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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712817/ https://www.ncbi.nlm.nih.gov/pubmed/33198106 http://dx.doi.org/10.3390/jpm10040223 |
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author | Curtin, Patrick Conway, Alexandra Martin, Liu Lin, Eugenia Jayakumar, Prakash Swart, Eric |
author_facet | Curtin, Patrick Conway, Alexandra Martin, Liu Lin, Eugenia Jayakumar, Prakash Swart, Eric |
author_sort | Curtin, Patrick |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7712817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77128172020-12-04 Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review Curtin, Patrick Conway, Alexandra Martin, Liu Lin, Eugenia Jayakumar, Prakash Swart, Eric J Pers Med 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 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. MDPI 2020-11-12 /pmc/articles/PMC7712817/ /pubmed/33198106 http://dx.doi.org/10.3390/jpm10040223 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Curtin, Patrick Conway, Alexandra Martin, Liu Lin, Eugenia Jayakumar, Prakash Swart, Eric Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review |
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 | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712817/ https://www.ncbi.nlm.nih.gov/pubmed/33198106 http://dx.doi.org/10.3390/jpm10040223 |
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