Evidence map›Paper›PMID 35209877›Full record

ArticleBMC musculoskeletal disorders2022

Evaluating willingness for surgery using the SMART Choice (Knee) patient prognostic tool for total knee arthroplasty: study protocol for a pragmatic randomised controlled trial.

Yuxuan Zhou, Claire Weeden, Lauren Patten, Michelle Dowsey, Samantha Bunzli, Peter Choong, Chris Schilling

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Trial
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  4. Review
  5. Article
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  7. Global mapping of institutional and hospital-based (Level II-IV) arthroplasty registries: a scoping review.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
  8. 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

7 authors.

Yuxuan ZhouDepartment of Surgery, The University of Melbourne, Melbourne, Australia. Yzho527@aucklanduni.ac.nz.ORCID http://orcid.org/0000-0002-2653-2107
Claire WeedenDepartment of Surgery, The University of Melbourne, Melbourne, Australia.
Lauren PattenDepartment of Surgery, The University of Melbourne, Melbourne, Australia.
Michelle DowseyDepartment of Surgery, The University of Melbourne, Melbourne, Australia.
Samantha BunzliDepartment of Surgery, The University of Melbourne, Melbourne, Australia.
Peter ChoongDepartment of Surgery, The University of Melbourne, Melbourne, Australia.
Chris SchillingDepartment of Surgery, The University of Melbourne, Melbourne, Australia.

Funding

HCF Research Foundation N/A
6 · The paper itself

Abstract

backgroundApproximately 1 in 5 patients feel unsatisfied after total knee arthroplasty (TKA). Prognostic tools may aid in the patient selection process and reduce the proportion of patients who experience unsatisfactory surgery. This study uses the prognostic tool SMART Choice (Patient Prognostic Tool for Total Knee Arthroplasty) to predict patient improvement after TKA. The tool aims to be used by the patient without clinician input and does not require clinical data such as X-ray findings or blood results. The objective of this study is to evaluate the SMART Choice tool on patient decision making, particularly willingness for surgery. We hypothesise that the use of the SMART Choice tool will influence willingness to undergo surgery, especially when used earlier in the patient TKA journey.

methodsThis is a multicentred, pragmatic, randomised controlled trial conducted in Melbourne, Australia. Participants will be recruited from the St. Vincent's Hospital, Melbourne (SVHM) Orthopaedic Clinic, and the client base of HCF, Australia (private health insurance company). Patients over 45 years of age who have been diagnosed with knee osteoarthritis and considering TKA are eligible for participation. Participants will be randomised to either use the SMART Choice tool or treatment as usual. The SMART Choice tool provides users with a prediction for improvement or deterioration / no change after surgery based on utility score change calculated from the Veterans-RAND 12 (VR-12) survey. The primary outcome of the study is patient willingness for TKA surgery. The secondary outcomes include evaluating the optimal timing for tool use and using decision quality questionnaires to understand the patient experience when using the tool. Participants will be followed up for 6 months from the time of recruitment. DISCUSSION: The SMART Choice tool has the potential to improve patient decision making for TKA. Although many prognostic tools have been developed for other areas of surgery, most are confined within academic bodies of work. This study will be one of the first to evaluate the impact of a prognostic tool on patient decision making using a prospective clinical trial, an important step in transitioning the tool for use in clinical practice.

trial registrationAustralia and New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12622000072718 . Prospectively registered - 21 January 2022.

Indexed as

Arthroplasty, Replacement, KneeDecision Support Systems, ClinicalOsteoarthritis, KneeHumansKnee JointMiddle AgedMulticenter Studies as TopicPragmatic Clinical Trials as TopicPrognosisProspective StudiesTreatment OutcomeArtificial intelligenceDecision support toolsMachine learningOsteoarthritisPatient-reported outcome measuresPatient satisfactionPredictive modelPrognostic toolTotal knee arthroplastyWillingness for surgery

Identifiers

PMID35209877
PMCPMC8876449

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Registered trials

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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.