Evidence map›Paper›PMID 40603274›Full record

ArticleRenal failure2025

Systemic immune-inflammatory biomarkers assist in differentiating clinical features of different etiologies of acute kidney injury: results from eICU Collaborative Research Database.

Qiqiang Liang, Sumian Zhang, Xuebin Wang

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 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

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

4 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

3 authors.

Qiqiang LiangGeneral Intensive Care Unit, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Sumian ZhangGeneral Intensive Care Unit, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xuebin WangGeneral Intensive Care Unit, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between distinct etiologies of acute kidney injury (AKI) and systemic immune-inflammatory biomarkers remains poorly defined.

methodsWe performed a retrospective cohort study utilizing the eICU Collaborative Research Database (eICU-CRD), a multicenter U.S. dataset. The study included all patients diagnosed with AKI while excluding those with unclear AKI etiology or chronic kidney disease. Analyzed variables encompassed demographic characteristics, admission/discharge data, laboratory parameters, severity scores, and comorbidities. We specifically evaluated four clinically accessible systemic immune-inflammatory indices. Intergroup differences were assessed using letter notations, nonlinear relationships were explored

resultsThe analysis included 2,912 patients with AKI of known etiology, categorized into six etiological subgroups. Pairwise comparisons revealed significant differences (

conclusionPatients with AKI primarily attributed to sepsis, ATN, or hepatorenal syndrome constitute a high-inflammation subgroup characterized by elevated systemic immune-inflammatory biomarkers. This subgroup independently predicts increased mortality risk.

Indexed as

Acute Kidney InjuryInflammationAgedBiomarkersDatabases, FactualFemaleHumansMaleMiddle AgedNeutrophilsPropensity ScoreRetrospective StudiesSeverity of Illness IndexUnited StatesBiomarkersAcute kidney injuryeICU-CRDetiologieshigh inflammationsystemic immune-inflammatory biomarkers

Identifiers

PMID40603274
PMCPMC12224723

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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.