scholarly journals Prognostic value of inflammation-based prognostic index in patients with nasopharyngeal carcinoma: a propensity score matching study

2018 ◽  
Vol Volume 10 ◽  
pp. 2785-2797 ◽  
Author(s):  
Ronald Wihal Oei ◽  
Lulu Ye ◽  
Fangfang Kong ◽  
Chengrun Du ◽  
Ruiping Zhai ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Prognostic Value ◽  
Prognostic Index

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.

scholarly journals Role of Removed Lymph Nodes on the Prognosis of M0 Small-Bowel Neuroendocrine Tumors: a Propensity Score Matching Analysis from SEER Database

2021 ◽  
Author(s):  
Jie-bin Xie ◽  
Yue-shan Pang ◽  
Xun Li ◽  
Xiao-ting Wu
Keyword(s):  
Small Bowel ◽  
Propensity Score ◽  
Lymph Nodes ◽  
Propensity Score Matching ◽  
Neuroendocrine Tumors ◽  
Prognostic Value ◽  
Radical Resection ◽  
Clinicopathological Characteristics ◽  
Seer Database ◽  
Resection Group

Abstract Background Current studies on the number of removed lymph nodes (LNs) and their prognostic value in small-bowel neuroendocrine tumors (SBNETs) are limited. This study aimed to clarify the prognostic value of removed LNs for SBNETs. Methods SBNET patients without distant metastasis from 2004 to 2017 in the SEER database were included. The optimal cutoff values of examined LNs (ELNs) and negative LNs (NLNs) were calculated by the X-tile software. Propensity score matching (PSM) was done to match patients 1:1 on clinicopathological characteristics between the two groups. The Kaplan-Meier method with log-rank test and multivariable Cox proportional-hazards regression model were used to evaluate the prognostic effect of removed LNs. Results The cutoff values of 14 for ELNs and 9 for NLNs could well distinguish patients with different prognoses. After 1:1 PSM, the differences in clinicopathological characteristics between the two groups were significantly reduced (all P > 0.05). Removal of more than one LN significantly improved the prognosis of the patients (P < 0.001). The number of lymphatic metastasis in the sufficiently radical resection group (SRR, 3.74 ± 3.278, ELN > 14 and NLN > 9) was significantly more than that in the insufficiently radical resection group (ISRR, 2.72 ± 3.19, ELN < 14 or NLN < 9). The 10-year overall survival (OS) of the SRR was significantly better than that of the ISRR (HR = 1.65, P = 0.001, 95% CI: 1.24–2.19). Conclusion Both ELNs and NLNs can well predict the OS of patients. Systematic removal of more than 14 LNs and more than 9 NLNs can increase the OS of SBNET patients.

Regular aspirin intake and prognosis of TxN2-3M0 nasopharyngeal carcinoma: A cohort study based on propensity score matching

Oral Oncology ◽  
2020 ◽  
Vol 103 ◽  
pp. 104589
Author(s):  
Hui Chang ◽  
Ya-lan Tao ◽  
Wei-jun Ye ◽  
Wei-wei Xiao ◽  
Yun-fei Xia ◽  
...  
Keyword(s):  
Cohort Study ◽  
Nasopharyngeal Carcinoma ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Regular Aspirin

Propensity score matching analysis of the survival outcome and toxicity of different treatment modalities for the elderly nasopharyngeal carcinoma patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e23029-e23029
Author(s):  
Mingyu Tan ◽  
Mei Feng ◽  
Yecai Huang ◽  
Peng Xu ◽  
Ke Xu ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Nasopharyngeal Carcinoma ◽  
Propensity Score ◽  
Acute Toxicity ◽  
Propensity Score Matching ◽  
The Elderly ◽  
Survival Outcome ◽  
Bone Marrow Suppression ◽  
Treatment Modalities ◽  
Matching Method

