Twelve-Months Follow-up in Forty-Nine Patients With Acute/Semiacute Osteoporotic Vertebral Fractures Treated Conservatively or With Percutaneous Vertebroplasty
Bibliographic record
Abstract
STUDY DESIGN: Clinical randomized study. OBJECTIVE: Percutaneous vertebroplasty is compared to conservative treatment in patients with acute or subacute osteoporotic vertebral fractures with respect to pain, physical and mental outcomes. The risk of vertebral fractures adjacent to treated levels is assessed. SUMMARY OF BACKGROUND DATA: There are some disagreements of the benefits of PVP for the treatment of acute osteoporotic vertebral fractures, but the long-term clinical outcome of PVP compared to conservative treatment has not been evaluated in a randomized study. METHODS: The 3-months follow-up of this study has been published previously, and here we report the completed 12-months analysis. About 50 patients (41 females) were included from January 2001 until January 2008. Patients with vertebral fractures less than 8 weeks old were included and randomized to either PVP or conservative treatment. Pain was assessed with a visual analogue scale. Physical and mental outcomes were assessed by validated questionnaires and tests. Tests, questionnaires, and plain radiographs were performed at the inclusion and after 3 and 12 months. RESULTS: Pain score before and after the operation in the PVP group was 7.9 and 2.0, respectively. There was no difference between the groups concerning pain at the 3- and 12-months follow-up. Supplementary assessment of back pain 1 month after discharge from hospital showed a significant lower VAS score in the PVP group over the conservative group. In the study period, 2 adjacent fractures in the PVP group and no adjacent fractures in the conservative group were registered. CONCLUSION: PVP is a good treatment for some patients with acute/subacute painful osteoporotic vertebral fractures, but the majority of fractures will heal after 8 to 12 weeks of conservative treatment with subsequent decline in pain. The risk of new fractures needs further research.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".