Evidence map›Paper›PMID 37271826›Full record

ArticleArthroplasty (London, England)2023

Biomechanical considerations for an easily-restricted robot-assisted kinematic alignment: a surgical technique note.

Pieralberto Valpiana, Stefano Ghirardelli, Rosa Susanna Valtanen, Salvatore Risitano, Ferdinando Iannotti, Christian Schaller, Karlos Zepeda, Michael Engl, Pier Francesco Indelli

Abstract read
In one paragraph

Article in Arthroplasty (London, England), 2023. 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.

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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

9 authors.

Pieralberto ValpianaSüdtiroler Sanitätsbetrieb, 39042, Brixen, Italy.
Stefano GhirardelliSüdtiroler Sanitätsbetrieb, 39042, Brixen, Italy.
Rosa Susanna ValtanenDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, Stanford, CA, 94063, USA.
Salvatore RisitanoDepartment of Orthopaedics and Traumatology, University of Turin, CTO, 10126, Turin, Italy.
Ferdinando IannottiDivision Orthopaedic Surgery, Ospedale San Paolo, 00053, Civitavecchia, Italy.
Christian SchallerSüdtiroler Sanitätsbetrieb, 39042, Brixen, Italy.
Karlos ZepedaTouro College of Osteopathic Medicine, New York, NY, 10027, USA.
Michael EnglSüdtiroler Sanitätsbetrieb, 39042, Brixen, Italy.
Pier Francesco IndelliSüdtiroler Sanitätsbetrieb, 39042, Brixen, Italy. pindelli@stanford.edu.ORCID http://orcid.org/0000-0002-4752-8027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn total knee arthroplasty, the normal kinematics of the knee may not be restored solely based on preoperative gait, fluoroscopic-based, and dynamic radiostereometric analyses. SURGICAL TECHNIQUE CASE PRESENTATION: This note introduced a 69-year-old male patient who sustained post-traumatic osteoarthritis of his right knee. He underwent robot-assisted total knee arthroplasty based on anatomical reproduction of knee stability during the swing phase of gait. The kinematic alignment was simply achieved within an easy-to-identified range after preoperative radiographic assessment, intraoperative landmarking and pre-validated osteotomy, and intraoperative range of motion testing.

conclusionsThis novel technique allows personalized and imageless total knee arthroplasty. It provides a preliminary path in reproducing the anatomy alignment, natural collateral ligament laxity, and accurate component placement within safe-to-identified alignment boundaries.

Indexed as

AlignmentKinematic alignment (KA)KneeRestricted kinematic alignment (rKA)RoboticsTotal knee arthroplasty (TKA)

Identifiers

PMID37271826
PMCPMC10240684

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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.