e23029 Background: With the aging society was coming, more elderly nasopharyngeal carcinoma NPC patients should be pay attention. However, no guideline is proposed for them due to lack of prospective clinical trials. We aimed to use propensity score matching method to evaluate the survival outcome and toxicity of the different treatment modalities for them. Methods: II-IV(UICC 8th) elderly NPC patients (≥65 years) were retrospectively enrolled between 2004 to 2016 in our center. All the patients received definitive IMRT, and were allocated into radiotherapy only (RT), concurrent chemoradiotherapy (CCRT) and neoadjuvant chemotherapy followed with CCRT (NACT). Cisplatin-based chemotherapy was used. Survival outcomes and toxicity were analyzed using propensity score-matching method. Results: There were 142 patients included, and the median age was 68 years. The median follow-up time was 47 months. 23 patients received RT only, 61 patients received CCRT and 58 patients received NACT. After matching for gender, age, T and N stage, chemotherapy and non-chemotherapy patients (22 pairs) were analyzed and shown the chemotherapy group had a better OS (86% vs 68%, p= 0.031). The 3-years LRFS, DMFS and DFS of chemotherapy and non-chemotherapy was 95% and 85% ( p= 0.251), 95% and 86% ( p= 0.307), 86% and 73% ( p= 0.309). Furthermore, 41 pairs who underwent chemotherapy were sub-analyzed according to different modalities. CCRT group showed a comparable 3-years LRFS (100% vs 94%, p= 0.143), DMFS (87% vs 89%, p= 0.608), DFS (81% vs 84%, p= 0.892) and OS (79% vs 66%, p= 0.080) with NACT. For acute toxicity, the incidence of G3-5 bone marrow suppression in non-chemotherapy was significantly lower than chemotherapy group (8.7% vs 36.4%, p= 0.31), and the incidence of G3-5 mucositis was similar ( p= 0.517). Besides that, there was no significant difference in the incidence of G3-5 bone marrow suppression and mucositis between CCRT and NACT group ( p= 0.824, p= 0.618). Conclusions: Chemoradiotherapy could improve the survival rate of the elderly NPC patients compared with radiotherapy only. The acute toxicity of CCRT and NACT was similar and acceptable. CCRT was still the standard treatment modality for them. As for the elderly NPC patients who are in good performance status and comorbidity conditions, NACT might be also worthy of recommendation.

scholarly journals Prognostic value of Onodera’s Nutritional Index for intermediate and high risk gastrointestinal stromal tumors treated with or without TKIs

2020 ◽  
Author(s):  
Feng Wang ◽  
Tingting Tao ◽  
Heng Yu ◽  
Yingying Xu ◽  
Xuefeng Xia ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Prognostic Marker ◽  
Prognostic Value ◽  
Prognostic Nutritional Index ◽  
Rank Test ◽  
Lymphocyte Ratio ◽  
Independent Prognostic Marker ◽  
Peripheral Blood Neutrophil ◽  
Nutritional Index

Abstract Background Immunoinflammatory and nutritional markers such as peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and onodera’s prognostic nutritional index (OPNI) have gained considerable attention and revealed preliminaryly as prognostic markers in gastrointestinal stromal tumor (GIST). Methods In this study, we firstly investigated the prognostic value of OPNI in GIST treated with or without TKIs based on the propensity score matching (PSM) method. All of the patients had received surgical resection for primary GIST, The 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 These patients who were treated with TKIs and those who did not were divided into two groups, and we used propensity score matching method to make them have more unified 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 an inclusion criteria. After PSM, there were 200 patients included. Multivariate analyses identified OPNI was an independent prognostic marker, and was associated with primary site, tumor size, mitotic index, tumor rupture, necrosis, and modified NIH risk classification. Low OPNI (< 44.05; HR 0.433; 95% CI 0.236–0.794; P = 0.007) were associated with worse RFS. Conclusions Preoperative OPNI is a novel and useful prognostic marker for GISTs both treated with or without TKIs.

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