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Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review

Authors :
Patrick Curtin
Prakash Jayakumar
Liu Martin
Eric F. Swart
Alexandra Conway
Eugenia Lin
Source :
Journal of Personalized Medicine, Vol 10, Iss 223, p 223 (2020), Journal of Personalized Medicine
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches—one a broad search and the second a more targeted one involving high impact journals—with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool’s creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making.

Details

ISSN :
20754426
Volume :
10
Database :
OpenAIRE
Journal :
Journal of Personalized Medicine
Accession number :
edsair.doi.dedup.....2bdd0a7bf8b3bd45c5e6a20108b8b422
Full Text :
https://doi.org/10.3390/jpm10040223