Mots-clés
Table des matières
  1. 1. Essai clinique
  2. 2. Routinedokumentation
  3. 3. Études de registres/cohortes
  4. 4. Assurance qualité
  5. 5. Standard de données
  6. 6. Questionnaire pour les patients
  7. 7. Spécialité médicale
    1. 7.1. Anesthésie
    1. 7.2. Dermatologie
    1. 7.3. HNO
    1. 7.4. Gériatrie
    1. 7.5. Gynécologie/obstétrique
    1. 7.6. Médecine interne
      1. Hématologie
      1. Infectiologie
      1. Cardiologie/angiologie
      1. Pneumologie
      1. Gastroentérologie
      1. Néphrologie
      1. Endocrinologie/métabolisme
      1. Rhumatologie
    1. 7.7. Neurologie
    1. 7.8. Ophtalmologie
    1. 7.9. Médecine palliative
    1. 7.10. Pathologie/médécine légale
    1. 7.11. Pédiatrie
    1. 7.12. Psychiatrie/psychosomatique
    1. 7.13. Radiologie
    1. 7.14. Chirurgie
      1. Chirurgie générale/viscérale
      1. Neurochirurgie
      1. Chirurgie plastique
      1. Chirurgie cardiaque/thoracique
      1. Chirurgie traumatologique/orthopédie
      1. Chirurgie vasculaire
    1. 7.15. Urologie
    1. 7.16. Médecine dentaire/MKG
Modèles de données sélectionnés

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- 12/10/2022 - 5 Formulaires, 1 Groupe Item, 2 Eléments de données, 1 Langue
Groupe Item: pht001256
Principal Investigator: Zhiheng Pei, MD, PhD, NYU Langone Medical Center, New York, NY, USA MeSH: Esophageal Adenocarcinoma,Barrett's Esophagus,GERD https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000260 The distal esophagus is an important anatomical area where gastric acid reflux can cause reflux esophagitis (RE), Barrett's esophagus (BE) (intestinal metaplasia), and esophageal adenocarcinoma (EA). The incidence of EA has increased 6-fold in the U.S. since the 1970s, parallel to a significant increase in the prevalence of gastroesophageal reflux diseases (GERD). Although specific host factors might predispose one to disease risk, such a rapid increase in incidence must be predominantly environmental. The cause remains unknown. Our hypothesis is that changes in the foregut microbiome are associated with EA and its precursors, RE and BE in the GERD sequence. We will conduct a case control study to characterize the microbiome in every stage of the GERD sequence as well as analyze the trend in changes in the microbiome along disease progression toward EA. Specific Aim 1. To conduct a comprehensive population survey of the foregut microbiome and demonstrate its association with GERD sequence, by a 16S rRNA gene survey. We will analyze samples of the foregut microbiome at three anatomic loci: mouth, distal esophagus, and gastric corpus. Changes of the microbiota in the distal esophagus will be correlated with the phenotypes. Spatial relationship between the esophageal microbiota and upstream (mouth) and downstream (stomach) foregut microbiotas as well as temporal stability of the microbiome-disease association will also be examined. Specific Aim 2. To define distal esophageal metagenome and demonstrate its association with GERD sequence, by shotgun metagenomic analysis. We will first classify samples of the metagenome into metagenotypes by between-sample k-mer distance and correlate the metagenotypes with the four phenotypes. Subsequent detailed analyses will include pathway-disease and gene-disease associations. DNA viruses and fungi, if identified, also will be correlated with the phenotypes. A significant association between the foregut microbiome composition and GERD sequence, if demonstrated, will be the first step for eventually testing the causal hypothesis that an abnormal microbiome is required for the development of the sequence of phenotypic changes toward EA. If EA and its precursors represent a microbial ecological disease, treating the cause of GERD might become possible, for example, by normalizing the microbiome through use of antibiotics, probiotics, or prebiotics. Causative therapy for GERD could prevent its progression and reverse the current trend of increasing incidence of EA.

