Static posturography analysis for postural instability in patients with Parkinson’s disease
Bibliographic record
Abstract
Background Parkinson’s disease (PD) is initially characterized by a rigid-akinetic syndrome and later by the development of postural instability. This condition often leads to balance impairments, potentially resulting in postural deformities and foot asymmetry. This study aimed to assess balance changes in PD patients.Methods We evaluated 56 PD patients and 30 controls using static posturography. The variables examined included foot type, the primary region of body weight distribution on the plantar surface, statokinesigram (center of pressure [COP]), and stabilogram (COP in the X- and Y-axes).Results PD patients exhibited a high prevalence of pes cavus (92.8%) (p < 0.001) and greater weight distribution toward the hindfoot. In all assessments, COP sway areas were significantly larger in PD patients (p < 0.001). The total COP area increased in the non-fall group during the foot parallel assessment and in the X-axis in the fall group with eyes open (p = 0.046) and closed (p = 0.023). Significant correlations between body weight discharge on the plantar area and COP sway were observed, particularly in the non-postural instability group in the COP X-axis with feet parallel and eyes open on the more rigid limb and in the postural instability group in the Y-axis with feet parallel and eyes open on the more rigid limb and with eyes closed bilaterally.Conclusion Progressive rigidity may disrupt compensatory mechanisms, altering foot morphology, shifting body weight discharge posteriorly, and increasing COP sway. This cascade of events results in impaired balance and an elevated risk of falls.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".