Evidence map›Paper›PMID 24759111›Full record

ArticleSensors (Basel, Switzerland)2014

A method for measuring the volume of transdermally extracted interstitial fluid by a three-electrode skin resistance sensor.

Dachao Li, Ridong Wang, Haixia Yu, Guoqing Li, Yue Sun, Wenshuai Liang, Kexin Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. 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
–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

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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.

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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.

Dachao LiState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. dchli@tju.edu.cn.
Ridong WangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. rdwang@tju.edu.cn.
Haixia YuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. jyyhx2000@163.com.
Guoqing LiState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. liguoqing@tju.edu.cn.
Yue SunState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. sy86311@gmail.com.
Wenshuai LiangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. liangwenshuai@tju.edu.cn.
Kexin XuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. kexin@tju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is difficult to accurately measure the volume of transdermally extracted interstitial fluid (ISF), which is important for improving blood glucose prediction accuracy. Skin resistance, which is a good indicator of skin permeability, can be used to determine the volume of extracted ISF. However, it is a challenge to realize in vivo longitudinal skin resistance measurements of microareas. In this study, a three-electrode sensor was presented for measuring single-point skin resistance in vivo, and a method for determining the volume of transdermally extracted ISF using this sensor was proposed. Skin resistance was measured under static and dynamic conditions. The correlation between the skin resistance and the permeation rate of transdermally extracted ISF was proven. The volume of transdermally extracted ISF was determined using skin resistance. Factors affecting the volume prediction accuracy of transdermally extracted ISF were discussed. This method is expected to improve the accuracy of blood glucose prediction, and is of great significance for the clinical application of minimally invasive blood glucose measurement.

Indexed as

Biosensing TechniquesBlood GlucoseDermisElectric ImpedanceElectrodesExtracellular FluidHumansReproducibility of ResultsTime FactorsBlood Glucose

Identifiers

PMID24759111
PMCPMC4029690

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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.