ArticleJournal of translational medicine2014
Cohort profile: Greifswald approach to individualized medicine (GANI_MED).
Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02970214 (Greifswald Approach to Individualized Medicine), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Greifswald Approach to Individualized Medicine (GANI_MED) - Follow-up of Cardiovascular Cohorts
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Narratives and tensions in the ethics of human proteomics literature: a scoping review.BMC medical ethics · 2026Pooled it
- Removing array-specific batch effects in GWAS mega-analyses by applying a two-step imputation workflow.Bioinformatics advances · 2026Article
- Characteristics of cohort data management systems (CDMS): a scoping review.BMC medical research methodology · 2025Article
- Effect of Discontinuation of Supportive Periodontal Therapy on Periodontal Status-A Retrospective Study.Journal of clinical periodontology · 2025Article
- Sustaining medical research - the role of trust and control.Health economics review · 2023Article
- Sustained agreement rates in the longitudinal assessment of lupus patients to a Broad Consent for personal data and specimen usage in the RHINEVIT biobank.Frontiers in medicine · 2023Article
- Comorbid Depression and Diabetes Are Associated with Impaired Health-Related Quality of Life in Chronic Kidney Disease Patients.Journal of clinical medicine · 2022Article
- Immunoadsorption for Treatment of Patients with Suspected Alzheimer Dementia and Agonistic Autoantibodies against Alpha1a-Adrenoceptor-Rationale and Design of the IMAD Pilot Study.Journal of clinical medicine · 2020Article
- Assessment of scalability and performance of the record linkage tool E-PIXJournal of translational medicine · 2020Article
- Association of childhood traumatization and neuropsychiatric outcomes with altered plasma micro RNA-levels.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Article
- Determination of the Pathological Features of NPC1 Variants in a Cellular Complementation Test.International journal of molecular sciences · 2019Article
- MiR-21 is up-regulated in urinary exosomes of chronic kidney disease patients and after glomerular injury.Journal of cellular and molecular medicine · 2019Article
- BDNF: mRNA expression in urine cells of patients with chronic kidney disease and its role in kidney function.Journal of cellular and molecular medicine · 2018Article
- MAGIC: once upon a time in consent management-a FHIRJournal of translational medicine · 2018Article
- New perspectives: systems medicine in cardiovascular disease.BMC systems biology · 2018Article
- Toolbox for Research, or how to facilitate a central data management in small-scale research projects.Journal of translational medicine · 2018Article
- mosaicQA - A General Approach to Facilitate Basic Data Quality Assurance for Epidemiological Research.Methods of information in medicine · 2017Article
- Serum protease activity in chronic kidney disease patients: The GANI_MED renal cohort.Experimental biology and medicine (Maywood, N.J.) · 2017Article
- Big Data Analytics for Genomic Medicine.International journal of molecular sciences · 2017Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
55 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividualized Medicine aims at providing optimal treatment for an individual patient at a given time based on his specific genetic and molecular characteristics. This requires excellent clinical stratification of patients as well as the availability of genomic data and biomarkers as prerequisites for the development of novel diagnostic tools and therapeutic strategies. The University Medicine Greifswald, Germany, has launched the "Greifswald Approach to Individualized Medicine" (GANI_MED) project to address major challenges of Individualized Medicine. Herein, we describe the implementation of the scientific and clinical infrastructure that allows future translation of findings relevant to Individualized Medicine into clinical practice. METHODS/
designClinical patient cohorts (N > 5,000) with an emphasis on metabolic and cardiovascular diseases are being established following a standardized protocol for the assessment of medical history, laboratory biomarkers, and the collection of various biosamples for bio-banking purposes. A multi-omics based biomarker assessment including genome-wide genotyping, transcriptome, metabolome, and proteome analyses complements the multi-level approach of GANI_MED. Comparisons with the general background population as characterized by our Study of Health in Pomerania (SHIP) are performed. A central data management structure has been implemented to capture and integrate all relevant clinical data for research purposes. Ethical research projects on informed consent procedures, reporting of incidental findings, and economic evaluations were launched in parallel.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.