Evidence map›Paper›PMID 34120210›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2022

Improved accuracy and reproducibility of a novel CT-free robotic surgical assistant for medial unicompartmental knee arthroplasty compared to conventional instrumentation: a cadaveric study.

Jess H Lonner, Ari D Seidenstein, Michael A Charters, W Trevor North, Nathan L Cafferky, Sridhar M Durbhakula, Atul F Kamath

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Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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 6 institutions in 2 countries.

Jess H LonnerRothman Orthopaedic Institute, 925 Chestnut St, Philadelphia, PA, 19107, USA. Jess.lonner@rothmanortho.com.
Ari D SeidensteinRothman Orthopaedics, Montvale, NJ, 07645, USA.
Michael A ChartersHenry Ford Health System, Detroit, MI, 48202, USA.
W Trevor NorthHenry Ford Health System, Detroit, MI, 48202, USA.
Nathan L CafferkyVail Summit Orthopaedic Foundation, Vail, CO, 81657, USA.
Sridhar M DurbhakulaWashington Joint Institute, Bethesda, MD, 20817, USA.
Atul F KamathOrthopaedic and Rheumatologic Institute, Cleveland Clinic, Cleveland, OH, 44113, USA.
Henry Ford Health System · USCleveland Clinic · USHackensack Meridian Health · USJoint Research Center · BERothman Orthopaedics · USStormont Vail Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlignment errors in medial unicompartmental knee arthroplasty (UKA) predispose to premature implant loosening and polyethylene wear. The purpose of this study was to determine whether a novel CT-free robotic surgical assistant improves the accuracy and reproducibility of bone resections in UKA compared to conventional manual instrumentation.

methodsSixty matched cadaveric limbs received medial UKA with either the ROSA

resultsCompared to conventional instrumentation, the accuracy of bone resections with CT-free robotic assistance was significantly improved for all bone resection parameters (p < 0.05), other than distal femoral resection depth, which did not differ significantly. Moreover, the variance was significantly lower (i.e. fewer chances of outliers) for five of seven parameters in the robotic group (p < 0.05). All values in the robotic group had a higher percentage of cases within 2° and 3° of the intraoperative plan. No re-cuts of the proximal tibia were required in the robotic group compared with 40% of cases in the conventional group.

conclusionThe ROSA LEVEL OF EVIDENCE: Cadaveric study, Level V.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisOsteoarthritis, KneeRobotic Surgical ProceduresCadaverHumansKnee JointReproducibility of ResultsAccuracyBone resectionConventional instrumentationRobotic surgeryROSA® Partial Knee SystemUnicompartmental knee arthroplasty

Identifiers

PMID34120210
OpenAlexW3169186853

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.