Evidence map›Paper›PMID 39529977›Full record

ArticleArthroplasty today2024

Robotic Arm-Assisted Total Knee Arthroplasty Results in Smaller Femoral Components and Larger Tibial Baseplates Than the Manual Technique.

Jenna Bernstein, Matthew Hepinstall, Claire Donnelley, Vinaya Rajahraman, Daniel Waren, Ran Schwarzkopf, Daniel Wiznia

Abstract read
In one paragraph

Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jenna BernsteinConnecticut Orthopaedic Institute, Bridgeport, CT, USA.
Matthew HepinstallDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY, USA.
Claire DonnelleyOrthopaedic Surgery, Yale University, Yale New Haven Hospital, New Haven, CT, USA.
Vinaya RajahramanDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY, USA.
Daniel WarenDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY, USA.
Ran SchwarzkopfDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY, USA.
Daniel WizniaOrthopaedic Surgery, Yale University, Yale New Haven Hospital, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background: Robotic systems for total knee arthroplasty (TKA) may utilize computed tomography three-dimensional modeling and intraoperative ligamentous balancing data to assist surgeons with implant size and position. This study evaluated the effect of such robotic systems on implant selection. Methods: We reviewed 645 TKAs performed with a single prosthetic design at 2 academic medical centers between 2016 and 2022. A robotic system was utilized in 304 TKAs, 341 were conventionally instrumented. Implant sizing was compared between cohorts. Multivariate analyses assessed for confounding and effect modification on the basis of demographics. Results: The 2 cohorts exhibited no significant differences in age ( Conclusions: Robotic-arm assisted TKA with computed tomography-based three-dimensional planning was associated with a larger mean tibial component size and a smaller mean femoral component size when compared to conventionally instrumented TKAs. Observed differences likely reflect differences in the data informing implant size selection; effects on clinical outcomes warrant further study.

Indexed as

Computed tomographyPatient-specificRobotic armRobotic surgeryThree-dimensional planningTotal knee arthroplasty

Identifiers

PMID39529977
PMCPMC11551327

What OpenQuestion holds

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Registered trials

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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.