The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer.
The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer.
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初次减瘤手术 (PPSP) 的预后预测评分可提高预测卵巢癌预后的诊断效能。
DOI：
10.1038/s41598-022-27333-1
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发表时间：
2022-12-31
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
近年来，治疗前的炎症反应已被证明可以预测预后，但尚无分析术前和术后治疗联合炎症反应的报道。当前的研究旨在提取预测复发的因素并创建新的预测评分。这项回顾性研究于 2006 年 11 月至 2020 年 12 月在我们的机构进行，随访至 2022 年 9 月。从接受初次减瘤手术的女性中收集人口统计学和临床病理学数据。我们针对无进展生存期 (PFS) 围绕初次减瘤手术 (PPSP) 创建了名为预后预测评分的评分系统。进行单变量和多变量分析以评估其预测 PFS 和总生存期 (OS) 的功效。 Cox回归分析用于评估其时间依赖性功效。 Kaplan-Meier 和对数秩检验用于比较生存率。目前的研究总共包括 235 名患者。评分系统的截止值为六。多变量分析显示，国际妇产科联合会 (FIGO) 分期先进（PFS 为 p < 0.001；OS 为 p = 0.038）、白细胞计数差值降低（PFS 为 p = 0.026）和高 PPSP（PFS 为 p = 0.004；PFS 为 p = 0.004）。 OS 的 p = 0.002）是独立的预后因素。 Cox回归分析也支持了上述结果。与FIGO分期相比，PPSP不仅在预测卵巢癌患者的PFS方面而且在预测OS方面都显示出良好的预后功效。
In recent years, the pretreatment inflammatory responses have proven to predict the prognosis, but no report exists analyzing the combined inflammatory response of the pre- and postsurgical treatment. The current study aims to extract the factors predicting the recurrence and create novel predictive scoring. This retrospective study was conducted at our institution between November 2006 and December 2020, with follow-up until September 2022. Demographic and clinicopathological data were collected from women who underwent primary debulking surgery. We created the scoring system named the prognosis predictive score around primary debulking surgery(PPSP) for progression-free survival(PFS). Univariate and multivariate analyses were performed to assess its efficacy in predicting PFS and overall survival(OS). Cox regression analyses were used to assess its time-dependent efficacy. Kaplan–Meier and the log-rank test were used to compare the survival rate. A total of 235 patients were included in the current study. The cut-off value of the scoring system was six. Multivariate analyses revealed that an advanced International Federation of Gynecology and Obstetrics(FIGO) stage (p < 0.001 for PFS; p = 0.038 for OS), the decreased white blood cell count difference (p = 0.026 for PFS) and the high-PPSP (p = 0.004 for PFS; p = 0.002 for OS) were the independent prognostic factors. Cox regression analysis also supported the above results. The PPSP showed good prognostic efficacy not only in predicting the PFS but also OS of ovarian cancer patients comparable to FIGO staging.
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影响因子：
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作者：
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