Evidence map›Paper›PMID 40413403›Full record

ArticleBMC infectious diseases2025

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

ChongZhe Pei, Yuxin Dong, Ningning Song

Abstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

ChongZhe Pei *Department of Cardiology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yuxin Dong *Department of Emergency Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Ningning SongDepartment of Breast Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Shushan District, Hefei, Anhui, 230022, P.R. China. sonini00@163.com.

Funding

National Natural Science Foundation of China 82100352National Natural Science Foundation of China 82202212Tianjin Medical University General Hospital "New Century Talents" Cultivation Project XSJ-2021-02Tianjin Medical University General Hospital Young and Middle-Aged Scientific Research Cultivation Fund 303078100501
6 · The paper itself

Abstract

backgroundSeptic patients often face high mortality rates, influenced by various factors, including inflammation and nutritional status. This study investigates the relationship between the Advanced Lung Cancer Inflammation Index (ALI), an indicator of inflammation and nutritional status, and mortality rates (28-day, in-hospital, and ICU) in septic patients.

methodsWe conducted a retrospective analysis using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, focusing on septic patients. Our primary analysis tools were multivariate logistic regression and restricted cubic spline (RCS) to examine the association between ALI and mortality outcomes. Additionally, subgroup and sensitivity analyses were performed to validate the findings.

resultsThe study included 3,739 septic patients. Results showed that higher ALI levels were significantly associated with reduced 28-day and in-hospital mortality rates. Specifically, a one-unit increment in natural log-transformed ALI was linked to a 16% reduced risk of 28-day mortality (p < 0.001) and a 12% reduced risk of in-hospital mortality (p = 0.002). These findings were consistent across different subgroups, confirming the stability of the results.

conclusionsElevated ALI levels are associated with lower mortality rates in septic patients, suggesting ALI as a potential prognostic marker for this group. However, further large prospective studies are needed to corroborate these findings and explore the implications for clinical practice.

Indexed as

Critical IllnessInflammationLung NeoplasmsSepsisAgedAged, 80 and overDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesAdvanced lung cancer inflammation indexInflammationMIMIC-IV databaseMortalityNutritionSepsis

Identifiers

PMID40413403
PMCPMC12103769

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.