Evidence mapPaperPMID 37504101Full record

ArticleBiosensors2023

A Novel Salivary Sensor with Integrated Au Electrodes and Conductivity Meters for Screening of Diabetes.

Chen-Wei Lin, Yuan-Hsiung Tsai, Yun-Shing Peng, Jen-Tsung Yang, Yen-Pei Lu, Mei-Yen Chen, Chun-Wu Tung

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

7 authors at 5 institutions in 1 country.

Chen-Wei LinDepartment of Medical Education, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.ORCID 0000-0001-7025-2770
Yuan-Hsiung TsaiDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.
Yun-Shing PengCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Jen-Tsung YangCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Yen-Pei LuNational Applied Research Laboratories, Taiwan Instrument Research Institute, Hsinchu 30261, Taiwan.
Mei-Yen ChenDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi 61363, Taiwan.ORCID 0000-0002-8980-1300
Chun-Wu TungDepartment of Nephrology, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.
Chang Gung University · TWChang Gung University of Science and Technology · TWChiayi Chang Gung Memorial Hospital · TWNational Chiayi University · TWNational Institutes of Applied Research · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise in diabetes cases is a growing concern due to the aging of populations. This not only places a strain on healthcare systems but also creates serious public health problems. Traditional blood tests are currently used to check blood sugar levels, but they are invasive and can discourage patients from regularly monitoring their levels. We recently developed nano-sensing probes that integrate Au microelectrodes and conductivity meters, requiring only 50 μL of saliva for measurement. The usage of the co-planar design of coating-free Au electrodes makes the measurement more stable, precise, and easier. This study found a positive correlation between the participant's fasting blood sugar levels and salivary conductivity. We observed a diabetes prevalence of 11.6% among 395 adults under 65 years in this study, using the glycated hemoglobin > 6.5% definition. This study found significantly higher salivary conductivity in the diabetes group, and also a clear trend of increasing diabetes as conductivity levels rose. The prediction model, using salivary conductivity, age, and body mass index, performed well in diagnosing diabetes, with a ROC curve area of 0.75. The study participants were further divided into low and high groups based on salivary conductivity using the Youden index with a cutoff value of 5.987 ms/cm. Individuals with higher salivary conductivity had a 3.82 times greater risk of diabetes than those with lower levels, as determined by the odds ratio calculation. In conclusion, this portable sensing device for salivary conductivity has the potential to be a screening tool for detecting diabetes.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2AdultGlycated HemoglobinHumansMicroelectrodesROC CurveSalivaBlood GlucoseGlycated Hemoglobinblood sugar self-monitoringdiabetes mellitusnon-invasivesalivary conductivitysensor

Identifiers

PMID37504101
PMCPMC10377178
OpenAlexW4382940858

What Socratic holds

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LicenceCC BY
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.