments de données, 1 Langue
Groupes Item: biomarkers serum MS, biomarkers Cell surface, biomarker humoral antibody, biomarker adhesion migration, Biomarker tissue damage repair, Biomarker other
NINDS Common Data Elements, Multiple Sclerosis Biospecimens Summary Statement Appendix B – Potential MS Biomarkers Used from the National Institute of Neurological Disorders and Stroke Common Data Elements (https://www.commondataelements.ninds.nih.gov/) References: Grinnon ST, Miller K, Marler JR, Lu Y, Stout A, Odenkirchen J, Kunitz S. National Institute of Neurological Disorders and Stroke Common Data Element Project - approach and methods. Clin Trials. 2012;9(3):322-9.

Table V- Supplemental Asthma Outcomes NIH AHRQ for children

- 24-02-16 - 1 Formulaire, 3 Groupes Item, 18 Eléments de données, 1 Langue
Groupes Item: Characterization of study population for prospective clinical trials, Prospective clinical trial efficacy/ effectiveness outcomes, Observational study outcomes
Documentation part: Table V (Recommendations for supplemental asthma outcomes for NIH- initiated clinical research for children). ODM derived from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259286/ Background: Asthma clinical research will highly benefit from standardization of major outcomes in terms of definition and assessment methodology. This will permit useful comparisons across interventional or observational studies and will allow more effective data sharing. Objective: National Institutes of Health (NIH) institutes and the Agency for Healthcare Research and Quality (AHRQ) convened a workshop involving 7 expert subcommittees to propose which asthma outcomes should be assessed with standardized methodology in future asthma clinical research studies. Permission granted by: Michelle Freemer.

Table III- Core Asthma Outcomes NIH AHRQ for children (5­11 years of age)

- 23-02-16 - 1 Formulaire, 3 Groupes Item, 14 Eléments de données, 1 Langue
Groupes Item: Characterization of study population for prospective clinical trials, Prospective clinical trial efficacy/ effectiveness outcomes, Observational study outcomes
Documentation part: Table III [Recommendations for core asthma outcomes for NIH- initiated clinical research for children (5­-11 years of age)]. ODM derived from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259286/ Background: Asthma clinical research will highly benefit from standardization of major outcomes in terms of definition and assessment methodology. This will permit useful comparisons across interventional or observational studies and will allow more effective data sharing. Objective: National Institutes of Health (NIH) institutes and the Agency for Healthcare Research and Quality (AHRQ) convened a workshop involving 7 expert subcommittees to propose which asthma outcomes should be assessed with standardized methodology in future asthma clinical research studies. Permission granted by: Michelle Freemer.

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

- 01-12-23 - 4 Formulaires, 1 Groupe Item, 1 Élément de données, 1 Langue
Groupe Item: 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 Groupe Item 2 Eléments de données

pht004910.v4.p3

1 Groupe Item 2 Eléments de données

pht004911.v3.p3

1 Groupe Item 9 Eléments de données

Efficacy and Safety of GSK163090 in Subjects with Major Depressive Disorder; NCT00896363 - Biomarker Sample

- 29-10-19 - 1 Formulaire, 2 Groupes Item, 6 Eléments de données, 1 Langue
Groupes Item: Experimental drug, Dosage, Date in time, Time, Biological Markers, Specimen
Study ID: 109035 Clinical Study ID: 109035 Study Title: A Randomised, Double-Blind, Parallel-Group, Placebo-Controlled Study Evaluating the Efficacy and Safety of GSK163090 in Subjects With Major Depressive Disorder Patient Level Data: Study Listed on ClinicalStudyDataRequest.com Clinicaltrials.gov Identifier: NCT00896363 Sponsor: GlaxoSmithKline Collaborators: N/A Phase: Phase 2 Study Recruitment Status: Completed Generic Name: GSK163090 1 mg, GSK163090 Placebo, GSK163090 3 mg Trade Name: Study Indication: Depressive Disorder

