Evidence map›Paper›PMID 38727937›Full record

ArticleApplied biochemistry and biotechnology2024

Diagnostic and Prognostic Values of KLF5 and RUNX1 in Acute Kidney Injury in Septic Patients.

JiaJia Hu, YuSen Lin, YanHong Wang, YunFeng Shi, XiaoHan Shi, BenQuan Wu

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Article in Applied biochemistry and biotechnology, 2024. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

JiaJia HuDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China.
YuSen LinDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China.
YanHong WangDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China.
YunFeng ShiDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China.
XiaoHan ShiDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China.
BenQuan WuDepartment of Medical ICU, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, 510630, Guangdong Province, China. zswbq@163.com.ORCID http://orcid.org/0009-0003-1488-0934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic and prognostic values of Kruppel-like factor 5 (KLF5) and Runt-related transcription factor 1 (RUNX1) were determined in sepsis-induced acute kidney injury (SI-AKI). The study included 120 septic patients and set two groups: SI-AKI group (n = 60) or non-AKI group (n = 60). Fasting venous blood was drawn, and KLF5 and RUNX1 levels were measured. The receiver operating characteristic curve was plotted for diagnostic evaluation of KLF5 and RUNX1 in SI-AKI. The correlation between KLF5 and RUNX1 and serum creatinine (Scr), cystatin C (Cys-C), and kidney injury molecule 1 (KIM-1) were assessed by Pearson method. Predictive values of KLF5 and RUNX1 in 28-day survival of SI-AKI patients were considered by Kaplan-Meier survival curves and multivariate Cox regression analysis. Serum KLF5 and RUNX1 in SI-AKI patients were upregulated. Serum KLF5 and RUNX1 were of high diagnostic value in distinguishing SI-AKI patients from non-AKI patients. KLF5 and RUNX1 were in a positive correlation with Scr, Cys-C, and KIM-1, respectively. The 28-day survival of SI-AKI patients with high serum KLF5 or RUNX1 expression was poor, and serum KLF5 and RUNX1 expression were independently correlated with SI-AKI patients' survival. KLF5 and RUNX1 have diagnostic and prognostic values in SI-AKI patients.

Indexed as

Acute Kidney InjuryCore Binding Factor Alpha 2 SubunitKruppel-Like Transcription FactorsSepsisAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisBiomarkersCore Binding Factor Alpha 2 SubunitKLF5 protein, humanKruppel-Like Transcription FactorsRUNX1 protein, humanAcute kidney injuryDiagnosisKLF5PrognosisRUNX1Sepsis

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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.