Evidence map›Paper›PMID 40596381›Full record

ArticleScientific reports2025

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

Lei Zhang, Minye Li, Jianfei Liu, Zhanwei Zhao, Lijun Zhou

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Lei Zhang *Central Laboratory, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China.
Minye Li *Nursing Department of Chinese PLA General Hospital, Beijing, 100853, China.
Jianfei LiuCentral Laboratory, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China.
Zhanwei ZhaoGeneral Surgery Department of PLA General Hospital, Beijing, 100853, China. zzq194910@163.com.
Lijun ZhouCentral Laboratory, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China. hzzhoulj@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the association between the advanced lung cancer inflammation (ALI) index and the risk of mortality in critically ill patients with sepsis. This retrospective study included 6489 critically ill patients with sepsis from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The participants were grouped into four groups according to the ALI index quartiles. The outcome was in-hospital mortality and intensive care unit (ICU) mortality. Cox proportional hazards regression analysis and restricted cubic spline regression were used to evaluate the association between the ALI index and clinical outcomes in critically ill patients with sepsis. A total of 6489 patients (59.1% male) were included in the study. The in-hospital and ICU mortality were 25.4% and 19.0%, respectively. Multivariate Cox proportional hazards analysis showed that the ALI index was independently associated with all-cause mortality. After confounders adjusting, ALI index had a significant association with hospital mortality (adjusted hazards ratio, 0.990; 95% confidence interval, 0.985-0.996; P < 0.001) and ICU mortality (adjusted hazards ratio, 0.991; 95% confidence interval, 0.985-0.997; P = 0.004). Restricted cubic splines revealed a non-linear association between ALI and all-cause mortality in sepsis patients. Our study indicates that the ALI index has a significant association with hospital and ICU all-cause mortality in critically ill sepsis patients. However, further confirmation of these findings necessitates larger prospective studies.

Indexed as

Critical IllnessInflammationLung NeoplasmsSepsisAgedDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesAdvanced lung cancer inflammation indexAll-cause mortalityMIMIC-IV databaseSepsis

Identifiers

PMID40596381
PMCPMC12214657

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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.