ohdsi-studies Goto Github PK
Name: OHDSI Studies
Type: Organization
Name: OHDSI Studies
Type: Organization
This study uses 4 methods to correct the background incidence of covid-19 adverse events of special interest for phenotype error across a distributed database network. It assesses correction with 3 evaluation metrics.
Alcoholic Liver Disease (ALD): Medication and clinical parameters associated with course of disease
Comparative effectiveness and safety of anticoagulation strategies in patients undergoing open heart surgery using bioprosthetic valves
This study uses a probabilistic reference standard validation method to rapidly estimate the measurement errors of 5 acute pancreatitis phenotype definitions. It also computes comprehensive, population-level characteristics of the cohorts returned by the 5 phenotype algorithms.
Quantifying Bias in Epidemiologic Studies Evaluating the Association Between Acetaminophen Use and Cancer
OHDSI network study: external validation of a simple score model that predicts whether patients newly diagnosed with MDD actually have bipolar
A community effort to create mappings for codes in Brazil
WOO 2019 study: Predicting breast cancer within 3 years of a negative mammography
A package to extract chemotherapy records for cancer patients. The chemotherapy records are instantiated as Episode / Episode Event table with corresponding regimen as episode source concept id. The package also portrait the treatment patterns for patients with cancer and onset timing of the adverse event, i.e., neutropenia.
Development of cause of death predictive model using Patient-level prediction
OHDSI study to investigate the risk of schizophrenia in hypertensive patients using ACE inhibitor
Covid-19 pandEmic impacts on mental health Related conditions Via multi-database nEtwork: a LongitutinaL Observational study (CERVELLO)
Covid-19 pandemic impacts on mental health related conditions via multi-database network: a longitudinal observational study (CERVELLOPrevalence)
Characterization of Health by OHDSI Asia-Pacific chapter to identify Temporal Effect of the Pandemic
Study specifications from the DBMI/OHDSI/JNJ Study-a-thon on Women's Health.
A package to calculate the counts of the standard and source concepts in an OMOP CDM and extract the current version of the mappings used.
Patient level prediction for COVID-19 in younger patients (<50 years)
Future OHDSI network study to understand the baseline characteristics of cancer patients with COVID-19
Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) - a study to describe the baseline demographic, clinical characteristics, treatments and outcomes of interest among individuals tested for SARS-CoV-2 and/or diagnosed with COVID-19 compared to Influenza patients from 2017-2018
A central package for evaluation the cohorts used in the various Covid-19 studies
Evaluation of the safety (and where possible efficacy) of existing drugs considered for treatment of COVID-19.
The objective of the study is to assess the comparative effectiveness of famotidine and reduced severity of outcome (death or need for intensive services) in hospitalized COVID-19 patients versus use of PPIs, hydroxychloroquine or non-use of famotidine. This study will also assess the comparative effectiveness of 2nd generation H1 histamine receptor antagonists for reduced risk of death or intensive services in hospitalized COVID-19 patients versus montelukast, a leukotriene receptor antagonist, with similar indications as the H1 histamine receptor antagonist group.
Retrospective, real-world, observational study to estimate the population-level effects of hydroxychloroquine among patients with rheumatoid arthritis. Designed and executed during the OHDSI community COVID-19 virtual study-a-thon (March 26-29) to inform healthcare decision-making in response to the current global pandemic.
Retrospective, real-world, observational study to estimate the population-level effects of hydroxychloroquine among patients with rheumatoid arthritis on select psychiatric and influenza outcomes. Designed during the OHDSI community COVID-19 virtual study-a-thon (March 26-29) to inform healthcare decision-making in response to the current global pandemic.
Clinical Characterization of COVID-19
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