Evidence map›Paper›PMID 36005002›Full record

ReviewBiosensors2022

Microneedle-Based Glucose Sensor Platform: From

Jian Ju, Lin Li, Sagar Regmi, Xinyu Zhang, Shixing Tang

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Review
  2. Organ-on-a-chip models for development of cancer immunotherapies.Cancer immunology, immunotherapy : CII · 2023
    Review
  3. Review
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

5 authors.

Jian JuWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.
Lin LiWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.
Sagar RegmiDepartment of Pharmacology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0001-5104-6613
Xinyu ZhangWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.
Shixing TangWenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.

Funding

the start-up grant of Wenzhou Institute, University of Chinese Academy of Sciences WIUCASQD2021027 and WIUCASQD2020018
6 · The paper itself

Abstract

Significant advanced have recently been made in exploiting microneedle-based (MN-based) diabetes devices for minimally invasive wearable biosensors and for continuous glucose monitoring. Within this emerging class of skin-worn MN-based sensors, the ISF can be utilized as a rich biomarker source to diagnose diabetes. While initial work of MN devices focused on ISF extraction, the recent research trend has been oriented toward developing in vivo glucose sensors coupled with optical or electrochemical (EC) instrumentation. This outlook highlights the essential characteristics of the sensing mechanisms, rational design, sensing properties, and applications. Finally, we describe the opinions about the challenge and prospects of optical and EC MN-based device platforms for the fabrication of wearable biosensors and their application potential in the future.

Indexed as

Biosensing TechniquesWearable Electronic DevicesBlood GlucoseBlood Glucose Self-MonitoringPoint-of-Care TestingBlood Glucosecontinuous glucose monitoringelectrochemicalmaterialsmicroneedlesurface-enhanced Raman spectroscopywearable biosensor

Identifiers

PMID36005002
PMCPMC9405967

What OpenQuestion holds

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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.