Smart Device System Meta Data Definitions - Neurologic Examination

- 03-09-20 - 7 Formulaires, 1 Groupe Item, 6 Eléments de données, 2 Langues
Groupe Item: Neurologic examination
Metadata definitions for the Smart Device System for Movement Disorders. Clinical Protocol and Registration Information available on: https://clinicaltrials.gov/ct2/show/NCT03638479 Principal Investigator: Julian Varghese Description for Assessment Steps for Neurologic Examination are available under: Varghese J, Niewöhner S, Soto-Rey I, et al. A Smart Device System to Identify New Phenotypical Characteristics in Movement Disorders. Front Neurol. 2019;10:48. doi:10.3389/fneur.2019.00048

Family History

1 Groupe Item 2 Eléments de données

Medication

1 Groupe Item 3 Eléments de données

Vital Signs

1 Groupe Item 1 Élément de données

PD NMS

1 Groupe Item 1 Élément de données

Demography

2 Groupes Item 5 Eléments de données

Medical History

1 Groupe Item 9 Eléments de données

dbGaP phs001345 NHLBI TOPMed: Genetic Epidemiology Network of Arteriopathy (GENOA) - Eligibility

- 05-03-23 - 4 Formulaires, 1 Groupe Item, 6 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Sharon L.R. Kardia, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Hypertension,Aging,Arterial Pressure,Arteriosclerosis,Atherosclerosis,Biomarkers,Blood Pressure,Cardiovascular Diseases,Cholesterol,Cholesterol, HDL,Cholesterol, LDL,Coronary Artery Disease,Diabetes Mellitus,Echocardiography,Endophenotypes,Hyperglycemia,Hyperinsulinism,Hypertrophy, Left Ventricular,Inflammation,Kidney Failure, Chronic,Leukoaraiosis,Lipids,Obesity,Obesity, Abdominal,Peripheral Arterial Disease,Renal Insufficiency, Chronic,Triglycerides,Vascular Calcification https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001345 The Genetic Epidemiology Network of Arteriopathy (GENOA) is one of four networks in the NHLBI Family-Blood Pressure Program (FBPP). GENOA's long-term objective is to elucidate the genetics of target organ complications of hypertension, including both atherosclerotic and arteriolosclerotic complications involving the heart, brain, kidneys, and peripheral arteries. The longitudinal GENOA Study recruited European-American and African-American sibships with at least 2 individuals with clinically diagnosed essential hypertension before age 60 years. All other members of the sibship were invited to participate regardless of their hypertension status. Participants were diagnosed with hypertension if they had either 1) a previous clinical diagnosis of hypertension by a physician with current anti-hypertensive treatment, or 2) an average systolic blood pressure = 140 mm Hg or diastolic blood pressure = 90 mm Hg based on the second and third readings at the time of their clinic visit. Only participants of the African-American Cohort were sequenced through TOPMed. The Family Blood Pressure Program (FBPP), GENOA's parent program, is an unprecedented collaboration to identify genes influencing blood pressure (BP) levels, hypertension, and its target-organ damage. This program has conducted over 21,000 physical examinations, assembled a shared database of several hundred BP and hypertension-related phenotypic measurements, completed genome-wide linkage analyses for BP, hypertension, and hypertension associated risk factors and complications, and published over 130 manuscripts on program findings. The FBPP emerged from what was initially funded as four independent networks of investigators (HyperGEN, GenNet, SAPPHIRe and GENOA) competing to identify genetic determinants of hypertension in multiple ethnic groups. Realizing the greater likelihood of success through collaboration, the investigators created a single confederation with program-wide and network-specific goals. Comprehensive phenotypic data for GENOA study participants are available through dbGaP phs001238.

pht008602.v1.p1

1 Groupe Item 4 Eléments de données

pht008603.v1.p1

1 Groupe Item 2 Eléments de données

pht008604.v1.p1

1 Groupe Item 10 Eléments de données

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