Eligibility

1 Groupe Item 18 Eléments de données

pht001257.v4.p2

1 Groupe Item 3 Eléments de données

pht001258.v4.p2

1 Groupe Item 8 Eléments de données

pht001259.v4.p2

1 Groupe Item 7 Eléments de données
- 15/02/2023 - 5 Formulaires, 1 Groupe Item, 17 Eléments de données, 1 Langue
Groupe Item: IG.elig

pht006566.v1.p1

1 Groupe Item 2 Eléments de données

pht006568.v1.p1

1 Groupe Item 34 Eléments de données

pht006567.v1.p1

1 Groupe Item 3 Eléments de données

pht006569.v1.p1

1 Groupe Item 4 Eléments de données
- 31/05/2016 - 1 Formulaire, 17 Groupes Item, 224 Eléments de données, 1 Langue
Groupes Item: GENERAL INFORMATION, GENERAL INFORMATION, DISEASE, LYMPHOMA, TREATMENT GIVEN BEFORE THE 1ST TRANSPLANT, DISEASE HISTORY BEFORE HSCT, STATUS OF DISEASE AT HSCT, ADDITIONAL TREATMENT POST-HSCT, BEST DISEASE RESPONSE AT 100 DAYS POST-HSCT, FORMS TO BE FILLED IN, LYMPHOMA FOLLOW UP, GRAFT VERSUS HOST DISEASE (GvHD) SINCE LAST REPORT, OTHER COMPLICATIONS SINCE LAST REPORT, DATE(S) AND RESULTS OF ALL TESTS DONE FOR ALL DONORS, ADDITIONAL THERAPIES SINCE LAST FOLLOW UP, FIRST EVIDENCE OF RELAPSE OR PROGRESSION SINCE LAST HSCT, ADDITIONAL NOTES IF APPLICABLE
- 29/06/2016 - 1 Formulaire, 18 Groupes Item, 283 Eléments de données, 1 Langue
Groupes Item: EBMT FORM GENERAL INFORMATION, PATIENT, DISEASE, PLASMA CELL DISORDERS (INCLUDING MULTIPLE MYELOMA), PRE-HSCT TREATMENT, HSCT, STATUS OF DISEASE AT COLLECTION, DISEASE STATUS AT HSCT, ADDITIONAL TREATMENT POST-HSCT, STATUS OF DISEASE AT 100 DAYS AFTER HSCT, FORMS TO BE FILLED IN, PLASMA CELL DISORDERS (INCLUDING MULTIPLE MYELOMA), PATIENT LAST SEEN, GRAFT VERSUS HOST DISEASE (GvHD) SINCE LAST REPORT, OTHER COMPLICATIONS SINCE LAST REPORT, ADDITIONAL THERAPIES SINCE LAST FOLLOW UP, FIRST EVIDENCE OF RELAPSE OR PROGRESSION SINCE LAST HSCT, LAST DISEASE AND PATIENT STATUS
- 02/04/2023 - 5 Formulaires, 1 Groupe Item, 1 Élément de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Ann M. Moormann, University of Massachusetts Medical School, Worcester, MA, USA MeSH: Burkitt Lymphoma,Lymphoma, Non-Hodgkin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001282 This genomic landscape of Burkitt lymphoma represents a multimodal sequencing of tumors and control tissues and individuals to better understand the etiology, and molecular pathogenesis of Burkitt lymphoma including the roles of the associated Plasmodium falciparum malaria and EBV infections. Comprehensive sequencing set includes genomic, transcriptomic, and epigenomic datasets in concert with variable clinical phenotypes and outcome information such as anatomical presentation site, in-hospital survival rates, and EBV genome type. This deposit includes additional small RNA-seq data from endemic BL (eBL) tumors and RNA-sequencing data from sorted NK cell subsets from the peripheral blood of eBL patients. The additional small RNA-seq data are from tumor specimens from 17 eBL cases, of the previously deposited polyA RNA-seq data from 28 eBL cases (phs1282.V1). The additional RNAseq data from Fluorescence-activated cell sorting (FACS) of NK cell subsets, isolated from the peripheral blood of 7 eBL cases. *For initial transcriptome analysis see: Kaymaz et al.* "Comprehensive Transcriptome and Mutational Profiling of Endemic Burkitt Lymphoma Reveals EBV Type-specific Difference." Molecular Cancer Research, 2017. PMID 28465297 *For initial microRNA analysis see: Oduor et al.* "Human and Epstein-Barr Virus miRNA Profiling as Predictive Biomarkers for Endemic Burkitt Lymphoma." Frontiers in Microbiology 8, 2017. PMID 28400759 *For initial NK subsets RNA expression analysis see: Forconi et al.* "A new hope for CD56negCD16pos NK cells as unconventional cytotoxic mediators: an adaptation to chronic diseases." Frontiers in Cellular and Infection Microbiology, Submitted and Under review. *For general overview of cohort study see: Buckle et al.* "Factors influencing survival among Kenyan children diagnosed with endemic Burkitt lymphoma between 2003 and 2011: A historical cohort study." Int J Cancer. 15:1231, 2016, PMID 27136063

