Evidence map›Paper›PMID 27996349›Full record

Trial reportActa orthopaedica2017

Similar migration in computer-assisted and conventional total knee arthroplasty.

Gunnar Petursson, Anne Marie Fenstad, Øystein Gøthesen, Kristin Haugan, Gro Sævik Dyrhovden, Geir Hallan, Stephan M Röhrl, Arild Aamodt, Kjell G Nilsson, Ove Furnes

2 registry-linked trialsAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Acta orthopaedica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT04017533 nacompletednot on this mapstarted 2021, after this paper: background citation

In Vivo Stability of an Uncemented Total Knee Arthroplasty With Medially Stabilized Design

TypeinterventionalSponsorOslo University HospitalRan2021 to 2024Enrolled31ConditionsKnee OsteoarthritisArmsGMK Sphere TKR
NCT04525950 naactive not recruitingnot on this mapstarted 2020, after this paper: background citation

Robotized Computer Navigation Versus Conventional Technique in Total Knee Replacement. A Randomized, Clinical and Radiostereometric Trial.

TypeinterventionalSponsorHaukeland University HospitalRan2020 to 2031Enrolled214ConditionsArthritis, Degenerative, Osteo Arthritis KneeArmsNavio, Conventional
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Tech-trends in orthopedics 2018.Acta orthopaedica · 2018
    Article
  5. Article
  6. 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

10 authors.

Gunnar Peturssona Lovisenberg Diakonale Hospital , Oslo.
Anne Marie Fenstadb The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery , Haukeland University Hospital , Bergen.
Øystein Gøthesenb The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery , Haukeland University Hospital , Bergen.
Kristin Haugane Orthopaedic Research Center, Trondheim University Hospital , Trondheim.
Gro Sævik Dyrhovdenb The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery , Haukeland University Hospital , Bergen.
Geir Hallanc Department of Clinical Medicine , Institute of Medicine and Dentistry, University of Bergen , Bergen.
Stephan M Röhrlf Department of Orthopaedics , Oslo University Hospital, Ullevål , Oslo , Norway.
Arild Aamodta Lovisenberg Diakonale Hospital , Oslo.
Kjell G Nilssong Department of Surgical and Perioperative Sciences , Orthopaedics, Umeå University , Umeå , Sweden.
Ove Furnesb The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery , Haukeland University Hospital , Bergen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose - Computer-assisted surgery (CAS) in total knee arthroplasty (TKA) has been used in recent years in the hope of improving the alignment and positioning of the implant, thereby achieving a better functional outcome and durability. However, the role of computer navigation in TKA is still under debate. We used radiostereometric analysis (RSA) in a randomized controlled trial (RCT) to determine whether there are any differences in migration of the tibial component between CAS- and conventionally (CONV-) operated TKA. Patients and methods - 54 patients (CAS, n = 26; CONV, n = 28) with a mean age of 67 (56-78) years and with osteoarthritis or arthritic disease of the knee were recruited from 4 hospitals during the period 2009-2011. To estimate the mechanical stability of the tibial component, the patients were examined with RSA up to 24 months after operation. The following parameters representing tibial component micromotion were measured: 3-D vector of the prosthetic marker that moved the most, representing the magnitude of migration (maximum total point motion, MTPM); the largest negative value for y-translation (subsidence); the largest positive y-translation (lift-off); and prosthetic rotations. The precision of the RSA measurements was evaluated and migration in the 2 groups was compared. Results - Both groups had most migration within the first 3 months, but there was no statistically significant difference in the magnitude of the migration between the CAS group and the CONV group. From 3 to 24 months, the MTPM (in mm) was 0.058 and 0.103 (p = 0.1) for the CAS and CON groups, respectively, and the subsidence (in mm) was 0.005 and 0.011 (p = 0.3). Interpretation - Mean MTPM, subsidence, lift-off, and rotational movement of tibial trays were similar in CAS- and CONV-operated knees.

Indexed as

Knee ProsthesisProsthesis FailureAgedArthroplasty, Replacement, KneeFemaleHumansMaleMiddle AgedOsteoarthritis, KneePostoperative ComplicationsRadiostereometric AnalysisSurgery, Computer-Assisted

Identifiers

PMID27996349
PMCPMC5385111

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Registered trials

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.