Evidence map›Paper›PMID 38431650›Full record

ArticleArthroplasty (London, England)2024

Imageless robotic total knee arthroplasty determines similar coronal plane alignment of the knee (CPAK) parameters to long leg radiographs.

Adam I Edelstein, Alexander D Orsi, Christopher Plaskos, Simon Coffey, Linda I Suleiman

Open access · diamondAbstract read
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Article in Arthroplasty (London, England), 2024. 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
4.0field-weighted citation impact, top 6% 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, 7 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

5 authors at 3 institutions in 2 countries.

Adam I EdelsteinDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Alexander D OrsiClinical Research, Corin, Raynham, MA, 02767, USA.
Christopher PlaskosClinical Research, Corin, Raynham, MA, 02767, USA. Christopher.Plaskos@coringroup.com.ORCID http://orcid.org/0000-0003-2214-178X
Simon CoffeyDepartment of Orthopaedics, Nepean Hospital, Penrith, NSW, 2750, Australia.
Linda I SuleimanDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Northwestern University · USCore Laboratories (United States) · USNepean Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronal plane alignment of the knee (CPAK) classification was first developed using long leg radiographs (LLR) and has since been reported using image-based and imageless robotic total knee arthroplasty (TKA) systems. However, the correspondence between imageless robotics and LLR-derived CPAK parameters has yet to be investigated. This study therefore examined the differences in CPAK parameters determined with LLR and imageless robotic navigation using either generic or optimized cartilage wear assumptions.

methodsMedial proximal tibial angle (MPTA) and lateral distal femoral angle (LDFA) were determined from the intraoperative registration data of 61 imageless robotic TKAs using either a generic 2 mm literature-based wear assumption (Nav

resultsICCs between observers for LLR were over 0.95 for MPTA, LDFA, JLO, and aHKA, indicating excellent agreement. Mean CPAK differences were not significant between LLR and Nav

conclusionsImageless robotic navigation data can be used to calculate CPAK parameters for arthritic knees undergoing TKA with good agreement to LLR. Generic wear assumptions determined MPTA and LDFA with MAE within 2° and optimizing wear assumptions showed negligible improvement.

Indexed as

Coronal plane alignment of the kneeRobotic assisted surgeryTotal knee arthroplasty

Identifiers

PMID38431650
PMCPMC10909262
OpenAlexW4392756958

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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.