ArticleJournal of clinical medicine2020
Predicting Total Knee Replacement from Symptomology and Radiographic Structural Change Using Artificial Neural Networks-Data from the Osteoarthritis Initiative (OAI).
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Accuracy of machine learning in identifying candidates for total knee arthroplasty (TKA) surgery: a systematic review and meta-analysis.European journal of medical research · 2025Pooled it
- Artificial intelligence in total and unicompartmental knee arthroplasty.BMC musculoskeletal disorders · 2024Pooled it
- Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel.BMC medical informatics and decision making · 2026Article
- A narrative review of the use of PROMs and machine learning to impact value-based clinical decision-making.BMC medical informatics and decision making · 2025Review
- Depressive symptoms influence progression to total knee arthroplasty in patients with early knee osteoarthritis: Evidence from the Osteoarthritis Initiative database.Journal of experimental orthopaedics · 2025Article
- Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence.Computers in biology and medicine · 2025Article
- Biases in Artificial Intelligence Application in Pain Medicine.Journal of pain research · 2025Review
- Radiomics analysis of patellofemoral joint improves knee replacement risk prediction: Data from the Multicenter Osteoarthritis Study (MOST).Osteoarthritis and cartilage open · 2024Article
- Artificial intelligence in planned orthopaedic care.SICOT-J · 2024Article
- The Prognostic Potential of End-Stage Knee Osteoarthritis and Its Components to Predict Knee Replacement: Data From the Osteoarthritis Initiative.The Journal of rheumatology · 2023Article
- Imaging of knee osteoarthritis: a review of multimodal diagnostic approach.Quantitative imaging in medicine and surgery · 2023Review
- A joint multi-modal learning method for early-stage knee osteoarthritis disease classification.Heliyon · 2023Article
- Can isokinetic test be a supportive tool for unilateral knee arthroplasty decision?Turkish journal of physical medicine and rehabilitation · 2023Article
- Predicting total knee replacement at 2 and 5 years in osteoarthritis patients using machine learning.BMJ surgery, interventions, & health technologies · 2023Article
- Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty.Scientific reports · 2022Article
- Artificial intelligence in diagnosis of knee osteoarthritis and prediction of arthroplasty outcomes: a review.Arthroplasty (London, England) · 2022Review
- Prediction models for the risk of total knee replacement: development and validation using data from multicentre cohort studies.The Lancet. Rheumatology · 2022Article
- Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case-control study.Therapeutic advances in musculoskeletal disease · 2022Article
- Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning.Radiology advances · 2022Article
- Risk factors for progression to total knee arthroplasty within two years of presentation for knee osteoarthritis.Journal of clinical orthopaedics and trauma · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to longitudinally investigate symptomatic and structural factors prior to total knee replacement (TKR) surgery in order to identify influential factors that can predict a patient's need for TKR surgery. In total, 165 participants (60% females; 64.5 ± 8.4 years; 29.7 ± 4.7 kg/m
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.