ArticleContemporary clinical trials communications2021
Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network.
Article in Contemporary clinical trials communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Why Age Is Not Just a Number in Glomerular Disease.Kidney360 · 2026Article
- Evolving roles of Data Coordinating Centers in multisite research: Challenges and adaptations from a rapid scoping review.Journal of clinical and translational science · 2026Review
- Proteinuria Trajectory and Disease Progression in Children and Adults with IgA Nephropathy/Vasculitis.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa.Journal of clinical and translational science · 2023Article
- Immunosuppression Exposure and Risk of Infection-Related Acute Care Events in Patients With Glomerular Disease: An Observational Cohort Study.Kidney medicine · 2022Article
- Data Collection Theory in Healthcare Research: The Minimum Dataset in Quantitative Studies.Clinics and practice · 2022Article
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Validation of Diagnosis Codes to Identify Infection-Related Acute Care Events in Patients With Glomerular Disease.Kidney international reports · 2021Article
- CureGN-Diabetes Study: Rationale, Design, and Methods of a Prospective Observational Study of Glomerular Disease Patients with Diabetes.Glomerular diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 13 institutions in 3 countries.
Funding
Abstract
backgroundHigh data quality is of crucial importance to the integrity of research projects. In the conduct of multi-center observational cohort studies with increasing types and quantities of data, maintaining data quality is challenging, with few published guidelines.
methodsThe Cure Glomerulonephropathy (CureGN) Network has established numerous quality control procedures to manage the 70 participating sites in the United States, Canada, and Europe. This effort is supported and guided by the activities of several committees, including Data Quality, Recruitment and Retention, and Central Review, that work in tandem with the Data Coordinating Center to monitor the study. We have implemented coordinator training and feedback channels, data queries of questionable or missing data, and developed performance metrics for recruitment, retention, visit completion, data entry, recording of patient-reported outcomes, collection, shipping and accessing of biological samples and pathology materials, and processing, cataloging and accessing genetic data and materials.
resultsWe describe the development of data queries and site Report Cards, and their use in monitoring and encouraging excellence in site performance. We demonstrate improvements in data quality and completeness over 4 years after implementing these activities. We describe quality initiatives addressing specific challenges in collecting and cataloging whole slide images and other kidney pathology data, and novel methods of data quality assessment.
conclusionsThis paper reports the CureGN experience in optimizing data quality and underscores the importance of general and study-specific data quality initiatives to maintain excellence in the research measures of a multi-center observational study.
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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.