Observational studyBMC musculoskeletal disorders2014
Prediction of poor outcomes six months following total knee arthroplasty in patients awaiting surgery.
Observational study in BMC musculoskeletal disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Does Fibrosis Diathesis Influence the Recovery of Knee Mobility After Total Knee Replacement?
A Psychometric Analysis of the Arabic Version of Oxford Knee Score Before and After Total Knee Arthroplasty in a Middle East Population and an Exploration of Outcomes Post-total Knee Arthroplasty in the Middle East
The Association Between Pre-operative Pain Psychology and Hypersensitivity With Poor Functional Outcome After Knee Replacement
Retrospective Analysis of Patient Outcome Questionnaire Following Primary Knee Replacement
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating methodological quality of prognostic prediction models on patient-reported outcome measurements after total hip and total knee arthroplasty : a systematic review.Bone & joint open · 2026Pooled it
- Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model.Journal of orthopaedic surgery and research · 2022Trial
- Surgically modifiable factors measured by computer-navigation together with patient-specific factors predict knee society score after total knee arthroplasty.BMC musculoskeletal disorders · 2016Trial
- A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty.Journal of orthopaedic surgery and research · 2025Article
- Changing the narrative for exercise-based prehabilitation: Evidence-informed and shared decision making when discussing the need for a total knee arthroplasty with patients.Osteoarthritis and cartilage open · 2025Review
- Article
- Evaluating methodological quality of prognostic prediction models on patient reported outcome measurements after total hip replacement and total knee replacement surgery: a systematic review protocol.Systematic reviews · 2022Article
- Artificial intelligence in knee arthroplasty: current concept of the available clinical applications.Arthroplasty (London, England) · 2022Review
- Improved total knee arthroplasty pain outcome when joint gap targets are achieved throughout flexion.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022Article
- Evaluating willingness for surgery using the SMART Choice (Knee) patient prognostic tool for total knee arthroplasty: study protocol for a pragmatic randomised controlled trial.BMC musculoskeletal disorders · 2022Article
- A Systematic Review of the Use of Commercial Wearable Activity Trackers for Monitoring Recovery in Individuals Undergoing Total Hip Replacement Surgery.Cyborg and bionic systems (Washington, D.C.) · 2022Review
- Predictive Models for Clinical Outcomes in Total Knee Arthroplasty: A Systematic Analysis.Arthroplasty today · 2021Article
- Prognostic models for knee osteoarthritis: a protocol for systematic review, critical appraisal, and meta-analysis.Systematic reviews · 2021Article
- Developing prediction models for total knee replacement surgery in patients with osteoarthritis: Statistical analysis plan.Osteoarthritis and cartilage open · 2020Article
- The Effects of Bundled Payment Programs for Hip and Knee Arthroplasty on Patient-Reported Outcomes.The Journal of arthroplasty · 2020Observational
- Patient dissatisfaction following total knee arthroplasty: external validation of a new prediction model.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2019Article
- Association between preoperative anaemia and blood transfusion with long-term functional and quality of life outcomes amongst patients undergoing primary total knee arthroplasty in Singapore: a single-centre retrospective study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Psychosocial predictors for outcome after total joint arthroplasty: a prospective comparison of hip and knee arthroplasty.BMC musculoskeletal disorders · 2018Article
- Patient-specific and intra-operatively modifiable factors assessed by computer navigation predict maximal knee flexion one year after TKA.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2016Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentification of patients experiencing poor outcomes following total knee arthroplasty (TKA) before the intervention could allow better case selection, patient preparation and, likely, improved outcomes. The objective was to develop a preliminary prediction rule (PR) to identify patients enrolled on surgical wait lists who are at the greatest risk of poor outcomes 6 months after TKA.
methods141 patients scheduled for TKA were recruited prospectively from the wait lists of 3 hospitals in Quebec City, Canada. Knee pain, stiffness and function were measured 6 months after TKA with the Western Ontario and McMaster Osteoarthritis Index (WOMAC) and participants in the lowest quintile for the WOMAC total score were considered to have a poor outcome. Several variables measured at enrolment on the wait lists (baseline) were considered potential predictors: demographic, socioeconomic, psychosocial, and clinical factors including pain, stiffness and functional status measured with the WOMAC. The prediction rule was built with recursive partitioning.
resultsThe best prediction was provided by 5 items of the baseline WOMAC. The rule had a sensitivity of 82.1% (95% CI: 66.7-95.8), a specificity of 71.7% (95% CI: 62.8-79.8), a positive predictive value of 41.8% (95% CI: 29.7-55.0), a negative predictive value of 94.2% (95% CI: 87.1-97.5) and positive and negative likelihood ratios of 2.9 (95% CI: 1.8-4.7) and 0.3 (95% CI: 0.1-0.6) respectively.
conclusionsThe developed PR is a promising tool to identify patients at risk of worse outcomes 6 months after TKA as it could help improve the management of these patients. Further validation of this rule is however warranted before clinical use.
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.