Evidence mapPaperPMID 40045274Full record

ReviewBMC nephrology2025

Advances in the diagnosis of early biomarkers for acute kidney injury: a literature review.

Hongsha Yang, Yanqin Chen, Jiajia He, Yi Li, Yunlin Feng

Abstract readReview
In one paragraph

Review in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Toxins · 2026
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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

5 authors.

Hongsha YangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Yanqin ChenSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Jiajia HeSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Yi LiDepartment of Nephrology, Institute of Nephrology, Sichuan Provincial People's Hospital, Sichuan Clinical Research Centre for Kidney Diseases, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Yunlin FengDepartment of Nephrology, Institute of Nephrology, Sichuan Provincial People's Hospital, Sichuan Clinical Research Centre for Kidney Diseases, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China. fengyunlin@med.uestc.edu.cn.

Funding

he National Natural Science Foundation of China 81800613,82270729, U21A20349, and 82070690Key R & D projects in Sichuan Province 2021YFS0372 and 2021YFS037
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a critical condition with diverse manifestations and variable outcomes. Its diagnosis traditionally relies on delayed indicators such as serum creatinine and urine output, making early detection challenging. Early identification is essential to improving patient outcomes, driving the need for novel biomarkers. Recent advancements have identified promising biomarkers across various biological processes. Tubular injury markers, including neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), N-acetyl-β-D-glucosaminidase (NAG), and liver-type fatty acid-binding protein (L-FABP), offer insights into early tubular damage. Inflammatory and repair-associated biomarkers, such as interleukin-18 (IL-18), monocyte chemotactic protein-1 (MCP-1), osteopontin (OPN), and C-C motif chemokine ligand 14 (CCL14), reflect ongoing injury and recovery processes. Additionally, stress and repair markers like tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein-7 (IGFBP-7), alongside filtration markers such as cystatin C (CysC) and proenkephalin (PenKid

Indexed as

Acute Kidney InjuryBiomarkersEarly DiagnosisFatty Acid-Binding ProteinsHepatitis A Virus Cellular Receptor 1HumansLipocalin-2BiomarkersFatty Acid-Binding ProteinsHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1Lipocalin-2Acute kidney injuryBiomarkersEarly diagnosisPrognostic

Identifiers

PMID40045274
PMCPMC11884078

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.