Evidence map›Paper›PMID 36013547›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Online Instruction to Measure Axial Alignment with the Bonesetter App.

Mitchell Bernstein, Tatiana Bunge, Kadence Rosinski, Mauricio Kfuri, Brett Crist, Andrew Knapp, Rahul Vaidya

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Restoration of calcaneal anatomy and physiologic function after fracture: the importance of tuber length.OTA international : the open access journal of orthopaedic trauma · 2025
    Article
  3. Article
  4. Article
  5. Transparency films: intraoperative templating to prevent limb deformity.OTA international : the open access journal of orthopaedic trauma · 2023
    Article
  6. Article
  7. Review
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

7 authors at 3 institutions in 2 countries.

Mitchell BernsteinDepartment of Orthopedic Surgery, McGill University, Montreal, QC H3A 0G4, Canada.
Tatiana BungeDepartment of Orthopedic Surgery, Detroit Medical Center, Detroit, MI 48124, USA.
Kadence RosinskiDepartment of Orthopedic Surgery, Detroit Medical Center, Detroit, MI 48124, USA.
Mauricio KfuriDepartment of Orthopedic Surgery, University of Missouri, Columbia, MO 65211, USA.
Brett CristDepartment of Orthopedic Surgery, University of Missouri, Columbia, MO 65211, USA.
Andrew KnappDepartment of Orthopedic Surgery, Detroit Medical Center, Detroit, MI 48124, USA.
Rahul VaidyaDepartment of Orthopedic Surgery, Detroit Medical Center, Detroit, MI 48124, USA.ORCID 0000-0001-6870-6091
Detroit Medical Center · USUniversity of Missouri · USMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Alignment of the lower extremity is important when treating congenital deformities, fractures, and joint replacement. During the COVID-19 pandemic, AO North America offered an online course on deformity measurement and planning. The Bonesetter app is a deformity planning tool that is freely available online. The purpose of this study was to see how effective an online course was in teaching axial alignment measurement and to assess that skill using an online digital planning tool, the Bonesetter app. Materials and Methods: An online module on axial alignment was provided during the AONA osteotomy course as well as a tutorial on how to use an online digital planning tool (Bonesetter app). The tools within the Bonesetter app allow users to draw digital lines directly on the CT images and measure the exact angle between two planes. Participants in this study were directed to perform these measurements in four different cases that tested different variations of deformity. Results: The measurements were completed correctly in case 1 = 56%, case 2 = 61%, case 3 = 84%, and case 4 = 76%. The standard deviation of angular digital measurements between individuals was ±4.26 degrees. Measuring the angle directly vs. drawing angles to a horizontal line had smaller standard deviations per case (p < 0.005) and less incidents outside 1 standard deviation for each measurement. Errors in adding and subtracting were the most common errors, particularly in relation to femoral anteversion or retroversion. Conclusions: The online course successfully instructed a group of orthopedic surgeons to measure alignment and malalignment of lower limb axial deformities. The Bonesetter app helped participants to learn this skill and identify errors in measurement. The inability to differentiate between anteversion and retroversion of the femur is a common source of error when it occurs and should be a focus of instruction.

Indexed as

COVID-19Mobile ApplicationsFemurHumansOsteotomyPandemicsanteversionaxial alignmentBonesetter appdeformity correctionfemoral versionretroversiontibial torsion

Identifiers

PMID36013547
PMCPMC9415140
OpenAlexW4293679885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.