Evidence map›Paper›PMID 38727817›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2024

MRI use leading up to total knee arthroplasty: a retrospective cohort study.

Tiffany Lung, Johnathan R Lex, Daniel Pincus, Jodi Gatley, David Wasserstein, J Michael Paterson, Bheeshma Ravi

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Tiffany LungDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada.
Johnathan R LexDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada.ORCID http://orcid.org/0000-0002-8171-5344
Daniel PincusDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada.
Jodi GatleyICES, Toronto, Canada.
David WassersteinDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada.
J Michael PatersonICES, Toronto, Canada.
Bheeshma RaviDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada. bheeshma.ravi@sunnybrook.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemand for total knee arthroplasty (TKA) is increasing as it remains the gold-standard treatment for end-stage osteoarthritis (OA) of the knee. Magnetic resonance imaging (MRI) scans of the knee are not indicated for diagnosing knee OA and represent a possible delay to orthopaedic surgeon referral and unnecessary expenditure. The purpose of this study was to determine the proportion of patients who underwent an MRI in the two years prior to their primary TKA for OA and determine patient and physician associations with increased MRI usage.

methodsThis is a population-based cohort study using administrative data from Ontario, Canada. All patients over 40 years old who underwent their first primary TKA between April 1, 2008, and March 31, 2019, were included. Statistical analyses were performed using SAS and included the Cochran-Armitage test for trend of MRI prior to surgery. A predictive multivariable regression model was used to determine features correlated to receiving an MRI.

resultsThere were 194,989 eligible first-time TKA recipients, of which 38,244 (19.6%) received an MRI in the two years prior to their surgery. The majority of these (69.6%) were ordered by primary care physicians. Patients who received an MRI were younger, had fewer comorbidities and were more affluent than patients who did not (p < 0.001). MRI use prior to TKA increased from 2008 to 2018 (p < 0.001).

conclusionDespite MRIs rarely being indicated for the work-up of end-stage OA, nearly one in five patients have an MRI in the two years prior to their TKA. This may be increasing healthcare expenditure and surgical wait-times.

Indexed as

Arthroplasty, Replacement, KneeMagnetic Resonance ImagingOsteoarthritis, KneeAdultAgedFemaleHumansMaleMiddle AgedOntarioRetrospective StudiesEfficiencyHealthcare utilizationMagnetic resonance imagingOsteoarthritisQualityTotal knee arthroplasty

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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.