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

• Large Database and Registry Research in Joint Arthroplasty and Orthopaedics.

Databases

• Commercial Claims Data Sources: PearlDiver and Individual Payer Databases.
• International Registries: U.K. National Joint Registry, Nordic Registries, and Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR).
• Large Surgical Databases with Direct Data Abstraction: VASQIP and ACS-NSQIP.
• 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).
• State and Government Administrative Databases: Medicare, National Inpatient Sample (NIS), and State Inpatient Databases (SID) Programs.

Database-related topics

• Administrative Data Use in National Registry Efforts: Blessing or Curse?
• Analysis of New Orthopaedic Technologies in Large Database Research.
• Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here.
• Linkage Between Databases in Joint Arthroplasty and Orthopaedics: The Way Forward?
• Optimizing Use of Large Databases in Joint Arthroplasty and Orthopaedics.

Current concepts in statistics

The American Joint Replacement Research-Collaborative has published 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

• Living with survival analysis in orthopedics.
  • Living with survival analysis: Part 1. (YouTube)
  • Living with survival analysis: Part 2. (YouTube)
• Adjusted survival curves improve understanding of multivariable Cox model results.
  • Adjusted survival curves. (YouTube)
• Competing risk analysis: What does it mean and when do we need it in orthopedics research?
  • Competing risk analysis. (YouTube)
• Immortal time bias in the analysis of time-to-event data in orthopedics.
  • Immortal time bias. (YouTube)

Study design

• Avoiding systematic bias in orthopedics research through informed variable selection: A discussion of confounders, mediators, and colliders.
  • Avoiding systematic bias in orthopedics research through informed variable selection. (YouTube)
• Measurement error and misclassification in orthopedics: When study subjects are categorized in the wrong exposure or outcome groups.
  • Measurement error and misclassification in orthopedics. (YouTube)
• P-values and power in orthopedic research: Myths and reality.
  • P-values and power in orthopedic research. (YouTube)
• Study types in orthopaedics research: Is my study design appropriate for the research question?
  • Study types in orthopedics research: Is my study design appropriate for the research question? (YouTube)

Statistical analyses

• How to develop and validate prediction models for orthopedic outcomes.
  • Risk prediction models in orthopedics. (YouTube)
• How to distinguish correlation from causation in orthopaedic research.
  • Causation vs. correlation in orthopedics. (YouTube)
• Nuts and bolts of patient-reported outcomes in orthopaedics.
  • Patient-reported outcomes in orthopaedics. (YouTube)
• Propensity scores: Confounder adjustment when comparing nonrandomized groups in orthopaedic surgery.
  • Propensity scores: Confounder adjustment when comparing non-randomized groups in orthopaedic surgery. (YouTube)

Artificial intelligence (AI)

• An overview of machine learning in orthopedic surgery: An educational paper.
• Application of natural language processing in total joint arthroplasty: Opportunities and challenges.
• Demystifying statistics and machine learning in analysis of structured tabular data.
• 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.

• Workshop 1: Introduction to Machine Learning.
• Workshop 2: Introduction to Machine Learning for Tabular Data.
• Workshop 3: Introduction to Medical Imaging Data (Computer Vision).
• Workshop 4: Clinical Natural Language Processing.