Evidence map›Paper›PMID 30689000›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2019

Age, gender, functional KSS, reason for revision and type of bone defect predict functional outcome 5 years after revision total knee arthroplasty: a multivariable prediction model.

Jan F M Verbeek, Gerjon Hannink, Koen C Defoort, Ate B Wymenga, Petra J C Heesterbeek

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Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
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  7. Defining the minimal clinically important difference for the knee society score following revision total knee arthroplasty.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    Article
  8. Article
  9. [Early effectiveness of computer navigation-assisted total knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021
    Article
  10. 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

5 authors.

Jan F M VerbeekDepartment of Orthopaedics, Sint Maartenskliniek, P.O. Box 9011, 6500 GM, Nijmegen, The Netherlands.
Gerjon HanninkDepartment of Operating Rooms, Radboud University Medical Center, PO Box 9101, 6500HB, Nijmegen, The Netherlands. gerjon.hannink@radboudumc.nl.ORCID http://orcid.org/0000-0001-9526-3775
Koen C DefoortDepartment of Orthopaedics, Sint Maartenskliniek, P.O. Box 9011, 6500 GM, Nijmegen, The Netherlands.
Ate B WymengaDepartment of Orthopaedics, Sint Maartenskliniek, P.O. Box 9011, 6500 GM, Nijmegen, The Netherlands.
Petra J C HeesterbeekResearch Sint Maartenskliniek, P.O. Box 9011, 6500 GM, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe number of revision total knee arthroplasties (rTKA) is increasing. Unfortunately, not all patients benefit from revision surgery. The aim of this study was to develop a clinical prediction model that can be used to predict the functional outcome 5 years after rTKA.

methodsData of patients receiving rTKA at Sint Maartenskliniek, Nijmegen, The Netherlands, from 2004 onwards were prospectively collected. Demographic and clinical variables and patient-reported outcome scores were collected and considered as potential predictors. Beneficial outcome was defined as an increase of ≥ 20 points on the functional knee society scores (fKSS) or an absolute fKSS ≥ 80 points 5 years after surgery. The prediction model was developed using backward logistic regression. Regression coefficients were converted into an easy to use prediction rule.

resultsOverall, 295 rTKA patients were included of whom 157 (53%) had beneficial fKSS 5 years later. Age, gender, femoral bone defects, preoperative fKSS, and stiffness as reason for revision were included in the model. Men had a higher chance of beneficial fKSS than women (OR 1.59, 95% CI 0.91-2.78). Patients with major bone defects (OR 0.44, 95% CI 0.22-0.85), higher age (IQR OR 0.39, 95% CI 0.26-0.58), higher preoperative fKSS (IQR OR 0.42, 95% CI 0.30-0.59), and severe stiffness (OR 0.48, 95% CI 0.20-1.15) had a lower chance of successful outcome. The model's AUC was 0.76, 95% CI 0.70-0.81.

conclusionEasily determinable characteristics of patients who need rTKA can be used to predict future functional outcome. Young men with low preoperative fKSS without severe stiffness are more likely to achieve a beneficial outcome. LEVEL OF EVIDENCE: IV.

Indexed as

Arthroplasty, Replacement, KneeModels, StatisticalRecovery of FunctionReoperationAdultAgedAged, 80 and overFemaleFemurFollow-Up StudiesHumansKnee JointMaleMiddle AgedNetherlandsClinical prediction modelFunctional outcomeKnee Society ScoreRevisionTotal knee arthroplasty

Identifiers

PMID30689000
PMCPMC6609585

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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.