Literature DB >> 28784566

Preoperative evaluation of renal cell carcinoma patients with bone metastases on risks for blood loss, performance status and lethal event.

Akira Yoshiyama1, Takeshi Morii2, Michiro Susa3, Hideo Morioka4, Eisuke Kobayashi5, Naofumi Asano5, Tomoaki Mori5, Ukei Anazawa6, Itsuo Watanabe6, Katsuhito Takeuchi7, Yu Kushima7, Takayuki Aoyagi1, Shoichi Ichimura1.   

Abstract

BACKGROUND: Surgical treatment for renal cell carcinoma metastases can be an effective modality for improving survival and patients' quality of life. However, it is often difficult to decide on the optimal surgical approach due to the lesion's high vascularity and uncertainty regarding postoperative performance status and survival. PATIENTS AND METHODS: Blood loss, postoperative performance status, overall survival, postoperative complication and related risk factors for surgical treatment were analysed in 61 renal cell carcinoma patients with bone metastases.
RESULTS: Pelvic location and impending/pathological fracture in the metastatic lesion were both significant risk factors for increased blood loss. An unresectable primary lesion and poor preoperative performance status were independent risk factors for poor postoperative performance status. A shorter duration from the discovery of primary lesion to bone metastasis, the number of metastases, and unresectable primary lesion were independent risk factors for shorter survival. Postoperative complications were identified in 15 cases (24.6%).
CONCLUSION: The preoperative prediction of intraoperative blood loss, performance status and survival in renal cell carcinoma patients with bone metastases may be possible based on the risk factors identified in this study.
Copyright © 2017 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.

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Year:  2017        PMID: 28784566     DOI: 10.1016/j.jos.2017.07.006

Source DB:  PubMed          Journal:  J Orthop Sci        ISSN: 0949-2658            Impact factor:   1.601


  3 in total

1.  Incidence of bone metastasis and factors contributing to its development and prognosis in newly diagnosed renal cell carcinoma: a population-based study.

Authors:  Qi Guo; Chao Zhang; Xu Guo; Fang Tao; Yao Xu; Guowei Feng; Xiuxin Han; Zhiwu Ren; Hui Zhang; Pingfang Zhang; Xin Wang; Guowen Wang
Journal:  Cancer Manag Res       Date:  2018-08-28       Impact factor: 3.989

2.  A web-based prediction model for overall survival of elderly patients with early renal cell carcinoma: a population-based study.

Authors:  Jinkui Wang; Jie Tang; Tiaoyao Chen; Song Yue; Wanting Fu; Zulong Xie; Xiaozhu Liu
Journal:  J Transl Med       Date:  2022-02-14       Impact factor: 5.531

3.  Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients.

Authors:  Chan Xu; Wencai Liu; Chengliang Yin; Wanying Li; Jingjing Liu; Wanli Sheng; Haotong Tang; Wenle Li; Qingqing Zhang
Journal:  Comput Math Methods Med       Date:  2022-10-03       Impact factor: 2.809

  3 in total

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