Evidence map›Paper›PMID 40817409›Full record

ArticleScientific reports2025

The aggregate index of systemic inflammation is positively correlated with the risk of all-cause mortality in sepsis-associated acute kidney injury.

Ruming Liu, Yanqi Fan, Bokang Jia, Panshi Li

Abstract read
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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

4 authors.

Ruming LiuIntensive Care Unit, Dongguan People's Hospital, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, 523000, Guangdong Province, China.
Yanqi FanIntensive Care Unit, Dongguan People's Hospital, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, 523000, Guangdong Province, China.
Bokang JiaIntensive Care Unit, Dongguan People's Hospital, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, 523000, Guangdong Province, China.
Panshi LiIntensive Care Unit, Dongguan People's Hospital, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, 523000, Guangdong Province, China. dushiyuweng@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a major health problem worldwide, and sepsis-associated acute kidney injury (SA-AKI) patients usually experience severe conditions, high mortality, and long length of stay. The predictive value of aggregate index of systemic inflammation (AISI) in the prognosis of several diseases has been documented. This study intends to investigate the association between AISI and mortality in SA-AKI. Data of patients with SA-AKI first admitted to the intensive care unit in 2008-2019 were acquired from the Medical Information Mart for Intensive Care IV (MIMIC-IV). The impact of AISI on 30-/90-/180-d and 1-year mortality in SA-AKI was investigated by Cox proportional hazard regression models, Kaplan-Meier analyses, and restricted cubic spline (RCS) analyses. Moreover, subgroup analyses, stratified by gender, comorbidity, and intervention, were conducted. Totally 9714 SA-AKI patients were included, and they were assigned into a Low AISI Group (AISI < 735.405 × 10

Indexed as

Acute Kidney InjuryInflammationSepsisAgedFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsAggregate index of systemic inflammation (AISI)SepsisSepsis-associated acute kidney injury (SA-AKI)

Identifiers

PMID40817409
PMCPMC12356892

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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.