ArticleJSES international2025
Continental and demographic analysis of preoperative measurements in shoulder arthroplasty from a large-scale dataset using Materialise software for surgical planning.
Article in JSES international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Preoperative planning software is increasingly used in shoulder arthroplasty to optimize implant placement. This study aims to describe the methods used in Materialise's planning software for critical measurement parameters to provide a benchmark for cases planned using Materialise software, and to analyze the demographics and characteristics of patients undergoing reverse shoulder arthroplasty (rTSA) and anatomic total shoulder arthroplasty (aTSA) across different continents and sexes. Methods: A dataset of 11,509 surgeon-approved planning cases (2018-2023) from the TRUMATCH Personalized Solutions Shoulder System was analyzed. The software automatically generates three-dimensional models from computed tomography scans and measures glenoid version, inclination, humeral subluxation, glenoid vault loss, and maximum erosion depth. A univariate statistical analysis, including Mann-Whitney U test and Kruskal-Wallis H test with Bonferroni correction, was conducted to evaluate differences across surgery types (rTSA vs. aTSA), sex, and continents (North America, Europe, Oceania). Results: The population had an average age of 69.9 years, with 65.7% undergoing rTSA and 34.3% undergoing aTSA. Significant differences were observed between rTSA and aTSA patients in terms of age, version angle, inclination angle, erosion depth, and humeral head diameter. Females accounted for 53.1% of the dataset and were generally older, with less retroversion and subluxation compared to males. Regionally, 61% of procedures were performed in North America, 25% in Europe, and 14% in Oceania. rTSA was more common than aTSA across all continents, with the highest proportion found in Europe (86%). Significant continental differences were noted in age, version angle, subluxation, and humeral head diameter. Conclusion: This study provides a comprehensive methodology for preoperative measurements using Materialise software and highlights significant demographic and continental differences in shoulder arthroplasty parameters. These findings underscore the need for standardized measurement methods and suggest that continental and sex-specific factors influence the choice between rTSA and aTSA. Future research should focus on correlating surgical plans with outcomes to optimize treatment strategies tailored to individual patient needs.
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.