Clinical efficacy of PVP and PKP in the treatment of OVCFs after bilateral resection of ovarian cancer
Bibliographic record
Abstract
The clinical efficacy of percutaneous vertebroplasty (PVP) and percutaneous kyphoplasty (PKP) in the treatment of osteoporotic vertebral compression fractures after bilateral resection of ovarian cancer was investigated. Eighty-six patients with osteoporotic vertebral compression fractures after bilateral resection of ovarian cancer admitted to the Second People's Hospital of Hefei from September, 2015 to August, 2016 were selected and randomly divided into control group (n=43) and observation group (n=43). The control group was treated with PVP, while the observation group received PKP. The operation time, fluoroscopy times, bone cement volume and leakage rate of patients in the two groups were recorded; the postoperative pain of patients was compared using Short-form McGill Pain Questionnaire; the changes in height of injured vertebra and Cobb angle of patients in two groups were compared; the efficacy of patients in the two groups was compared in accordance with Oswestry dysfunction index (ODI) and Japanese Orthopedic Association (JOA) low back pain scoring; and the quality of life was compared. The fluoroscopy times and bone cement leakage were significantly less in observation group than those in control group (P<0.05). After operation, the scores of ODI, MPQ and JOA in the two groups were significantly improved (P<0.05). The postoperative height of injured vertebra and the Cobb angle of patients in two groups were significantly different than those before the operation (P<0.05). The quality of life of patients in the observation group was higher than that in the control group one year after operation (P<0.05). In conclusion, PKP and PVP are effective in the treatment of osteoporotic vertebral compression fractures after bilateral resection of ovarian cancer; however, PKP is more conducive to lumbar stability and maintenance of intervertebral height thus greatly correcting the kyphosis, which is beneficial to improving the quality of life 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".