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. 2020 Nov 12;10(4):223.
doi: 10.3390/jpm10040223.

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

Patrick Curtin  1 , Alexandra Conway  1 , Liu Martin  1 , Eugenia Lin  2 , Prakash Jayakumar  2 , Eric Swart  1
Affiliations

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

Patrick Curtin et al. J Pers Med. .

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.

Keywords: orthopedics; predictive tools; web-based tools.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure A1
Figure A1
Search Strategy and Identification of Sources.
Figure 1
Figure 1
Article publication over time for web-based orthopedic predictive tools.
Figure 2
Figure 2
Study size used in tool creation.
Figure 3
Figure 3
Tool breakdown by output.
Figure 4
Figure 4
Tool breakdown by orthopedic category.
See this image and copyright information in PMC

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