Evidence map›Paper›PMID 34760288›Full record

ReviewEFORT open reviews2021

Specific case consideration for implanting TKA with the Kinematic Alignment technique.

Charles Rivière, William Jackson, Loïc Villet, Sivan Sivaloganathan, Yaron Barziv, Pascal-André Vendittoli

Open access · goldAbstract readReview
In one paragraph

Review in EFORT open reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 17 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

6 authors at 5 institutions in 4 countries.

Charles RivièreClinique du Sport, Bordeaux-Mérignac, France.
William JacksonPersonalized Arthroplasty Society, Atlanta, Georgia, USA.
Loïc VilletClinique du Sport, Bordeaux-Mérignac, France.
Sivan SivaloganathanPersonalized Arthroplasty Society, Atlanta, Georgia, USA.
Yaron BarzivPersonalized Arthroplasty Society, Atlanta, Georgia, USA.
Pascal-André VendittoliPersonalized Arthroplasty Society, Atlanta, Georgia, USA.
Clinique du Sport · FRAssaf Harofeh Medical Center · ILEpsom Hospital · GBHôpital Maisonneuve-Rosemont · CANuffield Orthopaedic Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Kinematic Alignment (KA) technique for total knee arthroplasty (TKA) is an alternative surgical technique aiming to resurface knee articular surfaces.The restricted KA (rKA) technique for TKA applies boundaries to the KA technique in order to avoid reproducing extreme constitutional limb/knee anatomies.The vast majority of TKA cases are straightforward and can be performed with KA in a standard (unrestricted) fashion.There are some specific situations where performing KA TKA may be more challenging (complex KA TKA cases) and surgical technique adaptations should be included.To secure good clinical outcomes, complex KA TKA cases must be preoperatively recognized, and planned accordingly.The proposed classification system describes six specific issues that must be considered when aiming for a KA TKA implantation.Specific recommendations for each situation type should improve the reliability of the prosthetic implantation to the benefit of the patient.The proposed classification system could contribute to the adoption of a common language within our orthopaedic community that would ease inter-surgeon communication and could benefit the teaching of the KA technique. This proposed classification system is not exhaustive and will certainly be improved over time. Cite this article:

Indexed as

complex casesKinematic Alignmenttotal knee replacement

Identifiers

PMID34760288
PMCPMC8559564
OpenAlexW3207845808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.