ReviewDiabetes care2023
Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes.
Review in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Twelve-Month Real-World Use of an Advanced Hybrid Closed-Loop System Versus Previous Therapy in a Dutch Center For Specialized Type 1 Diabetes Care.Journal of diabetes science and technology · 2026Article
- Harnessing Digital Innovation for Diabetes Care: Insights From the Action4Diabetes-CorrelAid Data4Good Collaboration.JMIR diabetes · 2026Article
- A Retrospective Analysis of the Clinical Characteristics and Treatment Patterns Among Individuals with Diabetes Receiving Insulin Therapy in Japan: The Insulin JP2DB Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Economic Evaluation of NHS England's Type 2 Diabetes Path to Remission Pilot Scheme: Evidence From Real-World Data and Patient Simulation Modelling.PharmacoEconomics - open · 2026Article
- Intermittent energy restriction and risk of physician-diagnosed diabetes progression: a propensity-weighted real-world cohort study.Frontiers in nutrition · 2026Article
- From raw data to actionable insights: preprocessing real-world data for machine learning in diabetes care.Frontiers in digital health · 2026Article
- Using metabolic syndrome severity in the "real world": Associations with diabetes and cardiovascular disease in all of us vs. NHANES.Metabolism open · 2025Article
- Improvement of Cardiometabolic Control with Dapagliflozin in Patients with Type 2 Diabetes in Primary Care: The AGORA-AP Study.Medicina (Kaunas, Lithuania) · 2025Observational
- A cohort description and comparison of four European national diabetes registries for the REDDIE project.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Association between the body mass index and risk of cardiovascular events in sodium-glucose cotransporter 2 inhibitor users compared with dipeptidyl-peptidase 4 inhibitor users: A nationwide cohort study in Korea.Diabetes, obesity & metabolism · 2025Article
- Real world evidence of insulin and biosimilar insulin therapy-Opportunities to improve adherence, outcomes and cost-effectiveness.Diabetes, obesity & metabolism · 2025Review
- Development and validation of an algorithm for identifying patients undergoing dialysis from patients with advanced chronic kidney disease.Clinical and experimental nephrology · 2025Article
- Transparency in the secondary use of health data: assessing the status quo of guidance and best practices.Royal Society open science · 2025Article
- ROCKET T1D Remote Patient Monitoring Program: Launching Diabetes Management Habits in New-Onset Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2025Article
- Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study.BMJ open quality · 2024Article
- The Dexcom Community Glucose Monitoring Project: 6-Month Results Using Continuous Glucose Monitoring in Type 2 Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2024Article
- Beneficial Effect of Remote Glucose Monitoring and Computerized Insulin Dose Adjustment Algorithms Independent of Insulin Dose Increases in Sizeable Minorities of Patients.Clinical diabetes : a publication of the American Diabetes Association · 2024Article
- Diabetes prevention programme put to the test.Nature · 2023Article
- Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data.International journal of population data science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.