Evidence map›Paper›PMID 35323448›Full record

ArticleBiosensors2022

Application of a Novel Biosensor for Salivary Conductivity in Detecting Chronic Kidney Disease.

Chen-Wei Lin, Yuan-Hsiung Tsai, Yen-Pei Lu, Jen-Tsung Yang, Mei-Yen Chen, Tung-Jung Huang, Rui-Cian Weng, Chun-Wu Tung

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Conundrums of Localized Surface Plasmon Resonance Biosensors.Small (Weinheim an der Bergstrasse, Germany) · 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

8 authors at 5 institutions in 1 country.

Chen-Wei LinSchool of Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0001-7025-2770
Yuan-Hsiung TsaiDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.
Yen-Pei LuTaiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu 30261, Taiwan.
Jen-Tsung YangCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Mei-Yen ChenDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi 61363, Taiwan.ORCID 0000-0002-8980-1300
Tung-Jung HuangCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Rui-Cian WengTaiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu 30261, Taiwan.ORCID 0000-0001-5652-4821
Chun-Wu TungDepartment of Medical Education, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.ORCID 0000-0002-4500-0878
Chang Gung University · TWChang Gung University of Science and Technology · TWChiayi Chang Gung Memorial Hospital · TWNational Institutes of Applied Research · TWNational Taiwan University · TW

Funding

Chang Gung Medical Research Project CORPG6G0183Chang Gung Medical Research Project CORPG6G0211Chang Gung Medical Research Project CORPG6G0212Chang Gung Medical Research Project CORPG6G0213Chang Gung Medical Research Project CORPG6G0233Taiwan Formosa Plastic group FCRPF6L0011
6 · The paper itself

Abstract

The prevalence of chronic kidney disease (CKD) is increasing, and it brings an enormous healthcare burden. The traditional measurement of kidney function needs invasive blood tests, which hinders the early detection and causes low awareness of CKD. We recently designed a device with miniaturized coplanar biosensing probes for measuring salivary conductivity at an extremely low volume (50 μL). Our preliminary data discovered that the salivary conductivity was significantly higher in the CKD patients. This cross-sectional study aims to validate the relationship between salivary conductivity and kidney function, represented by the estimated glomerular filtration rate (eGFR). We enrolled 214 adult participants with a mean age of 63.96 ± 13.53 years, of whom 33.2% were male. The prevalence rate of CKD, defined as eGFR < 60 mL/min/1.73 m2, is 11.2% in our study. By multivariate linear regression analyses, we found that salivary conductivity was positively related to age and fasting glucose but negatively associated with eGFR. We further divided subjects into low, medium, and high groups according to the tertials of salivary conductivity levels. There was a significant trend for an increment of CKD patients from low to high salivary conductivity groups (4.2% vs. 12.5% vs. 16.9%, p for trend: 0.016). The receiver operating characteristic (ROC) curves disclosed an excellent performance by using salivary conductivity combined with age, gender, and body weight to diagnose CKD (AUC equal to 0.8). The adjusted odds ratio of CKD is 2.66 (95% CI, 1.10−6.46) in subjects with high salivary conductivity levels. Overall, salivary conductivity can serve as a good surrogate marker of kidney function; this real-time, non-invasive, and easy-to-use portable biosensing device may be a reliable tool for screening CKD.

Indexed as

Biosensing TechniquesRenal Insufficiency, ChronicAdultAgedCross-Sectional StudiesGlomerular Filtration RateHumansMaleMiddle AgedROC Curvebiosensorchronic kidney diseasenon-invasiveportablesalivary conductivity

Identifiers

PMID35323448
PMCPMC8946539
OpenAlexW4220998905

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.