Prognostic Significance of Pre- to Postoperative Dynamics of the Prognostic Nutritional Index for Patients with Renal Cell Carcinoma Who Underwent Radical Nephrectomy

2017 ◽  
Vol 24 (13) ◽  
pp. 4067-4075 ◽  
Author(s):  
Minyong Kang ◽  
Chun Tae Chang ◽  
Hyun Hwan Sung ◽  
Hwang Gyun Jeon ◽  
Byong Chang Jeong ◽  
...  
2021 ◽  
Vol 11 ◽  
Author(s):  
Changqing Mao ◽  
Weixin Xu ◽  
Weina Ma ◽  
Chun Wang ◽  
Zhaojiao Guo ◽  
...  

BackgroundThe pretreatment prognostic nutritional index (PNI) is correlated with poor prognosis in several malignancies. However, the prognostic role of PNI in patients with renal cell carcinoma (RCC) remains unclear. Therefore, we performed a meta-analysis to investigate the prognostic significance of PNI in patients with RCC.MethodsWe searched the PubMed, Web of Science, Embase, Scopus, and Cochrane Library databases up to February 2021. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate correlation between PNI and survival endpoints in RCC.ResultsTen studies with 4,908 patients were included in the meta-analysis. The pooled results indicated that a low PNI associated with poor overall survival (HR = 2.10, 95% CI = 1.67–2.64, p<0.001), shorter progression-free survival, disease-free survival, recurrence-free survival (HR = 1.99, 95% CI = 1.67–2.36, p<0.001), and poor cancer-specific survival (HR = 2.95, 95% CI = 1.61–5.39, p<0.001). Additionally, the prognostic ability of PNI was not affected by subgroup analysis factors.ConclusionThe meta-analysis indicated that low PNI associated with shorter survival outcomes in patients with RCC. Therefore, PNI could be used as an effective prognostic indicator in RCC.


2020 ◽  
Vol 509 ◽  
pp. 210-216
Author(s):  
Xu Hu ◽  
Yao-Hui Wang ◽  
Thongher Lia ◽  
Zhi-Qiang Yang ◽  
Yan-Xiang Shao ◽  
...  

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 14629-14629
Author(s):  
C. H. Ohlmann ◽  
T. Schneider ◽  
S. Wille ◽  
U. Engelmann ◽  
A. Heidenreich

14629 Background: Recurrence of renal cell carcinoma depends mainly on tumor stage at the time of radical nephrectomy and increases with increasing T-stage. Up to 30% of patients with T1–2 tumors will experience local or distant recurrence. Recommendations for the follow-up include chest x-ray every 6 months for stages T1–4 and abdominal CT-scan for pT3–4 for the first 3 years. The aim of our study was to identify prognostic factors predicting recurrence of RCC in order to individualize follow up strategies. Methods: We retrospectively analyzed the charts of 177 patients with RCC who underwent radical nephrectomy. In 163/177 (92%) of the patients the histology revealed renal cell carcinoma. The median-follow up was 4.5 (1–6) years. The prognostic significance of histology, gender, age, c-reactive protein, hemoglobin, hematuria, gross hematuria, weight loss, flank pain and metastases at the time of surgery for risk of recurrence was calculated by uni- and multivariate analysis. Cancer specific survival (CSS) was analyzed by the Kaplan-Meir method. Results: Logistic regression analysis identified presence of metastases at time of surgery (p ≤ 0.0005), hematuria (p ≤ 0.0005) and flank pain (p = 0.011) as independent prognostic factors for the recurrence of RCC. The risk of recurrent disease is 33.5% with one, 70 to 83% with two and 95.6% with the presence of all 3 markers. 3-year CSS is 69% vs. 82% in symptomatic vs. asymptomatic patients (p = 0.1352), 45% vs. 90% in M1/N1 vs. M0/N0 (p = 0.0001) and 78% vs. 88% in pT3b vs. <pT3b (p = 0.0102). Conclusions: In our study we were able to identify prognostic factors for the recurrence of renal cell carcinoma. Based on this model the follow-up of patients can be individualized according to the risk for recurrence after radical nephrectomy. No significant financial relationships to disclose.


2015 ◽  
Vol 23 (1) ◽  
pp. 321-327 ◽  
Author(s):  
Hwang Gyun Jeon ◽  
Don Kyoung Choi ◽  
Hyun Hwan Sung ◽  
Byong Chang Jeong ◽  
Seong Il Seo ◽  
...  

2015 ◽  
Vol 33 (2) ◽  
pp. 68.e1-68.e7 ◽  
Author(s):  
Sebastian L. Hofbauer ◽  
Allan J. Pantuck ◽  
Michela de Martino ◽  
Ilaria Lucca ◽  
Andrea Haitel ◽  
...  

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