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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Association between CONUT scores and survival outcomes in patients with non-small cell lung cancer: meta-analysis
Tao Xie1, Zhiwei Dong1, Chunlin Wu2
1Department of Preventive Treatment for Diseases, Affiliated Guangdong Hospital of Integrated Chinese and Western Medicine of Guangzhou University of Chinese Medicine, Foshan, China.
Background:
The controlling nutritional status (CONUT) score is associated with cancer prognosis. However, a consensus on its prognostic value in patients with non-small cell lung cancer(NSCLC) is lacking. The present study aims to investigate the relationship between the CONUT score and prognostic and clinicopathological features of NSCLC.
Methods:
The PubMed, Embase, Web of Science and Cochrane Library were searched up to July 2024. Two researchers used the Newcastle Ottawa Scale (NOS) score to evaluate the quality of the included studies and extracted data. The primary and secondary outcomes were overall survival (OS) and disease-free survival (DFS), and the hazard ratio (HR) and 95% confidence interval (CI) were pooled for meta-analysis. The pooled odds ratio (OR) and 95% CI were used to estimate the correlation between the CONUT score and clinical characteristics. Subgroup analysis and sensitivity analysis were performed during the pooled analysis.Funnel plots as well as Begg's and Egger's tests were used to assess publication bias.
Results:
Fifteen high-quality studies with 4973 patients were included. The results indicated that a high CONUT score was associated with poor OS (HR = 1.84, 95%CI: 1.55-2.18; P < 0.0001) and DFS (HR=2.40, 95%CI: 1.73-3.34; P < 0.0001).In addition, a high CONUT score was significantly related to male, advanced age, high CEA, and later TNM stage.
Conclusion:
The results of our meta-analysis suggest that a high CONUT score predicts a poor prognosis of NSCLC patients. In clinical practice, the CONUT score could act as an valuable tool to predict clinical outcomes in patients with NSCLC.
Systematic Review Registration:
https://inplasy.com, identifier INPLASY202408280100.
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