Evidence map›Paper›PMID 37434817›Full record

ReviewAmerican journal of translational research2023

A new generation of sensors for non-invasive blood glucose monitoring.

Juncen Wu, Yuqing Liu, Hao Yin, Meng Guo

Abstract readReview
In one paragraph

Review in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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  10. 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

4 authors.

Juncen WuCollege of Engineering Science and Technology, Shanghai Ocean University Shanghai 201306, China.
Yuqing LiuCollege of Engineering Science and Technology, Shanghai Ocean University Shanghai 201306, China.
Hao YinOrgan Transplant Center, Shanghai Changzheng Hospital Shanghai 200003, China.
Meng GuoNational Key Laboratory of Medical Immunology & Institute of Immunology, Navy Medical University Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the incidence of diabetes mellitus has grown exponentially worldwide. It is well-established that blood glucose monitoring is crucial to evaluate pancreatic islet function and determine the optimal medication regimen. However, most current blood glucose meters use invasive techniques, which can cause pain and infection. Non-invasive blood glucose monitoring techniques have gained significant attention as a potential solution to overcome the limitations of current monitoring methods. This review compares the progress and challenges of electrochemical, optical, and electromagnetic/microwave non-invasive blood glucose monitoring techniques to discuss future research trends. Due to the rapid development of wearable devices and transdermal biosensors, which provide efficient, stable, and cost-effective monitoring without the need for invasive blood samples, the market for non-invasive blood glucose monitoring is predicted to become more competitive.

Indexed as

blood glucose monitoringNew sensornon-invasive detection technology

Identifiers

PMID37434817
PMCPMC10331674

What Socratic holds

Textmetadata
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.