ArticleOrthopaedic surgery2026
Temporal Evolution and Stationary Point Mechanisms of Pelvic Characteristic Angles Throughout the Sit-to-Stand Cycle.
Article in Orthopaedic surgery, 2026. 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
6 authors.
Funding
Abstract
objectivesProsthetic impingement and dislocation remain prevalent complications following total hip arthroplasty (THA). The "safe zone" concept guiding acetabular component placement is predicated on static body positions, while neglecting the kinematic changes in pelvic angles throughout the stand-to-sit (STS) transition cycle. This static-centric approach constitutes a primary contributing factor to THA-related complications. Consequently, investigating the kinematic regularity of pelvic motion across the entire STS cycle is of particular significance for optimizing surgical strategies and improving postoperative outcomes.
methodsDynamic pelvic angles are analyzed in 10 healthy individuals performing STS using optical motion capture combined with biodynamics simulations. The skeletal model is scaled to each subject, and inverse kinematics is used to compute motion trajectories, from which the time-varying characteristics of sacral slope (SS), pelvic incidence (PI), and pelvic tilt (PT) angles are extracted.
resultsThe skeletal model of the STS movement cycle is simulated, revealing the nonlinear variations in pelvic characteristic angles. Notably, the variation curves of SS and PT angles both exhibit distinct stationary points during the critical phase of the movement cycle, with the two parameters showing opposite changing trends. Specifically, PT angle decreases sharply to a trough within the 44.48%-53.19% interval of the movement cycle and then gradually rebounds from this stationary point. In contrast, SS angle increases first and then decreases, with its stationary point highly coinciding with that of PT. At the trough stationary point of PT or SS, body center of gravity (COG) trajectory exhibits a strong correlation with PT or SS kinematics and synchronous transitions in displacement velocity and direction, highlighting the crucial role of pelvic posture adjustment in body COG regulation.
conclusionsA biomechanical framework for investigating the kinematic characteristics of pelvic angles during the STS task is proposed. In healthy individuals, the kinematic patterns of pelvic motion during STS demonstrate prominent nonlinear characteristics, accompanied by distinct stationary points in the pelvic characteristic angles around the mid-STS phase. The current acetabular safe zone is insufficient to account for dynamic variations in pelvic orientation, and the identified critical stationary points of pelvic angles during the mid-STS phase may provide theoretical support for preoperative planning and postoperative rehabilitation in patients undergoing THA.
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.