Evidence map›Paper›PMID 34830616›Full record

ReviewJournal of clinical medicine2021

Complications of Reverse Total Shoulder Arthroplasty: A Computational Modelling Perspective.

Yichen Huang, Lukas Ernstbrunner, Dale L Robinson, Peter Vee Sin Lee, David C Ackland

Open access · goldAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. 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 · 2026
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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 2 institutions in 1 country.

Yichen HuangDepartment of Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0003-3108-1440
Lukas ErnstbrunnerDepartment of Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0003-4920-8518
Dale L RobinsonDepartment of Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.
Peter Vee Sin LeeDepartment of Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0003-3666-4872
David C AcklandDepartment of Biomedical Engineering, University of Melbourne, Parkville, VIC 3010, Australia.
The University of Melbourne · AUThe Royal Melbourne Hospital · AU

Funding

Australian Research Council FT200100098Australian Research Council IC180100024
6 · The paper itself

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

acromion fracturebiomechanical modelfinite element modeljoint instabilitylooseningreverse shoulder prosthesisscapular notching

Identifiers

PMID34830616
PMCPMC8625535
OpenAlexW3213275076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.