Evidence map›Paper›PMID 32144477›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2020

Clinical validation and accuracy testing of a radiographic decision aid for unicondylar knee arthroplasty patient selection in midterm follow-up.

Lars-Rene Tuecking, P Savov, T Richter, H Windhagen, M Ettinger

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 12 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

5 authors at 1 institution in 1 country.

Lars-Rene TueckingDepartment of Orthopaedic Surgery, Diakovere Annastift, Medical School Hannover, Anna-von-Borries-Str. 1-7, 30161, Hannover, Germany. lars-rene.tuecking@diakovere.de.ORCID http://orcid.org/0000-0003-3370-7064
P SavovDepartment of Orthopaedic Surgery, Diakovere Annastift, Medical School Hannover, Anna-von-Borries-Str. 1-7, 30161, Hannover, Germany.
T RichterDepartment of Orthopaedic Surgery, Diakovere Annastift, Medical School Hannover, Anna-von-Borries-Str. 1-7, 30161, Hannover, Germany.
H WindhagenDepartment of Orthopaedic Surgery, Diakovere Annastift, Medical School Hannover, Anna-von-Borries-Str. 1-7, 30161, Hannover, Germany.
M EttingerDepartment of Orthopaedic Surgery, Diakovere Annastift, Medical School Hannover, Anna-von-Borries-Str. 1-7, 30161, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to examine the predictive value concerning clinical outcome and implant survival, as well as the accuracy of individual tests of a recently published radiographic decision aid for unicondylar knee arthroplasty indication findings.

methodsIn the retrospective part of the study, 98 consecutive patients who had undergone unicondylar knee arthroplasty (Phase 3 Oxford medial UKA) were included, using revision questionnaires, as well as the Forgotten Joint Score-12 (FJS-12) and Knee Osteoarthritis Outcome Score (KOOS) and analysed for suitability of the radiographic decision aid. Inappropriate and appropriate indications were then compared concerning the clinical outcome and implant survival. The prospective part of the study assessed the accuracy of the decision aid's radiographic tests (varus and valgus stress views, true lateral view and skyline view), and included 90 patients. Definition as appropriate for UKA procedure included medial bone-on-bone situation in varus stress views, full-thickness lateral cartilage and functional medial collateral ligament in valgus stress views, functional anterior cruciate ligament (ACL) in true lateral views and absence of lateral facet osteoarthritis with bone loss in skyline views. Pre-operative radiographic assessment with respect to the decision aid was then compared with intraoperative articular conditions. The clinical outcome was analysed using non-parametric tests (Mann-Whitney U), and revision rates were compared using the Fisher's exact test. Accuracy assessment included calculations of the sensitivity, specificity, negative predictive value and positive predictive value. A p value < 0.05 was considered statistically significant.

resultsAppropriate unicondylar knee arthroplasty with respect to the decision aid showed a significantly lower revision rate compared to inappropriate unicondylar knee arthroplasty (7.3% vs. 50.0%, p < 0.0001), as well as higher clinical outcome scores (FJS-12: 53.13 vs. 31.25, p = 0.041 and KOOS-QDL: 68.75 vs. 50.0, p = 0.036). The overall sensitivity (70.1%) and specificity (76.2%) for the radiographic decision aid was comparably low, which was essentially based on false negative cases (22.7%) regarding medial bone-to-bone conditions.

conclusionThe radiographic decision aid is a helpful tool to predict clinical outcome and implant survival of mobile-bearing unicondylar knee arthroplasty. Strict use of the radiographic decision aid may lead to increased exclusion of appropriate patients with unicondylar knee arthroplasty implantation.

Indexed as

Decision Support TechniquesKnee ProsthesisAgedAged, 80 and overArthroplasty, Replacement, KneeFemaleFollow-Up StudiesHealth Care SurveysHumansMaleMiddle AgedProspective StudiesRadiographyRecovery of FunctionReproducibility of ResultsRetrospective StudiesClinical outcomeImplant survivalIndicationsPatient selectionUnicondylar knee arthroplasty

Identifiers

PMID32144477
OpenAlexW3009866077

What OpenQuestion holds

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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.