ArticleJSES reviews, reports, and techniques2026
Navigation in reverse total shoulder arthroplasty: a retrospective study.
Article in JSES reviews, reports, and techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
5 authors.
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Abstract
Background: The purpose of this study was to evaluate radiographic accuracy and assess the learning curve associated with a single surgeon's transition from non-navigated to navigated reverse total shoulder arthroplasty (rTSA). Methods: This was a retrospective clinical study that included 166 consecutive rTSA cases performed by a single surgeon, with 84 non-navigated cases immediately followed by 82 navigated rTSA using computer-assisted navigation. Radiographic measurements included pre- and post-operative β-angle (inclination), inferior glenosphere offset, and the distance from the center of rotation of the glenosphere to the tip of the coracoid (COR-C). For all radiographic measurements, intrarater reliability was compared using intraclass correlation coefficients. Statistical comparisons were performed using Results: All radiographic measurements had excellent reliability with intraclass correlation coefficients of >0.799. Inferior offset was significantly greater in the navigated group (7.0 ± 2.5 mm) than in the non-navigated group (5.4 ± 3.1 mm; Conclusion: This retrospective single-surgeon study illustrates that transition to computer-assisted navigation in rTSA may modestly increase operative time while improving implant positioning including inferior glenoid offset. No early postoperative dislocations were observed in the navigated group, though definitive conclusions are limited by short follow-up and limited sample size. This study demonstrates an association between the role of computer-assisted navigation in improving implant accuracy, but further studies are needed to determine its clinical relevance.
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