Evidence map›Paper›PMID 39105993›Full record

Trial reportJournal of robotic surgery2024

Robotic arthroplasty software training improves understanding of total knee arthroplasty alignment and balancing principles: a randomized controlled trial.

Ahmed Saad, S Bleibleh, B Kayani, R Plastow, M Ollivier, Ed Davis, A Sharma

Erratum issuedAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ahmed SaadDepartment of Trauma and Orthopaedics, Royal Orthopaedic Hospital, Bristol Rd S, Northfield, Birmingham, B31 2AP, UK. Ahmed.saad3@nhs.net.ORCID http://orcid.org/0000-0002-5796-069X
S BleiblehDepartment of Trauma and Orthopaedics, Royal Orthopaedic Hospital, Bristol Rd S, Northfield, Birmingham, B31 2AP, UK.
B KayaniThe University of British Columbia, Vancouver, Canada.
R PlastowUniversity College London Hospitals, 235 Euston Rd., London, NW1 2BU, UK.
M OllivierCNRS, Institute Movement Science, Aix Marseille University, Marseille, France.
Ed DavisLower Limb Reconstruction Unit, Department of Trauma and Orthopaedics, Royal Orthopaedic Hospital, Bristol Rd S, Northfield, Birmingham, B31 2AP, UK.
A SharmaLower Limb Reconstruction Unit, Department of Trauma and Orthopaedics, Royal Orthopaedic Hospital, Bristol Rd S, Northfield, Birmingham, B31 2AP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding alignment and gap balancing in Total Knee Arthroplasty (TKA) can be challenging for trainee and experienced orthopedic surgeons. Traditional learning methods may not effectively translate to real-life scenarios. The advent of advanced technologies like robotic surgery and navigation systems has revolutionized intraoperative understanding of gap balancing techniques. This trial aims to investigate the effectiveness of robotic TKA planning software in educating trainees about alignment and ligament balancing. We hypothesize that a single session with the software will significantly enhance trainees' understanding of these techniques. This UK-based single-center, two-arm, group parallel randomized controlled trial was conducted during a national robotic arthroplasty symposium. It aims to evaluate the effect of robotic knee arthroplasty software training on understanding TKA alignment and gap balancing principles using Multiple Choice Questions (MCQs). The MCQ test was crafted based on established guidelines from a different institution with expert consensus in the field. Our study revealed that baseline knowledge of gap balancing and alignment principles was generally low among all participants. However, the intervention group, which received comprehensive robotic software training, demonstrated a significant improvement in their MCQ scores compared to the control group, which did not undergo the training. In conclusion, our study demonstrates that robotic arthroplasty software training significantly improves the understanding of TKA alignment and balancing principles among orthopedic trainees. Level of Evidence II.

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresSoftwareClinical CompetenceFemaleHumansKnee JointMaleArthroplastyGap balancingRandomized control trialRobotic trainingTKA

Identifiers

What OpenQuestion holds

Textmetadata
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.