Evidence map›Paper›PMID 41327085›Full record

Observational studyBMC infectious diseases2025

Advanced lung cancer inflammation index and all-cause mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database.

Linfeng Xie, Jing Chen, Yuanzhu Li, Suxin Luo, Bi Huang

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Linfeng XieDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Jing ChenDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Yuanzhu LiDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Suxin LuoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. luosuxin0204@163.com.
Bi HuangDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. huangbi120@163.com.

Funding

Project of Postgraduate Teaching Reform of The First Affiliated Hospital of CQMU CYYY-YJSJGXM-202408
6 · The paper itself

Abstract

backgroundThe advanced lung cancer inflammation index (ALI) has been shown to associate with the outcome in many diseases. This study aimed to explore the association between ALI and all-cause mortality in critically ill patients with sepsis.

methodsThis is a retrospective observational cohort study and data are obtained from the Medical Information Mart for Intensive Care-IV (MIMIC IV 3.0) database, which included 8133 patients with sepsis and had the measurement of ALI. The participants were divided into four groups based on the quartiles of ALI. The study endpoints were 30-day and 360-day all-cause mortality.

resultsA total of 8133 patients were included in this study. The mortatliy decreased as ALI increased from Q1 to Q4 group. Multivariable Cox regression analysis observed compared with patients in Q1, patients in Q2, Q3, and Q4 had reduced risk of 30-day all-cause mortality (Q2 vs. Q1 HR = 0.871, 95%CI 0.779, 0.974, p = 0.015; Q3 vs. Q1 HR = 0.779, 95%CI 0.689, 0.881, p < 0.001; Q4 vs. Q1 HR = 0.753, 95%CI 0.660, 0.858, p < 0.001) and 360-day all-cause mortality (Q2 vs. Q1 HR = 0.886, 95%CI 0.809, 0.971, p = 0.009; Q3 vs. Q1 HR = 0.810, 95%CI 0.734, 0.894, p < 0.001; Q4 vs. Q1 HR = 0.780, 95%CI 0.702, 0.868, p < 0.001). Restricted cubic spline analysis revealed a non-linear association between ALI and 30-day and 360-day all-cause mortality and the risk increased more significantly as ALI decreased when ALI < 7.961. Sensitivity analysis indicated that the effect of ALI on different subgroup patients were consistent except in patients with or without liver disease.

conclusionALI was negatively associated with short-term and long-term all-cause mortality in patients with sepsis. ALI could serve as a marker for risk stratification and the subsequent interventions in patients with sepsis. However, more studies are warranted to validate our findings.

Indexed as

Critical IllnessInflammationLung NeoplasmsSepsisAgedDatabases, FactualFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexAdvanced lung cancer inflammation indexMIMIC-IV databaseMortalitySepsis

Identifiers

PMID41327085
PMCPMC12771785

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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 OpenQuestion graph.