Variability of Intradiscal Pressure During Cervical Spine Posterior-Anterior Mobilization: A Cadaveric Investigation
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to investigate in cadaveric specimens the reliability of measuring cervical intradiscal pressure (CIDP) and if posterior-anterior (PA) mobilizations targeting the cervical spine were associated with CIDP changes. METHODS: Cervical PA mobilizations were performed on the spinous processes of 7 (3 men, 4 women) cadaveric specimens using a servo-controlled linear actuator to provide 25N and 45N forces. CIDP measurements were performed at C4-5, C5-6, C6-7, and C7-T1 intervertebral discs (IVDs) using a fiberoptic catheter system that recorded CIDP for each IVD cervical segment. To assess CIDP measurement reliability, the intraclass correlation coefficient (ICC [3,k]) was calculated. Repeated measures Friedman analysis of variance assessed effect of cervical mobilizations on CIDP for before, during, and immediately after mobilization at 25N and 45N forces for each cervical IVD segment. RESULTS: All CIDP measurements demonstrated excellent reliability (ICC >0.98). During the 25N mobilizations, the median CIDP varied from -0.12 to 0.91 (interquartile range, 5.22-5.36), while for 45N mobilizations the median ranged from -0.94 to 1.21 (interquartile range, -7.74 to 43.49). These changes were not statistically significant (P > .40) during 25N and 45N PA mobilizations, with the exception of C5-6 CIDP at 25N and 45N (P = .05 and .018, respectively). CONCLUSION: There was high CIDP variability between cadavers during and after mobilization. Mobilizations of 1 cervical vertebra resulted in both CIDP increase or decrease at adjacent and remote cervical IVD segments that were not consistent. Cervical PA mobilizations produced variable CIDP changes at adjacent and remote cervical segments in cadavers.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".