ReviewJB & JS open access
Femoral Stem Version in Primary Hip Arthroplasty: Challenges and Advances in 3D Planning.
Review in JB & JS open access. 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
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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.
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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
» Native femoral version (NFV) demonstrates inconsistent correlation with prosthetic femoral version (PFV) and should not be relied upon in isolation for femoral version planning in cementless total hip arthroplasty (THA). » Final stem version is strongly influenced by intramedullary canal morphology, fixation mechanics, and stem design philosophy. Straight, tapered wedge, and diaphyseal-engaging stems demonstrate greater variability in PFV, whereas anatomic and calcar-guided short stems may better preserve NFV. » Current planning methods inadequately characterise three-dimensional canal anatomy and fail to simulate canal-stem interaction, limiting accurate prediction of PFV. » Intraoperative estimation methods remain inconsistent and highly dependent on surgeon experience. Robotic-assisted THA enables real-time PFV measurements and supports femur-first strategies to optimise combined anteversion, although current systems still rely on computed tomography templating without true canal-stem interaction modelling. » Reliable PFV prediction will likely require next-generation planning platforms integrating internal canal anatomy, statistical shape modelling and artificial intelligence-driven modelling into planning workflows.
Identifiers
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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.