Evidence map›Paper›PMID 40704645›Full record

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

Technology-assisted revision knee arthroplasty reduces radiographic outliers compared with standard revision knee surgery: A systematic review.

Matteo Innocenti, Filippo Leggieri, Simon N van Laarhoven, Tommy de Windt, Roberto Civinini, Gijs G van Hellemondt

Abstract readSystematic ReviewComparative StudyMeta-Analysis
In one paragraph

Synthesis 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 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Robotics in revision knee arthroplasty: Solution, support tool or new source of complexity?Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Article
  4. Observational
  5. Article
  6. Article
  7. Review
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.

Matteo InnocentiDepartment of Clinical Orthopaedics, University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0001-9604-2042
Filippo LeggieriDepartment of Clinical Orthopaedics, University of Florence, Florence, Italy.ORCID https://orcid.org/0009-0007-1289-8849
Simon N van LaarhovenDepartment of Orthopaedic Surgery, Sint Maartenskliniek, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-7625-4259
Tommy de WindtOrthopedisch Centrum Oost Nederland, Orthopedic Center, Hengelo, the Netherlands.ORCID https://orcid.org/0000-0003-4086-317X
Roberto CivininiDepartment of Clinical Orthopaedics, University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-0010-7532
Gijs G van HellemondtDepartment of Orthopaedic Surgery, Sint Maartenskliniek, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-3720-8927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this systematic review was to evaluate the outcomes and complications associated with technology-assisted revision total knee arthroplasty (revTKA).

methodsA systematic search of PubMed, EMBASE, Web of Science and the Cochrane Library was conducted from inception to 31 October 2024. The inclusion criteria were experimental or observational studies with ≥10 patients undergoing robotic revTKA, evaluating clinical and/or radiological outcomes and/or complication rates. The exclusion criteria were isolated patellar revision, in vitro studies, letters to the editor, book chapters, conference papers, and studies without accessible full text. Each study was given a quality rating using the methodological index for non-randomised studies (MINORS). The included studies were divided into those reporting revision from TKA and those from unicompartmental knee arthroplasty (UKA), for both qualitative and quantitative synthesis. Random-effects meta-analyses were performed where appropriate. Mean differences with 95% confidence intervals (CIs) were calculated for radiographic parameters. Heterogeneity was assessed using the I

resultsAcross 20 studies (795 cases), 10 assessed revTKA and 10 examined revUKA. Of the revTKA studies, four were comparative cohorts, while among the revUKA studies, seven were comparative cohorts. Technology-assisted revTKA showed fewer outliers in hip-knee-ankle angle (13.3% [95% CI, 8.7%-19.0%] vs. 26.1% [95% CI, 16.3%-38.1%]), superior component positioning within ±3° for the lateral distal femoral angle (88.4% [95% CI, 83.2%-92.4%] vs. 79.7% [95% CI, 68.8%-87.5%]) and for the medial proximal tibial angle (91.2% [95% CI, 86.3%-94.6%] vs. 82.6% [95% CI, 72.0%-89.8%]), and better joint line restoration (79.5% vs. 58.3% within 4 mm). Procedures required an additional 15-24 min. Complication rates were comparable between groups. For UKA revisions, outcomes were generally similar between technology-assisted and conventional techniques, with mixed results on alignment accuracy and clinical scores.

conclusionTechnology-assisted revTKA achieves optimal alignment parameters and reduces the occurrence of outliers compared with conventional techniques. However, these radiographic improvements do not consistently translate into enhanced clinical outcomes or reduced complication rates. LEVEL OF EVIDENCE: Level IV.

Indexed as

Arthroplasty, Replacement, KneeReoperationRobotic Surgical ProceduresHumansKnee JointKnee ProsthesisPostoperative ComplicationsRadiographyjoint line restorationprecision accuracyrobotic‐assisted revision total knee arthroplastyrobotic‐assisted revision unicompartmental knee arthroplastytechnology

Identifiers

PMID40704645
PMCPMC12459324

What OpenQuestion holds

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LicenceCC BY
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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.