Evidence map›Paper›PMID 34412670›Full record

ArticleArthritis research & therapy2021

Diagnosis of early stage knee osteoarthritis based on early clinical course: data from the CHECK cohort.

Qiuke Wang, Jos Runhaar, Margreet Kloppenburg, Maarten Boers, Johannes W J Bijlsma, Sita M A Bierma-Zeinstra, CREDO expert group

Abstract read
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Article in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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0cells of the map it votes in
15citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. [Advances in deep learning multimodal fusion for early diagnosis of knee osteoarthritis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qiuke WangDepartment of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands. q.wang@erasmusmc.nl.
Jos RunhaarDepartment of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands.
Margreet KloppenburgDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Maarten BoersDepartment of Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands.
Johannes W J BijlsmaDepartment of Rheumatology and Clinical Immunology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Sita M A Bierma-ZeinstraDepartment of General Practice, Erasmus MC University Center Rotterdam, Rotterdam, The Netherlands.
CREDO expert group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of knee osteoarthritis (OA) is important in managing this disease, but such an early diagnostic tool is still lacking in clinical practice. The purpose of this study was to develop diagnostic models for early stage knee OA based on the first 2-year clinical course after the patient's initial presentation in primary care and to identify whether these course factors had additive discriminative value over baseline factors.

methodsWe extracted eligible patients' clinical and radiographic data from the CHECK cohort and formed the first 2-year course factors according to the factors' changes over the 2 years. Clinical expert consensus-based diagnosis, which was made via evaluating patients' 5- to 10-year follow-up data, was used as the outcome factor. Four models were developed: model 1, included clinical course factors only; model 2, included clinical and radiographic course factors; model 3, clinical baseline factors + clinical course factors; and model 4, clinical and radiographic baseline factors + clinical and radiographic course factors. All the models were built by a generalized estimating equation with a backward selection method. Area under the receiver operating characteristic curve (AUC) and its 95% confidence interval (CI) were calculated for assessing model discrimination. Delong's method compared AUCs.

resultsSeven hundred sixty-one patients with 1185 symptomatic knees were included in this study. Thirty-seven percent knees were diagnosed as OA at follow-up. Model 1 contained 6 clinical course factors; model 2: 6 clinical and 3 radiographic course factors; model 3: 6 baseline clinical factors combined with 5 clinical course factors; and model 4: 4 clinical and 1 radiographic baseline factors combined with 5 clinical and 3 radiographic course factors. Model discriminations are as follows: model 1, AUC 0.70 (95% CI 0.67-0.74); model 2, 0.74 (95% CI 0.71-0.77); model 3, 0.77 (95% CI 0.74-0.80); and model 4, 0.80 (95% CI 0.77-0.82). AUCs of model 3 and model 4 were slightly but significantly higher than corresponding baseline-factor models (model 3 0.77 vs 0.75, p = 0.031; model 4 0.80 vs 0.76, p = 0.003).

conclusionsFour diagnostic models were developed with "fair" to "good" discriminations. First 2-year course factors had additive discriminative value over baseline factors.

Indexed as

Osteoarthritis, KneeCohort StudiesDisease ProgressionEarly DiagnosisHumansROC CurveCHECK cohortEarly clinical courseEarly diagnosisKnee osteoarthritis

Identifiers

PMID34412670
PMCPMC8375192

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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.