Evidence map›Paper›PMID 40535051›Full record

ArticleFrontiers in nutrition2025

Association between advanced lung cancer inflammation index and atherosclerosis cardiovascular disease in U.S. adults: a population-based investigation.

Zhongtian Xiang, Sheng Lin, Bei Yang, Siman Zhu, Qian Song

Abstract read
In one paragraph

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhongtian Xiang *Lung Cancer Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Sheng Lin *Medical College, China Three Gorges University, Yichang, China.
Bei YangDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Siman ZhuSchool of Basic Medical Sciences, Nanchang Health Vocational and Technical College, Nanchang, China.
Qian SongLung Cancer Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advanced lung cancer inflammation index (ALI) is a multifaceted tool that combines indicators of inflammation and nutritional status to evaluate patient's health conditions. Globally, atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of both morbidity and mortality. Considering the pivotal role of inflammation in cardiovascular disease, investigating the relationship between ALI and ASCVD makes sense. A vast amount of information was gathered from the 1999 to 2018 National Health and Nutrition Examination Survey (NHANES). Univariate and multivariate logistic regression models were employed, supplemented by subgroup analyses and interaction tests. Furthermore, smooth curve fitting was applied to examine linear relationships, while the binary linear regression model was utilized to ascertain the threshold effects. The predictive capabilities of the Systemic Immune-Inflammation Index, Platelet-to-lymphocyte Ratio and ALI for ASCVD were evaluated using Receiver Operating Characteristic (ROC) curves with the area under the curve (AUC) values. A cross-sectional study of 48,845 individuals was included in the study. The ALI demonstrated an inverse association with the likelihood of ASCVD in participants [Odds ratios: 0.87, 95% confidence interval (CI): 0.82 to 0.92]. Sex had a significant interaction impact, according to subgroup analyses (

Indexed as

advanced lung cancer inflammation indexatherosclerotic cardiovascular diseasecross-sectionalcross-sectional studyNHANES

Identifiers

PMID40535051
PMCPMC12173879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.