ReviewJournal of clinical medicine2021
Complications of Reverse Total Shoulder Arthroplasty: A Computational Modelling Perspective.
Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- A CAD-to-Simulink framework for evaluating impingement-free motion in reverse total shoulder arthroplasty.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2026Article
- Hybrid system design on reverse total shoulder arthroplasty glenoid components.JSES reviews, reports, and techniques · 2026Article
- Safety and Early Results for Off-Label Use of Intranasal Calcitonin for Treatment of Nondisplaced Acromial and Scapular Spine Stress Fractures After Reverse Total Shoulder Arthroplasty.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024Article
- Patient-specific implants in reverse shoulder arthroplasty.Clinics in shoulder and elbow · 2024Article
- The Evolution of Reverse Total Shoulder Arthroplasty-Where Do We Stand and What Comes Next?Journal of clinical medicine · 2023Article
- Comparative FE biomechanical and microbial adhesion analyses on an implanted humerus.Journal of orthopaedicsArticle
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 2 institutions in 1 country.
Funding
Abstract
Reverse total shoulder arthroplasty (RTSA) is an established treatment for elderly patients with irreparable rotator cuff tears, complex proximal humerus fractures, and revision arthroplasty; however, with the increasing indications for RTSA over the last decade and younger implant recipients, post-operative complications have become more frequent, which has driven advances in computational modeling and simulation of reverse shoulder biomechanics. The objective of this study was to provide a review of previously published studies that employed computational modeling to investigate complications associated with RTSA. Models and applications were reviewed and categorized into four possible complications that included scapular notching, component loosening, glenohumeral joint instability, and acromial and scapular spine fracture, all of which remain a common cause of significant functional impairment and revision surgery. The computational shoulder modeling studies reviewed were primarily used to investigate the effects of implant design, intraoperative component placement, and surgical technique on postoperative shoulder biomechanics after RTSA, with the findings ultimately used to elucidate and mitigate complications. The most significant challenge associated with the development of computational models is in the encapsulation of patient-specific anatomy and surgical planning. The findings of this review provide a basis for future direction in computational modeling of the reverse shoulder.
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.