Evidence map›Paper›PMID 40777182›Full record

ArticleFrontiers in nutrition2025

The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.

Yan Zhou, Xiaomin Li, Qiying He, Qin Feng, Yu Liu, Banghua Liao

Abstract read
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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Extracts ofPharmaceuticals (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan Zhou *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Xiaomin Li *Institute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Qiying HeDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Qin FengDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Yu LiuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Banghua LiaoDepartment of Urology and Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidney stone incidence and recurrence are increasing, which poses significant health problems. The Advanced Lung Cancer Inflammation Index (ALI) combines body mass index (BMI), albumin, and neutrophil-to-lymphocyte ratio (NLR). It was first created to predict outcomes for cancer patients. Recently, it has been studied as an indicator of overall inflammation and nutrition in other diseases, such as chronic kidney disease, heart failure, acute myocardial infarction, and asthma. This study aimed to evaluate the association between ALI scores and kidney stone risk in adult men, and to assess the potential utility of ALI as an indicative biomarker. Methods: We analyzed data from 5,429 male participants in the National Health and Nutrition Examination Survey (NHANES, 2007-2018). Weighted logistic regression models were used to examine the relationship between ALI scores and the risk of kidney stones. Non-linear associations were further explored with smoothed curve fitting. The predictive value of ALI was assessed using receiver operating characteristic (ROC) curve analysis. Subgroup analyses were conducted to evaluate the consistency of findings across different demographic and clinical characteristics. Results: Out of all participants, 572 (10.5%) had a history of kidney stones. For every one-unit increase in ALI score, the risk of having kidney stones decreased by 22.7% (odds ratio = 0.773, 95% CI: 0.675-0.885, Conclusion: ALI scores were independently linked to a lower risk of kidney stones, especially in men without metabolic diseases. As a simple inflammation and nutrition marker, ALI could help identify people who have a higher risk. However, due to the cross-sectional design of this study, a causal relationship between ALI and kidney stone risk cannot be established. Further prospective studies are needed to validate these findings.

Indexed as

advanced lung cancer inflammation indexinflammationkidney stoneNational Health and Nutrition Examination Survey (NHANES) obesitynutrition

Identifiers

PMID40777182
PMCPMC12329308

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.