Evidence map›Paper›PMID 34957071›Full record

ReviewFrontiers in bioengineering and biotechnology2021

The Application of Wearable Glucose Sensors in Point-of-Care Testing.

Sheng Zhang, Junyan Zeng, Chunge Wang, Luying Feng, Zening Song, Wenjie Zhao, Qianqian Wang, Chen Liu

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 55 citations in OpenAlex.

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  16. [Research progress on minimally invasive and non-invasive blood glucose detection methods].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
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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 3 institutions in 1 country.

Sheng ZhangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Junyan ZengState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Chunge WangSchool of Mechanical and Energy Engineering, Ningbo Tech University, Ningbo, China.
Luying FengState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Zening SongState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Wenjie ZhaoState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Qianqian WangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Chen LiuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Ningbo Research Institute, Zhejiang University, Hangzhou, China.
Ningbo University · CNZhejiang University · CNNingbo University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes and its complications have become a worldwide concern that influences human health negatively and even leads to death. The real-time and convenient glucose detection in biofluids is urgently needed. Traditional glucose testing is detecting glucose in blood and is invasive, which cannot be continuous and results in discomfort for the users. Consequently, wearable glucose sensors toward continuous point-of-care glucose testing in biofluids have attracted great attention, and the trend of glucose testing is from invasive to non-invasive. In this review, the wearable point-of-care glucose sensors for the detection of different biofluids including blood, sweat, saliva, tears, and interstitial fluid are discussed, and the future trend of development is prospected.

Indexed as

biofluidsglucose sensornon-invasivepoint-of-care testingwearable

Identifiers

PMID34957071
PMCPMC8692794
OpenAlexW4200578282

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.