Evidence map›Paper›PMID 37371509›Full record

ReviewBiomolecules2023

Drug Delivery Systems for Personal Healthcare by Smart Wearable Patch System.

Bikram Khadka, Byeongmoon Lee, Ki-Taek Kim

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 26 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

3 authors at 2 institutions in 1 country.

Bikram KhadkaDepartment of Biomedicine, Health & Life Convergence Sciences (BK21 Four), Biomedical and Healthcare Research Institute (BHRI), Mokpo National University, Muan-gun 58554, Jeonnam, Republic of Korea.
Byeongmoon LeeSoft Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.
Ki-Taek KimDepartment of Biomedicine, Health & Life Convergence Sciences (BK21 Four), Biomedical and Healthcare Research Institute (BHRI), Mokpo National University, Muan-gun 58554, Jeonnam, Republic of Korea.
Mokpo National University · KRKorea Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart wearable patch systems that combine biosensing and therapeutic components have emerged as promising approaches for personalized healthcare and therapeutic platforms that enable self-administered, noninvasive, user-friendly, and long-acting smart drug delivery. Sensing components can continuously monitor physiological and biochemical parameters, and the monitoring signals can be transferred to various stimuli using actuators. In therapeutic components, stimuli-responsive carrier-based drug delivery systems (DDSs) provide on-demand drug delivery in a closed-loop manner. This review provides an overview of the recent advances in smart wearable patch systems, focusing on sensing components, stimuli, and therapeutic components. Additionally, this review highlights the potential of fully integrated smart wearable patch systems for personalized medicine. Furthermore, challenges associated with the clinical applications of this system and future perspectives are discussed, including issues related to drug loading and reloading, biocompatibility, accuracy of sensing and drug delivery, and largescale fabrication.

Indexed as

Drug Delivery SystemsWearable Electronic DevicesDelivery of Health CarePharmaceutical PreparationsPharmaceutical Preparationsbiosensordrug delivery systemspersonalized healthcaresmart wearable patchstimuli-responsive carriers

Identifiers

PMID37371509
PMCPMC10295889
OpenAlexW4379230814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.