pht006096.v2.p1

1 Groupe Item 3 Eléments de données

pht006098.v2.p1

1 Groupe Item 5 Eléments de données

pht006099.v2.p1

1 Groupe Item 12 Eléments de données

pht006097.v2.p1

1 Groupe Item 3 Eléments de données
- 06/12/2019 - 11 Formulaires, 139 Groupes Item, 447 Eléments de données, 1 Langue
Groupes Item: Creatinine, Potassium, Sodium, Glucose, C reactive protein, Alanine aminotransferase, Urea, Aspartate aminotransferase, Gamma glutamyl transferase, Albumin, Chloride, Glomerular filtration rate/1.73 sq M.predicted, Calcium.ionized, Calcium, Lactate dehydrogenase, Bilirubin, Creatine kinase, Alkaline phosphatase, Protein, Thyrotropin, Base excess, Urate, Lactate, Bicarbonate, Glomerular filtration rate/1.73 sq M.predicted, pH, Triacylglycerol lipase, Cholesterol.in LDL, C reactive protein, Phosphate, Thyroxine.free, Triiodothyronine.free, Triglyceride, Creatinine in Urine, Methemoglobin/Hemoglobin.total, Cholesterol, Acid phosphatase, Cholinesterase, pH in Urine, Cholesterol.in HDL, Ferritin, Troponin T.cardiac, Procalcitonin, Creatine kinase.MB, Natriuretic peptide.B prohormone N-Terminal, Iron, Calcidiol, Amylase, Beta 2 globulin/Protein.total, Beta 1 globulin/Protein.total, Albumin/Protein.total, Glutamate dehydrogenase, Alpha 1 globulin/Protein.total, Alpha 2 globulin/Protein.total, Beta globulin/Protein.total, Gamma globulin/Protein.total, Osmolality, Carcinoembryonic Ag, Cortisol, Albumin in Urine, Cystatin C, Cobalamins, IgM, IgG, Troponin I.cardiac, Folate, Transferrin, Lutropin, Myoglobin, IgA, Prostate specific Ag, Cholesterol.in LDL/Cholesterol.in HDL, Parathyrin.intact, Interleukin 6, Estradiol, Follitropin, Lipoprotein (little a), Bilirubin.glucuronidated+Bilirubin.albumin bound, Natriuretic peptide.B, Interpretation, Beta-2-Microglobulin, Alpha-1-Microglobulin in Urine, Angiotensin converting enzyme, Immunoglobulin light chains.kappa.free, Base excess^^standard, Protein/Creatinine in Urine, Testosterone, S100 calcium binding protein B, IgE, Prolactin, Bicarbonate^^standard, Osmolality in Urine, Cancer Ag 19-9, IgG in Urine, Osteocalcin, Protein, Ammonia, Bilirubin.non-glucuronidated, Lactate, Creatinine renal clearance, Homocysteine, Pyridoxal phosphate, Glucose, Calcium in Urine, Phosphate in Urine, Choriogonadotropin.beta subunit, Iron saturation, Sodium in Urine, Tumor necrosis factor.alpha, Protein, Corticotropin, Interleukin 2 receptor, Thyroglobulin, Progesterone, Alpha-2-Macroglobulin/Protein.total, Albumin/Creatinine in Urine, Lactate dehydrogenase, Enolase.neuron specific, Thiamine, Insulin-like growth factor-I, Immunoglobulin light chains.lambda.free, Dehydroepiandrosterone sulfate, Creatinine, Albumin, IgG, Bilirubin.glucuronidated, Choriogonadotropin (pregnancy test) in Urine, Holo-transcobalamin II, IgA, Albumin, IgM, Testosterone.free, Prostate specific Ag.free, Aldosterone, Triacylglycerol lipase, Sex hormone binding globulin, Urea in Urine, IgG subclass 4, Creatine kinase.MB/Creatine kinase.total
The Top 300 Dataset (Kerndatensatz Labor) was developed by the Medical Informatics Initiative Germany (MII) and contains frequency-sorted, LOINC-coded analyses of the university clinics in Göttingen, Gießen, Munich, Greifswald and Erlangen. This form shows a detailed description containing primary and secondary LOINC codes of the 300 most common laboratory parameters. For each of the 300 laboratory parameters an itemgroup was created with all accepted variants of the laboratory parameters as items (secondary LOINC codes), the first item being the preferred LOINC variant of the MII (primary LOINC code). The itemgroup title is based on the primary LOINC code. The list is divided into subforms by the associated classes of laboratory parameters. If more than one class, the parameters can be found in the MIXED subform. An overview of the preferred presentation can also be found in the MDM portal (Laboratory Tests (Overview)). https://www.medizininformatik-initiative.de/de/labordaten-in-der-medizininformatik-initiative Explanation of abbreviations for types of specimen and classes/subforms: Type of specimen: Bld = Blood BldA = arterial blood Ser = Serum Plas = Plasma RBC = Red blood cells PPP = Platelet poor plasma Urine sed = Urine sediment CSF = Cerebral spinal fluid Body fld = Body fluid Classes (Subforms): CHEM = Chemistry HEM/BC = Hematology/Blood Cell Count COAG = Coagulation study UA = Urinalysis CELLMARK = Cell markers CLIN = clinical not elsewhere classified DRUG/TOX = drug levels & toxicology SERO = serology MICRO = Microbiology SPEC = Specimen characteristics
