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

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...

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Main Authors: Patrick Curtin, Alexandra Conway, Liu Martin, Eugenia Lin, Prakash Jayakumar, Eric Swart
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/10/4/223
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author Patrick Curtin
Alexandra Conway
Liu Martin
Eugenia Lin
Prakash Jayakumar
Eric Swart
author_facet Patrick Curtin
Alexandra Conway
Liu Martin
Eugenia Lin
Prakash Jayakumar
Eric Swart
author_sort Patrick Curtin
collection DOAJ
description 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.
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spelling doaj.art-b8015bad0e6d4d2c8d4acc298d66f9c02023-11-20T20:40:01ZengMDPI AGJournal of Personalized Medicine2075-44262020-11-0110422310.3390/jpm10040223Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping ReviewPatrick Curtin0Alexandra Conway1Liu Martin2Eugenia Lin3Prakash Jayakumar4Eric Swart5Department of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USADepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USADepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USADepartment of Surgery and Perioperative Care, University of Texas at Austin Dell Medical School, 1601 Trinity Street, Austin, TX 78712, USADepartment of Surgery and Perioperative Care, University of Texas at Austin Dell Medical School, 1601 Trinity Street, Austin, TX 78712, USADepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USAWeb-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.https://www.mdpi.com/2075-4426/10/4/223web-based toolsorthopedicspredictive tools
spellingShingle Patrick Curtin
Alexandra Conway
Liu Martin
Eugenia Lin
Prakash Jayakumar
Eric Swart
Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
Journal of Personalized Medicine
web-based tools
orthopedics
predictive tools
title Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
title_full Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
title_fullStr Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
title_full_unstemmed Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
title_short Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
title_sort compilation and analysis of web based orthopedic personalized predictive tools a scoping review
topic web-based tools
orthopedics
predictive tools
url https://www.mdpi.com/2075-4426/10/4/223
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