Clinical Analysis of Interventional Treatment of Intervertebral Space Infection
Bibliographic record
Abstract
Objective To explore the curative effect of interventional methods in the treatment of intervertebral space infection. Methods 17 cases with intervertebral space infection were admitted from March 2001 to March 2011. 13 cases received interventional treatment. The McGill language evaluation was used to quantitatively and dynamicly evaluate the changes of the patients' pain. The X-ray, CT, MRI, blood count, erythrocyte sedimentation rate and C-reactive protein were regularly reviewed. Results Interventional surgical treatment of patients in the postoperative 1 to 3 d low back pain eased significantly. After 3 to 5 weeks, symptoms disappeared, erythrocyte sedimentation rate dropped to less than 20 mm/L, C-reactive protein returned to normal. McGill score in 1 to 3 days after treatment began to decline. Conclusions Interventional treatment of early and mid unforming large abscess intervertebral space infection has less trauma, low cost, quick recovery, curative effect, and simple operation, which is a method between conservative treatment and surgical treatment for patients to choose with a high degree of patient acceptance, aiming at speedy recovery of patients.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".