Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis

Int J Biol Markers. 2018 Nov;33(4):372-378. doi: 10.1177/1724600818799876. Epub 2018 Oct 3.

Abstract

Background:: The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC.

Methods:: We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival.

Results:: Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC.

Conclusion:: Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients.

Keywords: Prognostic nutritional index; meta-analysis; non-small cell lung cancer; prognosis.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Biomarkers, Tumor
  • Carcinoma, Non-Small-Cell Lung / mortality*
  • Lung Neoplasms / mortality*
  • Nutrition Assessment*
  • Prognosis
  • Publication Bias

Substances

  • Biomarkers, Tumor