Publications and presentations
The AJRR-C team wrote the October 2022 issue of the JBJS: Journal of Bone and Joint Surgery to share the products of a symposium we hosted. The issue included the following articles:
Editorial
Databases
- Bolognesi MP, Habermann EB. Commercial claims data sources: PearlDiver and individual payer databases.
- Habermann EB, Harris AHS, Giori NJ. Large surgical databases with direct data abstraction: VASQIP and ACS-NSQIP.
- Hallstrom BR, Hughes RE, Huddleston JI 3rd. State-based and national U.S. registries: The Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI), California Joint Replacement Registry (CJRR), and American Joint Replacement Registry (AJRR).
- Meier SK, Pollock BD, Kurtz SM, Lau E. State and government administrative databases: Medicare, National Inpatient Sample (NIS), and State Inpatient Databases (SID) programs.
- Porter M, Rolfson O, de Steiger R. International registries: U.K. National Joint Registry, Nordic Registries, and Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR).
Database-related topics
- Bedard NA, Katz JN, Losina E, Opare-Addo MB, Kopp PT. Administrative data use in national registry efforts: Blessing or curse?
- Browne JA, Springer B, Spindler KP. Optimizing use of large databases in joint arthroplasty and orthopaedics.
- Callaghan JJ, DeMik DE, Carender CN, Bedard NA. Analysis of new orthopaedic technologies in large database research.
- Heckmann ND, Glusenkamp NT. Linkage between databases in joint arthroplasty and orthopaedics: The way forward?
- Khosravi B, Rouzrokh P, Erickson BJ. Getting more out of large databases and EHRs with natural language processing and artificial intelligence: The future is here.
Current concepts in statistics
The American Joint Replacement Research-Collaborative publishes research on statistical concepts including survivorship analysis, study design, statistical analyses and artificial intelligence. When available, videos are provided to supplement the published articles.
Survivorship analysis
The following articles were published in the October 2021 issue of the Journal of Arthroplasty.
- Crowson CS, Larson DR, Devick KL, Atkinson EJ, Lundgreen CS, Lewallen DG, Berry DJ, Maradit Kremers H. Living with survival analysis in orthopedics.
- Larson DR, Crowson CS, Devick KL, Lewallen DG, Berry DJ, Maradit Kremers H. Immortal time bias in the analysis of time-to-event data in orthopedics.
- Lundgreen CS, Larson DR, Atkinson EJ, Devick KL, Lewallen DG, Berry DJ, Maradit Kremers H, Crowson CS. Adjusted survival curves improve understanding of multivariable Cox model results.
- Maradit Kremers H, Devick KL, Larson DR, Lewallen DG, Berry DJ, Crowson CS. Competing risk analysis: What does it mean and when do we need it in orthopedics research?
Study design
The following articles were published in the October 2022 issue of the Journal of Arthroplasty.
- Devick KL, Zaniletti I, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. Avoiding systematic bias in orthopedics research through informed variable selection: A discussion of confounders, mediators, and colliders.
- Zaniletti I, Devick KL, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. Measurement error and misclassification in orthopedics: When study subjects are categorized in the wrong exposure or outcome groups.
- Zaniletti I, Devick KL, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. P-values and power in orthopedic research: Myths and reality.
- Zaniletti I, Devick KL, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. Study types in orthopaedics research: Is my study design appropriate for the research question?
Statistical analyses
The following articles were published in the April 2023 issue of the Journal of Arthroplasty.
- Larson DR, Zaniletti I, Lewallen DG, Berry DJ, Maradit Kremers H. Propensity scores: Confounder adjustment when comparing nonrandomized groups in orthopaedic surgery.
- Lee MK, Zaniletti I, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. Nuts and bolts of patient-reported outcomes in orthopaedics.
- Zaniletti I, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. How to develop and validate prediction models for orthopedic outcomes.
- Zaniletti I, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H. How to distinguish correlation from causation in orthopaedic research.
Artificial intelligence (AI)
The following articles were published in the October 2023 issue of the Journal of Arthroplasty.
- Khosravi B, Weston AD, Nugen F, Mickley JP, Maradit Kremers H, Wyles CC, Carter RE, Taunton MJ. Demystifying statistics and machine learning in analysis of structured tabular data.
- Nugen F, Vera Garcia DV, Sohn S, Mickley JP, Wyles CC, Erickson BJ, Taunton MJ. Application of natural language processing in total joint arthroplasty: Opportunities and challenges.
- Padash S, Mickley JP, Vera Garcia DV, Nugen F, Khosravi B, Erickson BJ, Wyles CC, Taunton MJ. An overview of machine learning in orthopedic surgery: An educational paper.
- Vera-Garcia DV, Nugen F, Padash S, Khosravi B, Mickley JP, Erickson BJ, Wyles CC, Taunton MJ. Educational overview of the concept and application of computer vision in arthroplasty.
- Introduction to machine learning for orthopedic surgeons. (YouTube)
AI workshops
The AJRR-C organized a series of AI workshops in collaboration with Mayo Clinic's Musculoskeletal Research Training Program. The workshops are available to view on YouTube.