five

PATIENTS WITH SPINAL METASTASIS SUBMITTED TO NEUROLOGICAL DECOMPRESSION AND STABILIZATION

收藏
DataCite Commons2022-06-07 更新2024-07-29 收录
下载链接:
https://scielo.figshare.com/articles/dataset/PATIENTS_WITH_SPINAL_METASTASIS_SUBMITTED_TO_NEUROLOGICAL_DECOMPRESSION_AND_STABILIZATION/20013961/1
下载链接
链接失效反馈
官方服务:
资源简介:
ABSTRACT Objective: To analyze retrospectively the surgical outcomes of a group of patients with bone metastases and multiple myeloma in the spine, which underwent neurological decompression and arthrodesis using pedicle screws, by isolated posterior approach, to check whether the operated patients present clinical improvement regarding the pain and neurological deficit compared to the preoperative period. Methods: This is a retrospective, cross-sectional study of case series, that analyzed data from medical records of patients with bone metastases in the spine who underwent surgical treatment between January 2007 and February 2011. Results: Of the 42 patients in the sample, according to the Kolmogorov-Smirnov test (p=0.000) there was improvement in pain with respect to the preoperative, with 33 patients (78.6%) reporting improvement and only 9 (21.4%) maintaining the initial pain complaints. Of the 25 patients available for evaluation of neurological improvement (≠ Frankel E) 9 patients (36%) had some kind of improvement postoperatively, and no operated patient presented neurological worsening, indicating statistical significance according to the Kolmogorov-Smirnov test (p = 0.000). It was also observed statistical correlation (p=0.042) between Frankel functional score postoperatively and pain relief, using the chi-square test. Conclusions: Surgical treatment for patients with spinal metastasis through arthrodesis with pedicle instrumentation and decompression may have significant clinical benefits, especially as regards the improvement in pain symptoms and improved neurological function.
提供机构:
SciELO journals
创建时间:
2022-06-07
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作