The prognostic significance of the prognostic nutritional index in cancer: a systematic review and meta-analysis

2014 ◽  
Vol 140 (9) ◽  
pp. 1537-1549 ◽  
Author(s):  
Kaiyu Sun ◽  
Shuling Chen ◽  
Jianbo Xu ◽  
Guanghua Li ◽  
Yulong He
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Nutritional Index

scholarly journals Prognostic Significance of the Preoperative Prognostic Nutritional Index in Epithelial Ovarian Cancer Patients: A Systematic Review and Meta-analysis of Cohort Studies

2020 ◽  
Author(s):  
Ting-Ting Gong ◽  
Jia-Yu Zhang ◽  
Hui Sun ◽  
Qi-Jun Wu ◽  
Song Gao
Keyword(s):  
Systematic Review ◽  
Ovarian Cancer ◽  
Cohort Studies ◽  
Publication Bias ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Progression Free Survival ◽  
Poor Overall Survival ◽  
Nutritional Index

Abstract BackgroundThe main aim of this study was to validate the potential association between the preoperative prognostic nutritional index (PNI) and survival of patients with ovarian cancer (OC).MethodsWe systematically searched multiple databases (PubMed, EMBASE, and Web of Science) for publications up to June 30, 2019, to identify observational studies evaluating the PNI in relation to survival. Two reviewers independently extracted data and assessed the quality of each study using the Newcastle-Ottawa Scale (NOS). Summary hazard ratios (HR) and 95% confidence intervals (CI) were calculated with the aid of a random-effects model. The potential for publication bias was explored using Funnel plots as well as Begg’s and Egger’s tests.ResultsAmong the 15,000 studies selected for selection, 5 retrospective cohort studies (4 from China and one from Japan) comprising 1964 OC patients met the inclusion criteria. All studies were graded as ‘low risk of bias’ according to NOS. A low preoperative PNI was associated with poor overall survival (HR = 1.69, 95% CI = 1.16–2.46; I2 = 83.8%) and progression-free survival (HR = 1.86, 95% CI = 1.39–2.51; I2 = 29.7%) of OC patients. No significant publication bias was detected.ConclusionsCollective data from the present systematic review and meta-analysis suggest that a low preoperative PNI is associated with poor survival in OC. Further prospective studies are required to confirm these findings.

scholarly journals Prognostic significance of preoperative prognostic nutritional index in hepatocellular carcinoma: a meta-analysis

HPB ◽  
2018 ◽  
Vol 20 (10) ◽  
pp. 888-895 ◽  
Author(s):  
Zhongran Man ◽  
Qing Pang ◽  
Lei Zhou ◽  
Yong Wang ◽  
Xiaosi Hu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Nutritional Index

scholarly journals Prognostic Value of Pretreatment Prognostic Nutritional Index in Patients With Renal Cell Carcinoma: A Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Changqing Mao ◽  
Weixin Xu ◽  
Weina Ma ◽  
Chun Wang ◽  
Zhaojiao Guo ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Prognostic Nutritional Index ◽  
Cochrane Library ◽  
Free Survival ◽  
Nutritional Index

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.

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