Evidence map›Paper›PMID 41049558›Full record

ArticleArthroplasty today2025

Surgical Technique for Imageless Robotic-Assisted Revision Total Knee Arthroplasty.

Sebastian Braun, Kristen I Barton, Brent A Lanting, James L Howard

Abstract read
In one paragraph

Article in Arthroplasty today, 2025. 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.

Sebastian BraunClinical Fellow in Hip and Knee Adult Reconstruction, Division of Orthopaedic Surgery, Department of Surgery, Schulich School of Medicine and Dentistry, Western University and London Health Sciences Centre, London, Ontario, Canada.
Kristen I BartonAdjunct Research Professor, Faculty of Health Sciences, Division of Orthopaedic Surgery, Department of Surgery, Western University and London Health Sciences Centre, London, Ontario, Canada.
Brent A LantingDivision of Orthopaedic Surgery, Department of Surgery, Schulich School of Medicine and Dentistry, Western University and London Health Sciences Centre, London, Ontario, Canada.
James L HowardDivision of Orthopaedic Surgery, Department of Surgery, Schulich School of Medicine and Dentistry, Western University and London Health Sciences Centre, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Success in total knee arthroplasty (TKA) depends on restoring proper joint alignment and implant positioning. While robotic-assisted systems enhance precision in primary TKA, their use in revision TKA is limited due to challenges like bone loss, soft tissue contractures, and metal artifacts. This manuscript presents an imageless robotic navigation technique for revision TKA, eliminating the need for preoperative imaging and allowing intraoperative flexibility. After registering anatomical landmarks and implant removal, the system reassesses anatomy for iterative adjustments based on bone and soft tissue conditions. Unlike traditional canal-referenced methods, this approach aligns components relative to the joint line, enabling individualized positioning. Real-time feedback guides accurate bone cuts and soft tissue balancing. A case example illustrates the procedure. Further studies are needed to confirm long-term clinical benefits.

Indexed as

Imageless robotic navigationRevision total knee arthroplastyRobotic-assisted surgery

Identifiers

PMID41049558
PMCPMC12489787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.