Evidence map›Paper›PMID 40740972›Full record

ArticleJournal of inflammation research2025

The Relationship Between Advanced Lung Cancer Inflammation Index and Adverse Clinical Outcomes in Patients with Myocardial Infarction with No-Obstructive Coronary Arteries.

Hong-Wei Zhao, Cheng-Fu Wang

Abstract read
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Article in Journal of inflammation research, 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hong-Wei ZhaoDepartment of Cardiology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, People's Republic of China.
Cheng-Fu WangDepartment of Cardiology, The People's Hospital of Liaoning Province, Shenyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The advanced lung cancer inflammation index (ALI) has been suggested as a reliable prognostic indicator for cardiovascular disease. However, the association between ALI and the prognosis of patients with myocardial infarction with no-obstructive coronary arteries (MINOCA) remains undetermined. Methods: In the present study, we consecutively included 437 MINOCA patients. All the patients received a follow-up at 1 week, 1, 3, 6, and 12 months and annually after discharge. The major adverse cardiovascular and cerebrovascular events (MACCE) defined as a composite of all-cause mortality, coronary revascularization, non-fatal stroke, AMI, heart failure or readmission for angina pectoris were recorded. The predictors for MACCE were explored. The ROC analysis was used to determine the predictive value of ALI for MACCE in MINOCA patients. Results: Patients with MACCE had a decreased level of body mass index, albumin and ALI, while an increased level of white blood cell count, neutrophils count, N-terminal proB-type natriuretic peptide, neutrophil-to-lymphocyte ratio, peak cardiac troponin I (P<0.05). When the patients were divided into three groups according the tertiles of ALI, we discovered that patients with a lower level of ALI tended to suffer an increased risk of readmission for angina pectoris and accumulative MACCE (p<0.05). The multivariate Cox hazard proportional model showed that a higher NT-proBNP (HR: 1.014, 95% CI: 1.004-1.023, P=0.005) and a lower ALI (HR: 0.997, 95% CI: 0.995-0.998, P<0.001) were independent predictors for MACCE in MINOCA patients (p<0.05). When ALI≤256.97, the specificity was 0.659 and the sensitivity 0.629 (AUC, 0.662; 95% CI, 0.611-0.714, P=0.026). Conclusion: A lower ALI was an independent predictor for MACCE in MINOCA patients. As a quite easily calculated indicator in clinical practice, ALI can be used in risk stratification and prognostic assessment in MINOCA patients.

Indexed as

advanced lung cancer inflammation indexmajor adverse cardiovascular and cerebrovascular eventsmyocardial infarction with no-obstructive coronary arteriespredictor

Identifiers

PMID40740972
PMCPMC12309569

What Socratic holds

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Registered trials

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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.