Development of Validated Computer-based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK With 86% Accuracy Based on 510 ASD Patients With 2-year Follow-up

Scheer Justin K.; Osorio Joseph A.; Smith Justin S.; Schwab Frank; Lafage Virginie; Hart Robert A.; Bess Shay; Line Breton; Diebo Bassel G.; Protopsaltis Themistocles S.; Jain Amit; Ailon Tamir; Burton Douglas C.; Shaffrey Christopher I.; Klineberg Eric; Ames Christopher P.

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Development of Validated Computer-based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK With 86% Accuracy Based on 510 ASD Patients With 2-year Follow-up

机译：基于510名ASD患者并进行了为期2年的随访，开发了经过验证的基于计算机的术前预测的近端关节衰竭（PJF）或具有临床意义的PJK（准确度达86％）的预测模型

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Study Design. A retrospective review of large, multicenter adult spinal deformity (ASD) database.

机译：学习规划。大型，多中心成人脊柱畸形（ASD）数据库的回顾性审查。

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《Spine》 |2016年第22期|共8页
作者
Scheer Justin K.; Osorio Joseph A.; Smith Justin S.; Schwab Frank; Lafage Virginie; Hart Robert A.; Bess Shay; Line Breton; Diebo Bassel G.; Protopsaltis Themistocles S.; Jain Amit; Ailon Tamir; Burton Douglas C.; Shaffrey Christopher I.; Klineberg Eric; Ames Christopher P.;
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正文语种 eng
中图分类骨科学（运动系疾病、矫形外科学）;
关键词
adult spinal deformity; predictive modeling; proximal junctional failure; proximal junctional kyphosis; sagittal malalignment; scoliosis;

机译：成人脊柱畸形;预测模型;近端连接衰竭;近端连接后凸畸形;矢状面畸形;脊柱侧弯;

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1. Development of Validated Computer-based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK With 86% Accuracy Based on 510 ASD Patients With 2-year Follow-up [J] . Scheer Justin K., Osorio Joseph A., Smith Justin S., Spine . 2016,第22期

机译：基于510名ASD患者并进行了为期2年的随访，开发了经过验证的基于计算机的术前预测的近端关节衰竭（PJF）或具有临床意义的PJK（准确度达86％）的预测模型
2. Comparison of the incidence and risk factors for proximal junctional failure (PJF) in surgically treated patients with adult spinal deformity (ASD) between patients from Japan and the United States: series of 509 patients with 2-year follow-up [J] . Mitsuru Yagi, Christopher P. Ames, Naobumi Hosogane, The spine journal: official journal of the North American Spine Society . 2018,第8期

机译：在日本和美国患者患者患者患者近端接线失效（PJF）发生率和危险因素的比较：509例患者2年的2年后续随访
3. Development of Validated Computer Based Preoperative Predictive Model for PJF or Clinically Significant PJK [J] . Ames Christopher Pearson, Scheer Justin, Smith Justin, Journal of neurosurgery. . 2016,第4期

机译：经验证的基于计算机的PJF或具有临床意义的PJK术前预测模型的开发
4. Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice [C] . Stefanie Jauk, Diether Kramer, Günther Stark, MEDINFO . 2019

机译：开发机器学习模型，预测选修外科患者ICU入院及临床实践中的前瞻性验证
5. Development and validation of a novel competing risk model for predicting survival of esophagogastric junction adenocarcinoma: a SEER population-based study and external validation [O] . Tongbo Wang, Yan Wu, Hong Zhou, 2021

机译：一种新型竞争风险模型的开发与验证预测食管古代交界腺癌腺癌存活：基于SER群体的研究和外部验证
6. Development of Validated Computer-Based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK with 86 Accuracy based on 510 ASD Patients with 2-year Follow-up [O] . Justin Scheer, Justin Smith, Frank Schwab, 2016

机译：基于近端结故障（PJF）的验证计算机术前预测模型的开发或基于510 ASD患者的临床显着的PJK，基于510岁的ASD患者进行了2年的随访

Development of Validated Computer-based Preoperative Predictive Model for Proximal Junction Failure (PJF) or Clinically Significant PJK With 86% Accuracy Based on 510 ASD Patients With 2-year Follow-up

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