T1 Pelvic Angle
Bibliographic record
Abstract
STUDY DESIGN: A retrospective radiographical study. OBJECTIVE: To compare the prediction abilities of T1 pelvic angle (TPA) and other parameters for postoperative sagittal balance, and investigate the relationships between these parameters and health-related quality of life. SUMMARY OF BACKGROUND DATA: Using sagittal vertical axis (SVA) to assess sagittal alignment fails to take account of the pelvic compensation. A new parameter, TPA, has been recommended to represent the global sagittal balance of adult scoliosis. METHODS: A retrospective review was performed on patients with adult scoliosis undergoing correction surgery from May 2009 to March 2013. The Spearman ρ was used to determine the correlations between the radiographical parameters (preoperative, postoperative, and changes) and the overall Oswestry Disability Index (ODI), visual analogue scale (VAS), and Scoliosis Research Society-22 (SRS-22) questionnaire scores. RESULTS: Significant correlations were found between the changes of TPA and the changes of lumbar lordosis, pelvic tilt, sacral slope, pelvic incidence, SVA, spinosacral angle, ODI, VAS, SRS-22, and pedicle subtraction osteotomy (PSO) degrees (P < 0.05). The changes of SVA were significantly related to the changes of lumbar lordosis, TPA, C7-sacrofemoral distance, ODI, VAS, SRS-22 (P < 0.05) but not PSO degrees (P > 0.05). Significant correlations were found between the changes of spinosacral angle and the changes of thoracolumbar kyphosis, TPA, ODI, VAS, SRS-22, and PSO degrees (P < 0.05). The changes of C7 plumb line to sacrofemoral distance ratio were significantly related to the changes of SVA (P < 0.05), but not the changes of ODI, VAS, SRS-22, or PSO degrees (P > 0.05). CONCLUSION: TPA could better reflect the postoperative changes of sagittal alignment and health-related quality of life for patients with adult scoliosis. Moreover, the changes of TPA are strongly correlated to the osteotomy degrees for PSO and, TPA could be used as a reference parameter in surgical planning. LEVEL OF EVIDENCE: 4.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".