ReviewCurrent reviews in musculoskeletal medicine2025
Navigating the Complexities of Range of Motion in Reverse Shoulder Arthroplasty: Innovations and Future Directions.
Review in Current reviews in musculoskeletal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Computer-Assisted Navigation in Shoulder Arthroplasty: A Narrative Review.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewWith the growing popularity and broadening indications for Reverse Shoulder Arthroplasty (RSA), increasing modularity in design and adjustments to each component can enhance postoperative range of motion (ROM), thus expanding treatment capabilities. This review outlines the advancements developed to optimize ROM through modifications in glenoid and humeral components and the integration of computational tools for surgical planning. RECENT
findingsEnhancements in glenoid component design aim to mitigate complications like scapular notching and improve ROM, particularly in abduction and external rotation. Modifications to the humeral component, including adjustments in neck-shaft angle and lateralization, also contribute to ROM optimization. The integration of computational modeling and intraoperative navigation is advancing towards a more tailored approach to RSA to increase postoperative ROM. While RSA has evolved considerably since the introduction of the Grammont prosthesis, current research continues to improve upon implant design and positioning to overcome early design limitations. Modifications such as glenoid lateralization and inferior positioning and humeral neck-shaft angle and lateralization contribute to better postoperative ROM. The integration of these advancements in implant adjustments with computational modeling for surgical planning has the potential to enhance ROM and patient-specific outcomes. Translating these biomechanical improvements into clinical benefit remains a key area for future investigation.
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Registered trials
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