Evidence map›Paper›PMID 37373027›Full record

ReviewInternational journal of molecular sciences2023

Microneedle-Integrated Sensors for Extraction of Skin Interstitial Fluid and Metabolic Analysis.

Jie Yang, Ruiyu Luo, Lei Yang, Xiaocheng Wang, Yong Huang

Registry-linked trialOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06994988 (Multi-modal Smart Band-Aid for AI-based Quantification of Pain), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.3field-weighted citation impact, top 4% 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.

NCT06994988 recruitingnot on this mapstarted 2026, after this paper: background citation

Multi-modal Smart Band-Aid for AI-based Quantification of Pain

TypeobservationalSponsorNorthwestern UniversityRan2026 to 2027Enrolled115ConditionsChronic PainArmsA-Band (Smart Band-Aid), Empatica Smartwatch, Questionnaires: Hospital Anxiety & Depression Scale, Central Sensitization Inventory, Pain Catastrophizing Scale, Somatic Symptom Scale-8, Pain Self-Efficacy Questionnaire-10, Athens Insomnia Scale
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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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

5 authors at 2 institutions in 1 country.

Jie YangState Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.ORCID 0000-0003-1839-5891
Ruiyu LuoState Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
Lei YangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.ORCID 0000-0001-8859-9692
Xiaocheng WangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China.ORCID 0000-0002-5268-1050
Yong HuangState Key Laboratory of Targeting Oncology, National Center for International Research of Bio-Targeting Theranostics, Guangxi Key Laboratory of Bio-Targeting Theranostics, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning 530021, China.
Guangxi Medical University · CNZhejiang Lab · CN

Funding

the National Nature Science Foundation of China 32201117 and 82072340the Scientific and Technological Innovation Major Base of Guangxi 2022-36-Z05
6 · The paper itself

Abstract

Skin interstitial fluid (ISF) has emerged as a fungible biofluid sample for blood serum and plasma for disease diagnosis and therapy. The sampling of skin ISF is highly desirable considering its easy accessibility, no damage to blood vessels, and reduced risk of infection. Particularly, skin ISF can be sampled using microneedle (MN)-based platforms in the skin tissues, which exhibit multiple advantages including minimal invasion of the skin tissues, less pain, ease of carrying, capacity for continuous monitoring, etc. In this review, we focus on the current development of microneedle-integrated transdermal sensors for collecting ISF and detecting specific disease biomarkers. Firstly, we discussed and classified microneedles according to their structural design, including solid MNs, hollow MNs, porous MNs, and coated MNs. Subsequently, we elaborate on the construction of MN-integrated sensors for metabolic analysis with highlights on the electrochemical, fluorescent, chemical chromogenic, immunodiagnostic, and molecular diagnostic MN-integrated sensors. Finally, we discuss the current challenges and future direction for developing MN-based platforms for ISF extraction and sensing applications.

Indexed as

Extracellular FluidSkinAdministration, CutaneousNeedlesPorositybiosensordiagnostic techniqueISF samplingmicroneedletransdermal detection

Identifiers

PMID37373027
PMCPMC10298030
OpenAlexW4380047814

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.