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Updates in the management of brain metastases.脑转移瘤治疗的进展
Neuro Oncol. 2016 Aug;18(8):1043-65. doi: 10.1093/neuonc/now127.
2
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3
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.透明报告个体预后或诊断的多变量预测模型(TRIPOD):TRIPOD 声明。
Ann Intern Med. 2015 Jan 6;162(1):55-63. doi: 10.7326/M14-0697.
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A laboratory prognostic index model for patients with advanced non-small cell lung cancer.晚期非小细胞肺癌患者的实验室预后指数模型
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Summary report on the graded prognostic assessment: an accurate and facile diagnosis-specific tool to estimate survival for patients with brain metastases.分级预后评估总结报告:一种准确且简便的诊断特异性工具,可用于评估脑转移患者的生存情况。
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On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.基于删失生存数据评估风险预测方法整体充分性的 C 统计量。
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Management of cerebral metastasis: evidence-based approach for surgery, stereotactic radiosurgery and radiotherapy.脑转移瘤的治疗:手术、立体定向放射外科和放射治疗的循证方法。
Eur J Cancer. 2011 Mar;47(5):649-55. doi: 10.1016/j.ejca.2010.11.033. Epub 2010 Dec 31.
10
Long-term survival is linked to serum LDH and partly to tumour LDH-5 in NSCLC.在非小细胞肺癌中,长期生存与血清 LDH 有关,部分与肿瘤 LDH-5 有关。
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结合标准临床血液值以提高新诊断脑转移患者的生存预测:LabBM 评分的建立和验证。

Combining standard clinical blood values for improving survival prediction in patients with newly diagnosed brain metastases-development and validation of the LabBM score.

机构信息

Department of Medicine I, Medical University of Vienna, Vienna, Austria; Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria; Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland; Biostatistics Division, German Cancer Research Center, Heidelberg, Germany; Department of Neurosurgery, Medical University of Vienna, Vienna, Austria; Department of Radiotherapy, Medical University of Vienna, Vienna, Austria; Department of Pathology, Medical University of Vienna, Vienna, Austria.

出版信息

Neuro Oncol. 2017 Sep 1;19(9):1255-1262. doi: 10.1093/neuonc/now290.

DOI:10.1093/neuonc/now290
PMID:28096493
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5570252/
Abstract

BACKGROUND

We aimed to investigate the potential of standard hematologic and serum biochemical parameters to provide an independent and substantial contribution to the prediction of survival in patients with newly diagnosed brain metastases (BM).

METHODS

Hemoglobin, white blood cell count, platelet count, serum albumin, creatinine, lactate dehydrogenase (LDH), and C-reactive protein (CRP) were assessed at diagnosis of BM in a discovery cohort of 1200 cancer patients. A multivariable Cox regression model was used to derive the LabBM score. The LabBM score was externally validated in an independent cohort consisting of 366 patients.

RESULTS

Hemoglobin below lower limit of normal (<LLN; hazard ratio [HR] 1.28; P = .001), platelet count <LLN (HR: 1.36; P = .013), albumin <LLN (HR: 1.19; P = .038), LDH above upper limit of normal (>ULN; HR: 1.51; P < .001), and CRP >ULN (HR: 1.52; P < .001) were associated with survival in a multivariable Cox regression model and were included in the calculation of the LabBM score. Multivariable analysis including the LabBM score and graded prognostic assessment class revealed an independent and significant association of the LabBM score with overall survival (OS) (HR: 1.42; 95% CI: 1.29-1.57; P < .001). The strong and independent association of LabBM score (HR: 1.93; 95% CI: 1.54-2.42) with OS prognosis was confirmed in the validation cohort.

CONCLUSION

Standard clinical blood parameters, combined in the easy-to-calculate LabBM score, provide strong and independent prognostic information in patients with BM. The LabBM score is an objective, inexpensive, and reproducible tool to plan clinical management strategies in BM patients and to improve patient selection and stratification for clinical trials.

摘要

背景

我们旨在研究标准血液学和血清生化参数是否有可能对新诊断为脑转移瘤(BM)患者的生存预测提供独立且重要的贡献。

方法

在一个由 1200 名癌症患者组成的发现队列中,在诊断 BM 时评估血红蛋白、白细胞计数、血小板计数、血清白蛋白、肌酐、乳酸脱氢酶(LDH)和 C 反应蛋白(CRP)。使用多变量 Cox 回归模型得出 LabBM 评分。LabBM 评分在由 366 名患者组成的独立队列中进行外部验证。

结果

血红蛋白低于正常值下限(<LLN;危险比 [HR] 1.28;P =.001)、血小板计数 <LLN(HR:1.36;P =.013)、白蛋白 <LLN(HR:1.19;P =.038)、LDH 高于正常值上限(>ULN;HR:1.51;P <.001)和 CRP >ULN(HR:1.52;P <.001)与多变量 Cox 回归模型中的生存相关,并包含在 LabBM 评分的计算中。包括 LabBM 评分和分级预后评估(GPA)的多变量分析显示,LabBM 评分与总生存(OS)有独立且显著的关联(HR:1.42;95%CI:1.29-1.57;P <.001)。LabBM 评分(HR:1.93;95%CI:1.54-2.42)与 OS 预后的强独立关联在验证队列中得到了证实。

结论

标准临床血液参数,结合易于计算的 LabBM 评分,为 BM 患者提供了强有力的独立预后信息。LabBM 评分是一种客观、廉价且可重复的工具,可用于制定 BM 患者的临床管理策略,并改善患者选择和分层以进行临床试验。