Kidney injury molecule 1 in the early detection of acute kidney injury—a systematic review and meta-analysis

uKIM-1 and bKIM-1 show potential as biomarkers for predicting AKI in adult patients, demonstrating relatively high sensitivity and specificity. However, the current meta-analysis does not provide sufficient evidence to make definitive conclusions, and further studies and clinical trials are needed to determine the practical utility of uKIM-1 and bKIM-1 in clinical diagnosis.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2025-10-17
DOI
https://doi.org/10.3389/fmed.2025.1574945
Citations
2
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
2.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kidney injury molecule 1 in the early detection of acute kidney injury—a systematic review and meta-analysis

Hongchun Shen, Xin Yang, Honglian Wang, Weiwei Cheng et al.
2 citations
Frontiers in Medicine
Acute Kidney Injury Research
2.86
article

Kidney injury molecule 1 in the early detection of acute kidney injury—a systematic review and meta-analysis

Hongchun Shen, Xin Yang, Honglian Wang, Weiwei Cheng, Yun Su, Xue-Mei Shang
article en
2 citations

Abstract

uKIM-1 and bKIM-1 show potential as biomarkers for predicting AKI in adult patients, demonstrating relatively high sensitivity and specificity. However, the current meta-analysis does not provide sufficient evidence to make definitive conclusions, and further studies and clinical trials are needed to determine the practical utility of uKIM-1 and bKIM-1 in clinical diagnosis.

Frontiers in MedicineVol. 12
Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN)
Openalex Percentile: Top 8%
Acute Kidney Injury Research
2.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.