scholarly journals The prognostic value of gender in gastric gastrointestinal stromal tumors: a propensity score matching analysis

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianfang Rong ◽  
Sihai Chen ◽  
Conghua Song ◽  
Huan Wang ◽  
Qiaoyun Zhao ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Gastrointestinal Stromal Tumors ◽  
Prognostic Value ◽  
Stromal Tumors ◽  
Propensity Score Matching Analysis

scholarly journals Prognostic value of Onodera’s nutritional index for intermediate- and high-risk gastrointestinal stromal tumors treated with or without tyrosine kinase inhibitors

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Feng Wang ◽  
Tingting Tao ◽  
Heng Yu ◽  
Yingying Xu ◽  
Zhi Yang ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Prognostic Marker ◽  
Gastrointestinal Stromal Tumors ◽  
Prognostic Value ◽  
Kinase Inhibitors ◽  
Rank Test ◽  
Stromal Tumors ◽  
Lymphocyte Ratio ◽  
Nutritional Index

Abstract Background Immunoinflammatory and nutritional markers, such as the peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and Onodera’s prognostic nutritional index (OPNI), have gained considerable attention and have been preliminarily revealed as prognostic markers of gastrointestinal stromal tumors (GISTs). Methods In this study, we first investigated the prognostic value of OPNI in GISTs treated with or without TKIs based on the propensity score matching (PSM) method. All of the patients had received surgical resection for primary GIST, and data from 2010 to 2018 were initially and retrospectively identified from our gastrointestinal center. Recurrence-free survival (RFS) was calculated by the Kaplan–Meier method and compared by the log-rank test. Results The patients were divided into groups treated and not treated with TKIs, and we used the propensity score matching method to homogenize their baseline data. Multivariate Cox proportional hazard regression models were applied to identify associations with outcome variables. A total of 563 GISTs were initially chosen, and 280 of them were included for analysis under the inclusion criteria. After PSM, there were 200 patients included. Multivariate analyses identified OPNI as an independent prognostic marker that was associated with primary site, tumor size, mitotic index, tumor rupture, necrosis, and modified NIH risk classification. Low OPNI (< 42.6; HR 0.409; P < 0.001) was associated with worse RFS. Conclusions Preoperative OPNI is a novel and useful prognostic marker for GISTs both treated and not treated with TKIs. Higher NLR and PLR have negative effects on RFS.

Predictive ability of prognostic nutritional index in surgically resected gastrointestinal stromal tumors: a propensity score matching analysis

2019 ◽  
Vol 49 (9) ◽  
pp. 823-831 ◽  
Author(s):  
Wei-Kun Shi ◽  
Xin-Hua Zhang ◽  
Jian Zhang ◽  
Miao Yu ◽  
Yu-Jie Yuan ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Gastrointestinal Stromal Tumors ◽  
Predictive Ability ◽  
Prognostic Nutritional Index ◽  
Stromal Tumors ◽  
Propensity Score Matching Analysis ◽  
Nutritional Index ◽  
Before And After ◽  
Prognostic Stratification

Prognostic nutritional index was found to be correlated with prognosis in GISTs before and after propensity score matching and its incorporation improved the prognostic stratification of NIH risk criteria.

scholarly journals The prognostic value of gender in gastric gastrointestinal stromal tumors: A propensity score matching analysis.

2020 ◽  
Author(s):  
Jian fang Rong ◽  
Si hai Chen ◽  
Cong hua Song ◽  
Huan Wang ◽  
Qiao yun Zhao ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Gastrointestinal Stromal Tumors ◽  
Gastric Gist ◽  
Confounding Factors ◽  
Cox Regression Analysis ◽  
Stromal Tumors ◽  
Female Patients ◽  
Risk Of Death ◽  
Male Patients

Abstract Background Gastrointestinal stromal tumors (GISTs) of the stomach are the most common GISTs. The risk, incidence and outcome of cancer are different between the sexes. Whether gender is related to the prognosis of gastric stromal tumors is unclear. Therefore, this study aims to explore the relationship between gender and gastric GIST prognosis. Methods Data from gastric GIST patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database. After propensity score matching (PSM) was performed to reduce confounding factors, the clinicopathological features and prognosis of GIST patients were comprehensively evaluated. Results There were 512 male patients and 538 female patients with gastric GIST. The gender of gastric GIST patients was associated with marital status, surgical treatment, tumor size, and mitotic index (P < 0.05). The Kaplan-Meier analysis and log-rank test revealed that male patients had a higher mortality rate than female patients (P = 0.0024). After matching all the potential confounding factors, the survival of the female gastric GIST patients was better than that of the male gastric GIST patients (P = 0.042). Cox regression analysis revealed that gender was an independent risk factor for overall survival. The risk of death was higher for males than for females (HR: 1.539, 95% CI: 1.066–2.222, P = 0.021). Conclusion Gender could be a prognostic factor for gastric GIST survival, and male patients had a higher risk of death.

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