Evidence map›Paper›PMID 40506080›Full record

ArticleBMJ open2025

Systemic immune-inflammation index in critically ill patients with renal failure: a retrospective cohort study from Medical Information Mart for Intensive Care IV (MIMIC-IV) database.

Min-I Su, Chia-Ying Hsiao, Yu-Cheng Chang, Pi-Yi Chang, Ying-Hsiang Lee, Po-Lin Lin, Wei-Ru Chiou

Abstract read
In one paragraph

Article in BMJ open, 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
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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

7 authors.

Min-I SuDivision of Cardiology, Department of Internal Medicine, Taitung MacKay Memorial Hospital, Taitung, Taiwan.
Chia-Ying HsiaoDepartment of Medicine, MacKay Medical College, New Taipei, Taiwan.
Yu-Cheng ChangDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
Pi-Yi ChangDepartment of Medical Imaging, Taichung Veterans General Hospital, Taichung, Taiwan.
Ying-Hsiang LeeDepartment of Medicine, MacKay Medical College, New Taipei, Taiwan.
Po-Lin LinDivision of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan.
Wei-Ru ChiouDivision of Cardiology, Department of Internal Medicine, Taitung MacKay Memorial Hospital, Taitung, Taiwan clementchiou@gmail.com.ORCID http://orcid.org/0000-0003-1133-5714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSystemic immune-inflammation index (SII) is a biomarker of inflammatory conditions; however, no scoring system has been evaluated for predicting mortality in patients with renal failure in intensive care unit (ICU). This study aimed to determine associations between SII level and mortality in patients with renal failure.

designUsing the Medical Information Mart for Intensive Care IV (V.2.0) database (USA), this retrospective study included 837 patients who were admitted to ICU with end-stage renal disease (ESRD), between 2008 and 2019. PRIMARY AND SECONDARY OUTCOME MEASURES: Cox proportional-hazards models were used to evaluate correlations between SII and outcomes, expressing results as hazard ratios (HRs) with 95% confidence intervals (95% CIs). Regression analysis was used to determine associations between variables and SII.

resultsIn total, 837 adult patients from a total of 76 943 patients admitted to ICU were included, comprising 59.60% males with mean age 62.27±14.9 years and mean BMI 28.36±7.43 Kg/m

conclusionsSII may predict mortality in critically ill patients admitted to ICU with ESRD. SII ≥ 1628×10

Indexed as

InflammationKidney Failure, ChronicAgedBiomarkersCritical IllnessDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesBiomarkersAdult intensive & critical careEnd stage renal failureImmunityRetrospective Studies

Identifiers

PMID40506080
PMCPMC12161354

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.