Large Database Studies in Orthopaedics and Sports Medicine Have Inherent Limitations and Biases That Must be Acknowledged and Managed

An increasing number of orthopaedic and sports medicine research studies use large databases of electronic health records and claim data aggregated from multiple health systems and corporations. While these databases benefit from study populations far larger than any single institution, they create additional risks of bias that may not exist in traditional orthopaedic clinical research designs. Researchers need to consider how the health data is transformed ("harmonized") into research data, how much data is missing, whether the length of follow-up within the database is disclosed, and whether the quality of the data input is uniform across contributing institutions. In some cases, these data may not be disclosed, especially for databases maintained by private for-profit entities. It remains unclear whether the perceived benefits of these databases truly outweigh concerns about transparency and bias, which need to be acknowledged and managed when presenting the data-supported conclusions.

Authors

Publication Details

Journal
Arthroscopy The Journal of Arthroscopic and Related Surgery
Published
2026-04-30
DOI
https://doi.org/10.1002/arj.70268
Primary Topic
Musculoskeletal Disorders and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.00
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article

Large Database Studies in Orthopaedics and Sports Medicine Have Inherent Limitations and Biases That Must be Acknowledged and Managed

George C. Balazs, Matthew Salzler, Michal J Rossi
Arthroscopy The Journal of Arthroscopic and Related Surgery
Musculoskeletal Disorders and Rehabilitation
article

Large Database Studies in Orthopaedics and Sports Medicine Have Inherent Limitations and Biases That Must be Acknowledged and Managed

George C. Balazs, Matthew Salzler, Michal J Rossi
article en

Abstract

An increasing number of orthopaedic and sports medicine research studies use large databases of electronic health records and claim data aggregated from multiple health systems and corporations. While these databases benefit from study populations far larger than any single institution, they create additional risks of bias that may not exist in traditional orthopaedic clinical research designs. Researchers need to consider how the health data is transformed ("harmonized") into research data, how much data is missing, whether the length of follow-up within the database is disclosed, and whether the quality of the data input is uniform across contributing institutions. In some cases, these data may not be disclosed, especially for databases maintained by private for-profit entities. It remains unclear whether the perceived benefits of these databases truly outweigh concerns about transparency and bias, which need to be acknowledged and managed when presenting the data-supported conclusions.

Arthroscopy The Journal of Arthroscopic and Related Surgery
Openalex Percentile: Top 14%
Musculoskeletal Disorders and Rehabilitation
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