Evidence map›Paper›PMID 38966070›Full record

ArticleFrontiers in oncology2024

Values of a novel comprehensive prognostic nutritional index (FIDA) in the prognosis of non-small cell lung cancer.

Han Qiao, Yan Feng, Xiaolei Han, Huaping Tang

Abstract read
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Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Han Qiao *Department of Respiratory Medicine, Qingdao University, Qingdao, China.
Yan Feng *Department of Respiratory Medicine, Qingdao University, Qingdao, China.
Xiaolei HanDepartment of Health Office, Qingdao Municipal Hospital, Qingdao, China.
Huaping TangDepartment of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study focuses on determining the prognostic and predictive value of the comprehensive prognostic nutrition index (FIDA) in individuals undergoing treatment for Non-Small-Cell Lung Carcinoma (NSCLC). Methods: This retrospective analysis encompassed 474 of NSCLC patients treated from January 2010 through December 2019. Employing the Lasso-COX regression approach, eight blood parameters were identified as significant prognostic indicators. These parameters contributed to the formulation of the comprehensive prognostic nutrition index FIDA. Utilizing X-tile software, the patient cohort was categorized into either a high or low FIDA group based on an established optimal threshold. The cohort was then randomly segmented into a training set and a validation set using SPSS software. Subsequent steps involved conducting univariate and multivariate regression analyze to develop a prognostic nomogram. The effectiveness of this nomogram was evaluated by calculating the AUC. Results: Analysis of survival curves for both the training and validation sets revealed a poorer prognosis in the high FIDA group compared to the low FIDA group. This trend persisted across various subgroups, including gender, age, and smoking history, with a statistical significance (p<0.05). Time-dependent ROC and diagnostic ROC analyses affirmed that FIDA serves as an effective diagnostic and prognostic marker in NSCLC. Moreover, Cox regression multivariate analysis established FIDA as an independent prognostic factor for NSCLC. The prognostic nomogram, integrating FIDA and clinical data, demonstrated substantial prognostic utility and outperformed the traditional TNM staging systemin predicting overall survival (OS). Conclusion: FIDA emerges as a dependable predictor of outcomes for patients with NSCLC. It offers a practical, cost-effective tool for prognostication in regular clinical applications.

Indexed as

FIDAnomogramnon-small-cell lung carcinoma (NSCLC)overall survival (OS)prognosis

Identifiers

PMID38966070
PMCPMC11222396

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