Evidence mapPaperPMID 41913792Full record

ReviewJournal of inflammation research2026

Circulating and Respiratory Biomarkers in Sepsis-Induced ARDS: Diagnostic and Prognostic Insights - A Narrative Review.

Bertrand-Geoffrey Muhoza, Shaohua Liu, Emery Niyonkuru, Tongwen Sun

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Bertrand-Geoffrey MuhozaGeneral Intensive Care Unit, Department of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, 450052, People's Republic of China.
Shaohua LiuGeneral Intensive Care Unit, Department of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, 450052, People's Republic of China.
Emery NiyonkuruDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.ORCID 0009-0004-6267-6783
Tongwen SunGeneral Intensive Care Unit, Department of Emergency Medicine, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, 450052, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis affects around 50 million people annually and is a significant contributor to acute respiratory distress syndrome (ARDS), leading to high morbidity and mortality. Sepsis-induced ARDS is the leading cause of ARDS globally and has worse outcomes compared to other causes, with mortality rates up to 40% in severe instances. Geographic variability in ARDS prevalence is notable, with rates of 27% among septic patients in China, 6-7% in Western countries, and up to 31% in sub-Saharan African Intensive Care Units, highlighting significant disparities in disease burden and outcomes. Management of sepsis-induced ARDS generally necessitates mechanical ventilation, yet extended ventilatory support can lead to negative outcomes. Weaning from ventilation is complicated by the inflammatory response and multiorgan dysfunction seen in sepsis. Traditional weaning predictors, like the rapid shallow breathing index, show inadequate sensitivity and specificity, indicating a requirement for more effective predictive tools. Recent studies have identified several biomarkers, including Pancreatic Stone Protein, soluble receptor for advanced glycation end-products, and soluble urokinase plasminogen activator receptor, as promising tools for enhancing the prediction of mechanical ventilation outcomes in sepsis-induced ARDS. Despite the identification of multiple biomarkers, a major clinical gap remains: there is currently no consensus on their routine use to guide weaning, largely due to inconsistent findings, heterogeneity in study designs, and limited large-scale validation. This review explores the role of circulating and respiratory biomarkers in improving outcomes for patients with sepsis-induced ARDS, particularly in predicting successful mechanical ventilation weaning. It appraises the evidence surrounding these biomarkers against traditional weaning indices and identifies gaps in existing research. The review emphasizes the strengths and limitations of current studies, suggesting that validated biomarker-guided strategies could significantly enhance clinical management by reducing ventilation duration, preventing extubation failures, and improving survival rates in this vulnerable patient group.

Indexed as

ARDSbiomarkermechanical ventilationsepsisweaning

Identifiers

PMID41913792
PMCPMC13033304

What Socratic 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 Socratic graph.