ReviewJournal of diabetes science and technology2016
Using Large Diabetes Databases for Research.
Review in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- Article
- Stopping Versus Continuing Metformin in Patients With Advanced CKD: A Nationwide Scottish Target Trial Emulation Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025 · on this mapObservational
- Cohort profile: the Nanjing Diabetes Cohort database - a population-based surveillance cohort.BMJ open · 2024Article
- Influence of diabetes and other risk factors on in-hospital mortality following kidney transplantation: an analysis of the Spanish National Hospital Discharge Database from 2016 to 2020.BMJ open diabetes research & care · 2024Article
- Neoadjuvant Intra-arterial Cytoreductive Chemotherapy Improves Outcomes in Lacrimal Gland Adenoid Cystic Carcinoma.The oncologist · 2024Article
- Prevalence of Dementia among Patients Hospitalized with Type 2 Diabetes Mellitus in Spain, 2011-2020: Sex-Related Disparities and Impact of the COVID-19 Pandemic.International journal of environmental research and public health · 2023Article
- Associations between parental type 2 diabetes risk and offspring birthweight and placental weight: a survival analysis using the Walker cohort.Diabetologia · 2022Article
- Elective hip arthroplasty rates and related complications in people with diabetes mellitus.Hip international : the journal of clinical and experimental research on hip pathology and therapy · 2022Article
- Adherence to General Diabetes and Foot Care Processes, with Prompt Referral, Are Associated with Amputation-Free Survival in People with Type 2 Diabetes and Foot Ulcers: A Scottish National Registry Analysis.Journal of diabetes research · 2022Article
- Artificial Intelligence in Adult Spinal Deformity.Acta neurochirurgica. Supplement · 2022Article
- Article
- The Challenges of Identifying Environmental Determinants of Type 1 Diabetes: In Search of the Holy Grail.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Review
- The opportunities and shortcomings of using big data and national databases for sarcoma research.Cancer · 2019Review
- Type 2 diabetes and in-hospital complications after revision of total hip and knee arthroplasty.PloS one · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are an increasing number of clinical, administrative and trial databases that can be used for research. These are particularly valuable if there are opportunities for linkage to other databases. This paper describes examples of the use of large diabetes databases for research. It reviews the advantages and disadvantages of using large diabetes databases for research and suggests solutions for some challenges. Large, high-quality databases offer potential sources of information for research at relatively low cost. Fundamental issues for using databases for research are the completeness of capture of cases within the population and time period of interest and accuracy of the diagnosis of diabetes and outcomes of interest. The extent to which people included in the database are representative should be considered if the database is not population based and there is the intention to extrapolate findings to the wider diabetes population. Information on key variables such as date of diagnosis or duration of diabetes may not be available at all, may be inaccurate or may contain a large amount of missing data. Information on key confounding factors is rarely available for the nondiabetic or general population limiting comparisons with the population of people with diabetes. However comparisons that allow for differences in distribution of important demographic factors may be feasible using data for the whole population or a matched cohort study design. In summary, diabetes databases can be used to address important research questions. Understanding the strengths and limitations of this approach is crucial to interpret the findings appropriately.
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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.