Evidence map›Paper›PMID 40285235›Full record

ReviewSensors (Basel, Switzerland)2025

Early Detection and Monitoring of Nephrolithiasis: The Potential of Electrochemical Sensors.

Kaiqiang Sun, Ningbin Zhao, Peizheng Shi, Zhuang Sun, Chen Ye, Li Fu, Dan Dai, Wubo Chu, Tao Cai, Hsu-Sheng Tsai and 1 more

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. 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

11 authors.

Kaiqiang SunSchool of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
Ningbin ZhaoQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Peizheng ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Zhuang SunQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Chen YeQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-5957-7790
Dan DaiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Wubo ChuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Tao CaiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NlMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-9506-1126
Hsu-Sheng TsaiLaboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin 150001, China.
Cheng-Te LinState Key Laboratory of Advanced Marine Materials, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-7090-9610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nephrolithiasis (kidney stone disease) continues to pose a significant global health challenge, affecting millions of individuals and placing substantial economic pressures on healthcare systems. Traditional diagnostic methods-such as computed tomography (CT), ultrasound, and basic urinalysis-are often limited by issues including radiation exposure, lower sensitivity in detecting small stones, operator dependency, and the inability to provide real-time analysis. In response, electrochemical sensors have emerged as innovative and powerful tools capable of the rapid, sensitive, and specific detection of key biomarkers associated with nephrolithiasis. This review highlights the advances in electrochemical approaches for monitoring oxalate and uric acid, the two primary metabolites implicated in kidney stone formation. We discuss the principles of electrode design and fabrication, including nanomaterial integration, 3D printing, and molecular imprinting, which have markedly improved detection limits and selectivity. Furthermore, we critically evaluate the practical challenges-such as sensor fouling, reproducibility, and stability in complex biological matrices-that currently impede widespread clinical implementation. The potentials for miniaturization and point-of-care integration are emphasized, with an eye toward continuous or home-based monitoring systems that can offer personalized insights into risk of stone formation and progression. By consolidating recent findings and exploring future trends in multi-analyte detection and wearable diagnostics, this review provides a roadmap for translating electrochemical sensors from research laboratories to routine clinical practice, ultimately aiming to enhance early intervention and improve patient outcomes in nephrolithiasis.

Indexed as

Biosensing TechniquesElectrochemical TechniquesNephrolithiasisBiomarkersEarly DiagnosisHumansUric AcidBiomarkersUric Acidelectrochemical sensorsnephrolithiasisoxalatepoint-of-care testinguric acid

Identifiers

PMID40285235
PMCPMC12030993

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.