Evidence map›Paper›PMID 36979525›Full record

ReviewBiosensors2023

Epidermal Wearable Biosensors for Monitoring Biomarkers of Chronic Disease in Sweat.

Xichen Yuan, Chen Li, Xu Yin, Yang Yang, Bowen Ji, Yinbo Niu, Li Ren

Full text readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Enhanced Sweat Biosensing with Thread-Embedded Microfluidic Devices.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  9. Unlocking the Mechanisms of Hidradenitis Suppurativa: Inflammation and miRNA Insights.Clinical, cosmetic and investigational dermatology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. 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

7 authors.

Xichen YuanSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Chen LiKey Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
Xu YinSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Yang YangMinistry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China.
Bowen JiUnmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0002-2655-4840
Yinbo NiuKey Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
Li RenKey Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

National Natural Science Foundation of China 5220052147National Natural Science Foundation of China 82272966Ningbo Natural Science Foundation of China 202003N4047
6 · The paper itself

Abstract

Biological information detection technology is mainly used for the detection of physiological and biochemical parameters closely related to human tissues and organ lesions, such as biomarkers. This technology has important value in the clinical diagnosis and treatment of chronic diseases in their early stages. Wearable biosensors can be integrated with the Internet of Things and Big Data to realize the detection, transmission, storage, and comprehensive analysis of human physiological and biochemical information. This technology has extremely wide applications and considerable market prospects in frontier fields including personal health monitoring, chronic disease diagnosis and management, and home medical care. In this review, we systematically summarized the sweat biomarkers, introduced the sweat extraction and collection methods, and discussed the application and development of epidermal wearable biosensors for monitoring biomarkers in sweat in preclinical research in recent years. In addition, the current challenges and development prospects in this field were discussed.

Indexed as

Biosensing TechniquesWearable Electronic DevicesBiomarkersHumansMonitoring, PhysiologicSweatBiomarkersbiomarkerschronic diseaseepidermispreclinicalsweatwearable biosensor

Identifiers

PMID36979525
PMCPMC10045998

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.