Evidence map›Paper›PMID 33571117›Full record

ArticleScience advances2021

A thermal activated and differential self-calibrated flexible epidermal biomicrofluidic device for wearable accurate blood glucose monitoring.

Zhihua Pu, Xingguo Zhang, Haixia Yu, Jiaan Tu, Hailong Chen, Yuncong Liu, Xiao Su, Ridong Wang, Lei Zhang, Dachao Li

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 174 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Zhihua PuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.ORCID 0000-0002-6309-8186
Xingguo ZhangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Haixia YuTianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin University, Tianjin, China.
Jiaan TuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Hailong ChenState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Yuncong LiuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.ORCID 0000-0002-7749-5086
Xiao SuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Ridong WangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.ORCID 0000-0002-5449-1752
Lei ZhangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.ORCID 0000-0002-9626-4574
Dachao LiState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China. dchli@tju.edu.cn.ORCID 0000-0002-5010-7047
Tianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports a flexible electronics-based epidermal biomicrofluidics technique for clinical continuous blood glucose monitoring, overcoming the drawback of the present wearables, unreliable measurements. A thermal activation method is proposed to improve the efficiency of transdermal interstitial fluid (ISF) extraction, enabling extraction with a low current density to notably reduce skin irritation. An Na

Identifiers

PMID33571117
PMCPMC7840141
OpenAlexW3124197437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.