Evidence map›Paper›PMID 33198106›Full record

ArticleJournal of personalized medicine2020

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

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

Abstract readScoping Review
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patrick CurtinDepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USA.
Alexandra ConwayDepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USA.
Liu MartinDepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USA.ORCID 0000-0001-5714-0547
Eugenia LinDepartment of Surgery and Perioperative Care, University of Texas at Austin Dell Medical School, 1601 Trinity Street, Austin, TX 78712, USA.ORCID 0000-0002-2302-0552
Prakash JayakumarDepartment of Surgery and Perioperative Care, University of Texas at Austin Dell Medical School, 1601 Trinity Street, Austin, TX 78712, USA.
Eric SwartDepartment of Orthopedics, University of Massachusetts Medical Center, 55 N Lake Avenue, Worcester, MA 01655, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

orthopedicspredictive toolsweb-based tools

Identifiers

PMID33198106
PMCPMC7712817

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.