- 16/07/2021 - 23 Formulaires, 10 Groupes Item, 47 Eléments de données, 1 Langue
Groupes Item: Underlying disease: Hematological diseases, Solid tumors, Other underlying diseases, NHL, Time of first diagnosis, BL (Oncological status), Prior anti-cancer therapy, Stem cell transplantation, Hypogammaglobuliaemia, Is data entry for this section finished?
Study Title: LEOSS: Lean European Open Survey on SARS-CoV-2 Infected Patients https://leoss.net Study Indication: COVID-19 Date: 19.03.2021 Published with permission by Prof. Dr. med. J.-J. Vehreschild. LEOSS, a multi-center cohort study, has been created to get more in-depth knowledge about the epidemiology and clinical course of patients infected with SARS-CoV-2. Initiated by the ESCMID Emerging Infections Task Force (EITaF) and the German Infectious Disease Society, and supported by all German Centers for Health Research (DZG), LEOSS has developed into an international network of contributors. Via an integrative research approach with anonymous recruitment and collection of routine data in an open science context, LEOSS is building a uniform clinical dataset and providing real-time analyses. For more information feel free to explore https://leoss.net/. Please note that only cases with known outcome are collected! Baseline / diagnosis is defined as the day the sample of the first positive SARS-CoV-2 result was taken. Criteria of the Uncomplicated Phase: Asymptomatic OR Symptoms of upper respiratory tract infection and/or Nausea, emesis, diarrhea and/or Fever Remember: The Uncomplicated Phase ends, if a previously febrile patient has no fever anymore and has completed 14 days of follow-up without entering Complicated or Critical Phase; then move to Recovery Phase. Also, as soon as one of the criteria of the Complicated or Critical Phase are fulfilled, Uncomplicated Phase ends; move over to there. If the patient has died, the phase ends with the death of the patient. If the patient has died, do not report terminal values, e.g. those recorded after switching off life-support or heart rate "0" after death of the patient. Criteria of the Complicated Phase: * Need for oxygen supplementation (In patients with prior oxygen home therapy, clinically meaningful increase in need for oxygenation.) * paO2 at room air < 70 mmHg * SO2 at room air < 90 % * GOT or GPT > 5x ULN * New cardiac arrhythmia * New pericardial effusion >1cm * New heart failure with pulmonary edema, congestive hepatopathy or peripheral edema Remember: The Complicated Phase ends, if none of the criteria for the Complicated Phase is fulfilled anymore AND the patient is free of fever; then move to Recovery Phase. Also, as soon as one of the criteria of the Critical Phase are fulfilled, Complicated Phase ends; move over to Critical Phase. If the patient has died, the phase ends with the death of the patient. If the patient has died, do not report terminal values, e.g. those recorded after switching off life-support or heart rate "0" after death of the patient. Criteria of the Critical Phase: * Need for catecholamines * Life-threatening cardiac arrhythmia * Mechanical ventilation (invasive or non-invasive) * Liver failure with Quick< 50% * qSOFA >= 2 * Renal failure in need of dialysis Remember: The Critical Phase ends as soon as none of the criteria for the Critical Phase is fulfilled anymore AND the patient is free of fever. If the patient has died, it ends with the death of the patient. If the patient has died, do not report terminal values, i.e. those recorded after turning off life-support or heart rate "0" after death of the patient. Criteria of the Recovery Phase: *Improvement by at least one phase, i.e. Critical to Complicated or Complicated to Uncomplicated * Defervescence Remember: Uncomplicated asymptomatic patients enter recovery phase after 14 days of observation without disease progression No further progression or re-hospitalization If a text field can't be filled out, note 'ND' (for not determined).

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