Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review.

Introduction: Machine learning (ML) models may offer a novel solution to reducing postoperative complication rates and improving post-surgical outcomes after total joint arthroplasty (TJA). However, the variety of different ML models that exist paired with the increasing number of potential inputs can make the implementation of this tool challenging. Therefore, we conducted a systematic review to assess the most optimal inputs of different ML models in predicting postoperative (1) medical outcomes, (2) orthopedic outcomes, and (3) patient-reported outcome measures (PROMs) after total joint arthroplasty.

Epidemiological Trends and Outcomes of Unicompartmental Knee Arthroplasty Among 104 Million Patients in the United States.

Background: Unicompartmental knee arthroplasty (UKA) is an alternative to total knee arthroplasty (TKA) for localized osteoarthritis. Recent advancements in UKA implant design and expanding patient criteria may have increased its utilization. However, few studies have examined the use of UKA in the United States.

Distal Clavicular Resection Worsens Outcomes in Rotator Cuff Repair: A National Database Study.

Introduction: Distal clavicular resection (DCR) is a procedure used to alleviate acromioclavicular joint (ACJ) pain, often done alongside rotator cuff repair (RCR). This investigation explored the relationships between DCR and RCR, outcomes of DCR during RCR, and complication rates of DCR.

Methods: This retrospective study used electronic medical record data from the TriNetX database.

Contemporary analysis of the learning curve for robotic-assisted total hip arthroplasty emerging technologies.

Robotic assisted (RA) total hip arthroplasty (THA) offers improved acetabular component placement and radiographic outcomes, but inconsistent assessment methods of its learning curves render the evaluation of adopting novel platforms challenging. Therefore, we conducted a systematic review to assess the learning curve associated with RA-THA, both tracking a surgeon's performance across initial cases and comparing their performance to manual THA (M-THA). PubMed, MEDLINE, EBSCOhost, and Google Scholar were searched on June 16, 2023, to identify studies published between January 1, 2000 and June 16, 2023 (PROSPERO registration: CRD42023437339).

Navigating the learning curve: assessing caseload and comparing outcomes before and after the learning curve of computer-navigated total hip arthroplasty.

Purpose: Computer-navigated (CN) total hip arthroplasty (THA) offers improved acetabular component placement and radiographic outcomes, but inconsistent assessment methods of its learning curves render the evaluation of adopting a novel platform challenging. Therefore, we conducted a systematic review to assess the learning curve associated with CN-THA, both tracking a surgeon's performance across initial cases and comparing their performance to manual THA (M-THA).

Methods: A search was conducted using PubMed, MEDLINE, EBSCOhost, and Google Scholar on June 16, 2023 to find research articles published after January 1, 2000 (PROSPERO registration: CRD4202339403) that investigated the learning curve associated with CN-THA.

The Epidemiology of Posttraumatic Osteoarthritis of the Knee in the United States: An Analysis of 948,853 Patients From 2000 to 2022.

Introduction: Posttraumatic osteoarthritis of the knee (PTOAK) is a known sequela of bony and soft-tissue articular knee injuries, although its historically reported prevalence is highly variable with no recent population-based studies.

Methods: The TriNetX/US Collaborative Network database was queried to identify adult patients diagnosed with a history of knee trauma using ICD-10-CM coding. Primary outcomes measured were yearly incidence proportion (IP), incidence rate (IR), and prevalence of knee osteoarthritis in the United States from 2000 to 2022.

Characterization and Reach of Orthopaedic Research Posted to Preprint Servers: Are We "Undercooking" Our Science?

Background: Although biomedical preprint servers have grown rapidly over the past several years, the harm to patient health and safety remains a major concern among several scientific communities. Despite previous studies examining the role of preprints during the Coronavirus-19 pandemic, there is limited information characterizing their impact on scientific communication in orthopaedic surgery.

Questions/purposes: (1) What are the characteristics (subspecialty, study design, geographic origin, and proportion of publications) of orthopaedic articles on three preprint servers? (2) What are the citation counts, abstract views, tweets, and Altmetric score per preprinted article and per corresponding publication?

Methods: Three of the largest preprint servers (medRxiv, bioRxiv, and Research Square) with a focus on biomedical topics were queried for all preprinted articles published between July 26, 2014, and September 1, 2021, using the following search terms: "orthopaedic," "orthopedic," "bone," "cartilage," "ligament," "tendon," "fracture," "dislocation," "hand," "wrist," "elbow," "shoulder," "spine," "spinal," "hip," "knee," "ankle," and "foot.