Evidence map›Paper›PMID 41356958›Full record

ArticleCureus2025

Robotic-Assisted Kinematically Aligned Total Knee Arthroplasty.

Alex M Hollenberg, Joseph T Gibian, William A Zuke, Adam M Holzmeister, Nicholas Brown, Andrew M Schneider

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alex M HollenbergOrthopedic Surgery, Washington University School of Medicine, St. Louis, USA.
Joseph T GibianOrthopedic Surgery, Washington University School of Medicine, St. Louis, USA.
William A ZukeOrthopedic Surgery, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, USA.
Adam M HolzmeisterOrthopedic Surgery, BoulderCentre for Orthopedics and Spine, Boulder, USA.
Nicholas BrownOrthopaedic Surgery & Rehabilitation, Loyola University Medical Center, Maywood, USA.
Andrew M SchneiderOrthopedic Surgery, Washington University School of Medicine, St. Louis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal alignment strategy in total knee arthroplasty (TKA) has yet to be elucidated. Mechanical alignment (MA), traditionally thought of as the gold-standard approach, positions implants perpendicular to the mechanical axes of the femur and tibia to achieve neutral limb alignment in the coronal plane. By contrast, kinematic alignment (KA) seeks to recreate the patient's pre-arthritic joint line, limb geometry, and soft-tissue balance by resurfacing the distal femur and proximal tibia. Although multiple studies have reported either equivocal or improved functional outcomes for KA compared to MA, most KA techniques have relied on cartilage thickness assumptions and caliper-guided instrumentation, which can be limited by the precision of manual bone resections and may necessitate intraoperative bony recuts when residual soft tissue imbalance persists. To address these limitations, robotic-assisted TKA offers enhanced accuracy and reproducibility of implant placement by facilitating patient-specific bony resection planning, objective assessment of soft tissue balance, and intraoperative mapping of intact cartilage. In this article, we present our surgical technique for robotic-assisted kinematically aligned TKA, which leverages a CT-based robotic platform to map cartilage intraoperatively and guide patient-specific component placement in accordance with traditional KA principles.

Indexed as

cartilage mappingkinematic alignmentmechanical alignmentprimary total knee arthroplastyrobotic knee surgery

Identifiers

PMID41356958
PMCPMC12680525

What OpenQuestion holds

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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.