Evidence map›Paper›PMID 40130477›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2025

Beyond the coronal plane in robotic total knee arthroplasty-Part 1: Variations in tibial slope and distal femoral flexion do not affect outcomes.

Luca Andriollo, Christos Koutserimpas, Pietro Gregori, Elvire Servien, Cécile Batailler, Sébastien Lustig

Abstract read
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Augmented Reality-Guided Individualized Total Knee Arthroplasty: Initial Clinical Implementation and Results.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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  5. Functional alignment: Defined personalized alignment strategy with promising outcomes and room for improvement.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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.

Luca AndriolloDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.ORCID http://orcid.org/0009-0007-1586-2542
Christos KoutserimpasDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Pietro GregoriDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Elvire ServienDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Cécile BataillerDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Sébastien LustigDepartment of Orthopaedics Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRobotic-assisted total knee arthroplasty (TKA) and new alignment principles are transforming traditional implant positioning, not only in the coronal plane but also in the sagittal and axial planes. The impact of differences between a patient's native tibial slope (TS) and distal femoral flexion (DFF) compared to the final implant positioning remains unclear. This study aims to evaluate whether variations in TS (ΔTS) and DFF (ΔDFF) play a role in clinical outcomes and implant survival.

methodsThis retrospective study analysed patients who underwent robotic-assisted TKA following functional alignment (FA) principles between March 2021 and January 2023. A total of 310 patients were included. Preoperative and postoperative data, including radiographic and robotic measurements, were collected. Clinical outcomes (KSS, FJS-12 and AKPS), range of motion (ROM), complication rates, and implant survival were compared between groups at a minimum of 2 years follow-up.

resultsAt the final follow-up (mean 2.93 ± 0.62 years), no significant differences were found in clinical scores or ROM between groups with different ΔTS or ΔDFF values. Complication rates and implant survival (99%) were also similar. However, patients with ΔTS > 5° had a slightly increased femoral valgus alignment, while those with ΔDFF ≤ 5° had lower preoperative ROM, with the femoral implant positioned in varus.

conclusionsVariations between native and implant TS and DFF in robotic-assisted TKA do not negatively impact functional outcomes or implant survival. A personalised sagittal alignment approach within the concept of FA represents a progression to a functional knee positioning based on three dimensions. Further research is needed to explore the long-term effects of sagittal alignment on TKA performance. LEVEL OF EVIDENCE: Level III.

Indexed as

Arthroplasty, Replacement, KneeFemurKnee JointOsteoarthritis, KneeRobotic Surgical ProceduresTibiaAgedFemaleHumansKnee ProsthesisMaleMiddle AgedRange of Motion, ArticularRetrospective StudiesTreatment Outcomecombined flexionfunctional alignmentfunctional knee positioningsagittal alignmenttotal knee arthroplasty

Identifiers

PMID40130477
PMCPMC12310085

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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.