ArticleJSES open access2018
Version and inclination obtained with 3-dimensional planning in total shoulder arthroplasty: do different programs produce the same results?
Article in JSES open access, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Deep Learning-Based Scapular Morphology Assessment Pipeline for Glenoid Segmentation and Landmark Localization.Journal of imaging informatics in medicine · 2026Article
- Variability in preoperative planning software for shoulder arthroplasty.JSES international · 2026Article
- Evaluation of the Baseplate Position and Screws in Reverse Total Shoulder Arthroplasty Using 3D Printed Patient-Specific Instrumentation.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Advancing Precision in Shoulder Arthroplasty: Patient-Specific Instrumentation, Navigation, and Emerging Technologies.Clinics in orthopedic surgery · 2025Review
- What information does the surgeon need before using software to plan a total shoulder arthroplasty? An international perspective.JSES international · 2025Review
- Navigating the future: A comprehensive review of technology in shoulder arthroplasty.Journal of hand and microsurgery · 2025Review
- The reverse shoulder arthroplasty angle may contribute to overt inferior inclination: comparison with alternative parameters.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Article
- Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments.Scientific reports · 2025Article
- Use of computed tomography for shoulder arthroplasty: A systematic review.Journal of orthopaedics · 2025Article
- Assessment of Inter- and Intrasurgeon Variability in Preoperative Planning of Reverse Shoulder Arthroplasty: A Multicenter Evaluation.Revista brasileira de ortopedia · 2024Article
- Comparison of Manual Two-dimensional and Automated Three-dimensional Methods of Assessing Shoulder Joint Morphology through Computed Tomography Images.Revista brasileira de ortopedia · 2024Article
- Pre-operative planning for reverse shoulder arthroplasty in low-resource centres: A modified Delphi study in South Africa.SICOT-J · 2024Article
- A narrative review of treatment strategies for major glenoid defects during primary reverse shoulder arthroplasty, with a focus on the use of structural bone graft.EFORT open reviews · 2023Review
- Difference analysis of the glenoid centerline between 3D preoperative planning and 3D printed prosthesis manipulation in total shoulder arthroplasty.Archives of orthopaedic and trauma surgery · 2023Article
- Can We Completely Trust in Automated Software for Preoperative Planning of Shoulder Arthroplasty? Software Update May Modify Glenoid Version, Glenoid Inclination and Humeral Head Subluxation Values.Journal of clinical medicine · 2023Article
- Pre-operative arthritic glenoid assessment: 3D automated planning software versus manual multiplanar measurements of version and inclination.Journal of orthopaedics · 2023Article
- Preoperative planning in reverse shoulder arthroplasty: plain radiographsAnnals of joint · 2023Review
- Glenoid Inclination: Choosing the Transverse Axis Is Critical-A 3D Automated versus Manually Measured Study.Journal of clinical medicine · 2022Article
- Anatomical plane and transverse axis of the scapula: Reliability of manual positioning of the anatomical landmarks.Shoulder & elbow · 2022Article
- The addition of preoperative three-dimensional analysis alters implant choice in shoulder arthroplasty.Shoulder & elbow · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur purpose was to compare the output of glenoid measurements with 2 commercially available preoperative 3-dimensional (3D) total shoulder arthroplasty planning systems. The hypothesis was that there would be no difference in product-derived measurements between the systems.
methodsPreoperative 3D computed tomography scans of 63 consecutive patients undergoing primary arthroplasty were analyzed using 2 product-derived techniques: Blueprint and VIP. Glenoid version and inclination measurements with each system were blinded and statistically compared, and the amount of variance was recorded.
resultsGlenoid version based on Blueprint was -10.9° ± 9.0° (range, -41° to 14°) compared with -9.3° ± 8.2° (range, -36° to 8°) for VIP (
conclusionsThere is considerable variability between preoperative measurements obtained for 3D planning of shoulder arthroplasty with the use of Blueprint and VIP. Given that implant choice and desired component positioning are based on preoperative measurements, further study is needed to evaluate the differences between the measurements obtained with different techniques.
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.