Evidence map›Paper›PMID 39716397›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2024

Accuracy of the Imageless Mode of the ROSA Robotic System for Targeted Resection Thickness in Total Knee Arthroplasty: A Prospective, Single Surgeon Case-Series Study.

Zakareya Gamie, Eustathios Kenanidis, Georgios Douvlis, Nikolaos Mylonakis, Alexander Maslaris, Eleftherios Tsiridis

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. External femoral rotation of 2 degrees is associated with the lowest stuffing rates around the femur in functionally aligned TKA.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
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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.

Zakareya GamieTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.ORCID https://orcid.org/0009-0002-2577-3969
Eustathios KenanidisTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-9517-1600
Georgios DouvlisTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.
Nikolaos MylonakisTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.
Alexander MaslarisTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.
Eleftherios TsiridisTsiridis Orthopaedic Institute, ICAROS Clinic, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the accuracy of targeted resection thickness in patients undergoing primary Total Knee Arthroplasty (TKA) using the ROSA robotic system.

methodsCalliper measurements of the distal femur (DF), proximal tibia (PT), and posterior condyles (PC) were taken in 44 patients from June 2023 to January 2024.

resultsPlanned and actual resection depth difference was 0.67 mm ± 0.6 mm (mean ± SD) (p = 0.217) and 0.94 mm ± 1.15 mm (p = 0.4) for medial and lateral DF, 0.93 mm ± 0.81 mm (p = 0.001) and 0.89 mm ± 0.8 mm (p = 0.008) for medial and lateral PT, and 1.1 mm ± 0.97 mm (p = 0.001) and 1.04 mm ± 0.79 mm (p = 0.001) for medial and lateral PC, respectively.

conclusionThe ROSA robotic system can achieve a high degree of accuracy for planned resection thickness. Results are valid only for the imageless ROSA TKA in patients with primary knee osteoarthritis.

Indexed as

Arthroplasty, Replacement, KneeFemurOsteoarthritis, KneeRobotic Surgical ProceduresAgedAged, 80 and overFemaleHumansKnee JointMaleMiddle AgedProspective StudiesSurgeonsTibiaarthroplastykneeroboticstechnology

Identifiers

PMID39716397
PMCPMC11666924

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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.