Bias in electronic health record-based studies: Seeing the forest for the trees

Challenges in and Opportunities for Electronic Health Record-Based Data Analysis and Interpretation

Electronic health records (EHRs) have been increasingly adopted in clinical practices across the United States, providing a primary source of data for clinical research, particularly observational cohort studies. EHRs are a high-yield, low-maintenance source of longitudinal real-world data for large patient populations and provide a wealth of information and clinical contexts that are useful for clinical research and translation into practice. Despite these strengths, it is important to recognize the multiple limitations and challenges related to the use of EHR data in clinical research. Missing data are a major source of error and biases and can affect the representativeness of the cohort of interest, as well as the accuracy of the outcomes and exposures. Here, we aim to provide a critical understanding of the types of data available in EHRs and describe the impact of data heterogeneity, quality, and generalizability, which should be evaluated prior to and during the analysis of EHR data. We also identify challenges pertaining to data quality, including errors and biases, and examine potential sources of such biases and errors. Finally, we discuss approaches to mitigate and remediate these limitations. A proactive approach to addressing these issues can help ensure the integrity and quality of EHR data and the appropriateness of their use in clinical studies.

Long term outcomes of metabolic/bariatric surgery in adults

The prevalence of obesity continues to rise around the world, driving up the need for effective and durable treatments. The field of metabolic/bariatric surgery has grown rapidly in the past 25 years, with observational studies and randomized controlled trials investigating a broad range of long term outcomes. Metabolic/bariatric surgery results in durable and significant weight loss and improvements in comorbid conditions, including type 2 diabetes. Observational studies show that metabolic/bariatric surgery is associated with a lower incidence of cardiovascular events, cancer, and death. Weight regain is a risk in a fraction of patients, and an association exists between metabolic/bariatric surgery and an increased risk of developing substance and alcohol use disorders, suicidal ideation/attempts, and accidental death. Patients need lifelong follow-up to help to reduce the risk of these complications and other nutritional deficiencies. Different surgical procedures have important differences in risks and benefits, and a clear need exists for more long term research about less invasive and emerging procedures. Recent guidelines for the treatment of obesity and metabolic conditions have been updated to reflect this growth in knowledge, with an expansion of eligibility criteria, particularly people with type 2 diabetes and a body mass index between 30.0 and 34.9.