Cervical Spine Research Society-Cervical Stiffness Disability Index (CSRS-CSDI): Validation of a Novel Scoring System Quantifying the Effect of Postarthrodesis Cervical Stiffness on Patient Quality of Life
Bibliographic record
Abstract
STUDY DESIGN: Cross-sectional study. OBJECTIVE: The aim was to create and validate a novel patient-reported outcome measure (PROM) focusing on stiffness-related patient functional limitations after cervical spine fusion. SUMMARY OF BACKGROUND DATA: Cervical arthrodesis is a common treatment for myelopathy/radiculopathy, however, results in increased neck stiffness as a collateral outcome. No current PROM exists quantifying the impact of postoperative stiffness on patient function. METHODS: The Cervical Spine Research Society-Cervical Stiffness Disability Index (CSRS-CSDI) was created through a modified Delphi process. The resultant 10-item questionnaire yields a score out of 100 with higher scores indicating increased functional difficulty related to neck stiffness. Cross-sectional study of control and postoperative patients was completed for CSRS-CSDI validation. Retest reliability (intraclass correlation coefficient), internal consistency (Cronbach alpha), responsiveness (levels fused vs. CSRS-CSDI scores), and discriminatory validation (CSRS-CSDI vs. neck disability index) scores) were completed. RESULTS: Fifty-seven surgical and 24 control patients completed the questionnaire. Surgical patients underwent a variety of procedures: 11 (19%) motion preserving operations, nine (16%) subaxial 1-2 level fusions, seven (12%) subaxial 3-5 level fusions, five (9%) C1-subaxial cervical spine fusions, 20 (35%) C2-upper thoracic spine fusions, five (9%) occiput-subaxial or thoracic spine fusions. The questionnaire demonstrated high internal consistency (Cronbach alpha=0.92) and retest reliability (intraclass correlation coefficient=0.95, P <0.001). Good responsiveness validity with a significant difference between fusion cohorts was found ( P <0.001, rs =0.63). Patient CSRS-CSDI scores also correlated with neck disability index scores recorded ( P <0.001, r =0.70). CONCLUSION: This is the first study to create a PROM addressing the functional impact of cervical stiffness following surgical arthrodesis. The CSRS-CSDI was a reliable and valid measure of postoperative stiffness impact on patient function. This may prove useful in counseling patients regarding their expected outcomes with further investigation demonstrating its value in a prospective fashion.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".