Evidence map›Paper›PMID 41768537›Full record

ReviewJournal of experimental orthopaedics2026

Knee kinesiography in 2026: Current and future applications for digital orthopaedics and personalised total knee arthroplasty: A narrative review.

Clément Favroul, Alix Cagnin, Cécile Batailler, Sébastien Lustig

Abstract readReview
In one paragraph

Review in Journal of experimental orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Clément FavroulDepartment 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 https://orcid.org/0009-0008-1487-5066
Alix CagninEmovi Montreal Quebec Canada.
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

Knee Kinesiography, using the KneeKG system, delivers clinically feasible, weight-bearing (WB) three-dimensional knee kinematics and is shifting total knee arthroplasty (TKA) from static templating to function-focused personalisation. This narrative review synthesises how KneeKG applications changed pre- and postoperative care and how these changes can translate into better patient outcomes. Preoperatively, KneeKG quantifies dynamic alignment, varus thrust, dynamic flexion contracture, pivot pattern, tibiofemoral translation, and tibial rotation during gait, defining a functional profile that relates to symptoms and can inform alignment philosophy, bearing selection, and soft-tissue strategy. When coupled with navigation or robotics, these data allow the anticipation of mid-flexion balance requirements while enabling surgeons to set functional targets more likely to yield natural, stable knee in WB condition. A KneeKG-guided prehabilitation pathway also facilitates the recalibration of expectations before surgery and can improve early patient-reported outcomes. Postoperatively, KneeKG audits whether intraoperative parameters (e.g., achieved gaps, implant components, etc.) translate into the intended dynamic behaviour, verifies bearing-intended pivot during WB tasks, and reveals modifiable residual deficits-such as persistent thrust, stiff-knee gait, valgus collapse, or excessive external tibial rotation-to target with therapy. Function-focused rehabilitation programmes anchored on a KneeKG exam demonstrated acceleration of recovery, increase in outcome scores, satisfaction, and raise of the proportion of patients reaching a patient acceptable symptom state, with benefits maintained beyond one year in subsets. Across the episode of care, KneeKG provides a common functional language that links preoperative planning, intraoperative execution, and postoperative rehabilitation, allowing teams to iterate from plan to performance and to close the loop between digital precision and real-world function. By operationalizing dynamic information at the point of care, this exam supports surgeons towards more accurate decisions, more predictable execution, and more personalised rehabilitation; ultimately improving patient-centred results after TKA. Level of Evidence: Level V, narrative review.

Indexed as

biomechanicsKneeKGrehabilitationrobotic‑assisted surgerytotal knee arthroplasty

Identifiers

PMID41768537
PMCPMC12948331

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.