Non-surgical reduction in thoracolumbar kyphosis and sagittal vertical axis corresponding with improved sensorimotor control in an older adult with spinal deformity: a Chiropractic Biophysics<sup>®</sup> case report
Bibliographic record
Abstract
) technique methods. [Participant and Methods] A 78-year-old male presented with 20 years of chronic hip and lower back pain and stiffness. The pain was 5/10 and disability was 38%. The patient also complained of walking difficulty and balance problems. Radiographic assessment demonstrated a significant thoracolumbar kyphosis and anterior C7-S1 sagittal vertical axis (SVA). Force plate posturography showed high centre of pressure (COP) parameter values including the total path length, particularly for the vestibular condition of the modified clinical test of sensory integration and balance (mCTSIB). [Results] The patient was treated with 36 sessions of CBP corrective exercises and spinal traction as well as PowerPlate balance and gait exercises. Assessment after 4-months showed improvements in sleep, pain, disability, and mobility. There was a 79 mm reduction in SVA and improved postural control in many parameters including a 49 cm and 22 cm reduction in COP total path length for the vestibular and visual trials on the mCTSIB, respectively. The pain and disability were reduced to 0/10 and 22%. [Conclusion] This case demonstrates the significant improvement in postural control as quantified by the mCTSIB with the reduction of excessive SVA as demonstrated on post-treatment x-rays.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".