Evidence map›Paper›PMID 41707675›Full record

Observational studyRenal failure2026

Combined plasma syndecan-1 and renal resistive index as early predictors of sepsis-associated Acute kidney injury: a prospective observational study.

Rouxin Zhang, Danqing Zhang, Linxi Huang, Xiaohua Huang

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Renal failure, 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. Review
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.

Rouxin ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Danqing ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Linxi HuangDepartment of Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Xiaohua HuangDepartment of Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.ORCID 0009-0009-4282-4060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interplay between macro-microcirculatory dysfunction and sepsis associated acute kidney injury (SA-AKI) remains elusive. This study aimed to explore the association between hemodynamics and endothelial damage in SA-AKI by evaluating the combined predictive value of renal resistive index (RRI) and plasma syndecan-1. This prospective observational study enrolled 80 septic patients admitted to the general intensive care unit (ICU) of a tertiary hospital from May to December 2024. Plasma syndecan-1 levels were measured at admission, and RRI was assessed within 24 h of ICU admission. Univariate and multivariate logistic regression models were applied to identify independent risk factors of SA-AKI. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis by calculating the area under the curve (AUC). Among 80 septic patients, 41(51.25%) developed AKI. Syndecan-1 levels were significantly higher in the AKI group [109.95 (73.67-221.40) vs.73.67 (54.59-109.95) ng/mL,

Indexed as

Acute Kidney InjuryKidneySepsisSyndecan-1AgedBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk FactorsROC CurveVascular ResistanceBiomarkersSDC1 protein, humanSyndecan-1bedside doppler ultrasoundendothelial glycocalyxmacro- microcirculatory dysfunctionrenal resistive indexSepsis associated acute kidney injury

Identifiers

PMID41707675
PMCPMC12918287

What OpenQuestion holds

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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.