Evidence map›Paper›PMID 25026930›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2015

Roentgen stereophotogrammetric analysis: an effective tool to predict implant survival after an all-poly unicompartmental knee arthroplasty-a 10 year follow-up study.

Danilo Bruni, Laura Bragonzoni, Michele Gagliardi, Marco Bontempi, Ibrahim Akkawi, Giovanni Francesco Raspugli, Francesco Iacono, Silvio Patella, Maurilio Marcacci

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In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Danilo BruniBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. d.bruni@biomec.ior.it.
Laura BragonzoniDipartimento di Scienze Biomediche e Neuromotorie (DIBINEM), Univeristà di Bologna, Bologna, Italy. l.bragonzoni@biomec.ior.it.
Michele GagliardiBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. michele.gagliardi4@studio.unibo.it.
Marco BontempiBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. m.bontempi@biomec.ior.it.
Ibrahim AkkawiBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. ibrahim.akkawi@studio.unibo.it.
Giovanni Francesco RaspugliBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. giovi.ras@hotmail.it.
Francesco IaconoBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. f.iacono@biomec.ior.it.
Silvio PatellaBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. s.patella@biomec.ior.it.
Maurilio MarcacciBiomechanics and Technological Innovation Laboratory, Codivilla-Putti Research Center, Rizzoli Orthopaedic Institute, Bologna University, Via Di Barbiano 1-10, 40136, Bologna, Italy. m.marcacci@biomec.ior.it.
Istituto Ortopedico Rizzoli · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe main purpose of the present study was to determine long-term implant fixation of 15 unicompartmental knee arthroplasty (UKAs) with an all-poly tibial component using Roentgen stereophotogrammetric analysis (RSA) at a mean 10-year follow-up. The secondary purpose was to investigate whether the progressive loss of implant's fixation correlates with a reduction in Knee society score (KSS).

methodsFifteen non-consecutive patients with primary knee osteoarthritis received a UKA with an all-poly tibial component were assessed using KSS scores pre-operatively and post-operatively and RSA on day 2 after surgery, then at 3, 6, and 12 months and yearly thereafter. The mean last follow-up was 10 years.

resultsAn increase in maximum total point motion (MTPM) values from 6 months to 1 year post-operatively was found respect to post-operative reference. Implants' displacement values were always <2 mm during the first 6 months, and then, two different trends were noticed in revised and non-revised implants. MTPM increase between 1 and 2 years of follow-up in non-revised UKAs was always <0.2 mm, whereas it was >0.2 mm in revised UKAs. A linear and negative correlation with statistical significance was found between MTPM and both clinical and functional KSS scores (p < 0.001).

conclusionAlso in a long-term follow-up evaluation, RSA is an effective tool to predict functional results after an all-poly UKA providing also a relevant predictive value at 1 year follow-up, and this can be very useful for both patients and surgeons. LEVEL OF EVIDENCE: Diagnostic studies, Level III.

Indexed as

Knee ProsthesisRadiostereometric AnalysisAgedArthroplasty, Replacement, KneeFemaleFollow-Up StudiesHumansKnee JointMaleOsteoarthritis, KneeProsthesis DesignProsthesis FailureTreatment OutcomeAll-poly tibial component unicompartmental knee arthroplastyImplant fixationMaximum total point motionRoentgen stereophotogrammetric analysis

Identifiers

PMID25026930
OpenAlexW2109349061

What OpenQuestion holds

Textmetadata
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.