Gousias Konstantinos, Schramm Johannes, Simon Matthias
Department of Neurosurgery, University Hospital of Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany,
Acta Neurochir (Wien). 2014 Feb;156(2):327-37. doi: 10.1007/s00701-013-1945-0. Epub 2013 Nov 22.
Any correlation between the extent of resection and the prognosis of patients with supratentorial infiltrative low-grade gliomas may well be related to biased treatment allocation. Patients with an intrinsically better prognosis may undergo more aggressive resections, and better survival may then be falsely attributed to the surgery rather than the biology of the disease. The present study investigates the potential impact of this type of treatment bias on survival in a series of patients with low-grade gliomas treated at the authors' institution.
We conducted a retrospective study of 148 patients with low-grade gliomas undergoing primary treatment at our institution from 1996-2011. Potential prognostic factors were studied in order to identify treatment bias and to adjust survival analyses accordingly.
Eloquence of tumor location proved the most powerful predictor of the extent of resection, i.e., the principal source of treatment bias. Univariate as well as multivariate Cox regression analyses identified the extent of resection and the presence of a preoperative neurodeficit as the most important predictors of overall survival, tumor recurrence and malignant progression. After stratification for eloquence of tumor location in order to correct for treatment bias, Kaplan-Meier estimates showed a consistent association between the degree of resection and improved survival.
Treatment bias was not responsible for the correlation between extent of resection and survival observed in the present series. Our data seem to provide further support for a strategy of maximum safe resections for low-grade gliomas.
幕上浸润性低级别胶质瘤患者的切除范围与预后之间的任何相关性很可能与治疗分配偏差有关。预后本质上较好的患者可能会接受更积极的切除,然后较好的生存期可能会被错误地归因于手术而非疾病的生物学特性。本研究调查了这种治疗偏差对作者所在机构治疗的一系列低级别胶质瘤患者生存的潜在影响。
我们对1996年至2011年在本机构接受初次治疗的148例低级别胶质瘤患者进行了一项回顾性研究。研究了潜在的预后因素,以识别治疗偏差并相应地调整生存分析。
肿瘤位置的功能区情况被证明是切除范围最有力的预测因素,即治疗偏差的主要来源。单因素以及多因素Cox回归分析确定切除范围和术前神经功能缺损的存在是总生存、肿瘤复发和恶性进展的最重要预测因素。在根据肿瘤位置的功能区情况进行分层以校正治疗偏差后,Kaplan-Meier估计显示切除程度与生存期改善之间存在一致的关联。
治疗偏差并非本系列中观察到的切除范围与生存之间相关性的原因。我们的数据似乎为低级别胶质瘤最大安全切除策略提供了进一步支持。