Lumbar spine coronal balance parameters as a predictor of rehabilitation management outcomes in patients with radiculopathy due to lumbar disc herniation: A multicenter prospective case series study
Bibliographic record
Abstract
This prospective consecutive case series was conducted in 5 physiotherapy clinics in the UAE from January 2021-March 2023 to assess coronal lumbar spine radiographic parameters as a predictor of conservative therapy outcomes in patients suffering from low back and leg pain due to lumbar herniated nucleus pulposus (HNP). Ninety patients (mean age 44 yrs., 54 % male) with lumbar HNP underwent conservative therapy. All participants received lumbar spine MRI and radiography to assess spine alignment. Interventions included specific exercises, diathermy, traction, education, a home-based exercise program, and medications. Detailed demographic data was collected. Follow-up was 6-months after discharge. A successful outcome was based on a minimum of the following four outcomes: (1) reduction of radicular or leg pain by 17.5 points (0-100 NRS); (2) fatigue reduction by 7.5 points; (3) distress reduction by 5 points; and (4) interference reduction by 9.5 points. At 6-month follow-up, it was found that patient age, education, and radiographic lumbosacral angle measures significantly affected the odds of a successful outcome. Increasing age by 1-year significantly decreased the odds of success of improving pain (OR = 0.85, p = 0.016), fatigue (OR = 0.85, p = 0.016) and interference scores (OR = 0.89, p = 0.042) by 15 %, 15 % and 11 %, respectively. Lower education significantly increased the odds of success for improving pain, fatigue, and interference by 26.18, 26.18, and 7.5 (p = 0.006, = 0.006, and = 0.029, respectively). Increasing (worsening) the radiographic lumbosacral angle by each degree significantly reduced the odds of success for improving pain, fatigue, distress, and interference by 3.52, 3.52, 27.99 and 2.55, respectively (p < 0.001, <0.001, = 0.003, = 0.001). Our findings indicate that younger age, less education, and better coronal radiological lumbar spine alignment all had a substantial impact on the likelihood of success on 6-month outcomes in patients suffering from chronic lower back pain and radiculopathy due to HNP.
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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 | 0.000 | 0.000 |
| 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".