Evidence map›Paper›PMID 29893068›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2018

Wearables in Medicine.

Ali K Yetisen, Juan Leonardo Martinez-Hurtado, Barış Ünal, Ali Khademhosseini, Haider Butt

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 6 pooled it
–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

146 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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86 more citing papers are in PubMed but not listed here.

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.

Ali K YetisenInstitute for Measurement Systems and Sensor Technology, Technische Universität München, Theresienstrasse 90, Munich, 80333, Germany.ORCID http://orcid.org/0000-0003-0896-267X
Juan Leonardo Martinez-HurtadoTUM Incubator, Technische Universität München, Lichtenberg Str. 6, Garching b. München, D-85748, Germany.
Barış ÜnalTriton Systems Inc., 200 Turnpike Rd., Chelmsford, MA, 01824, USA.
Ali KhademhosseiniDepartment of Bioengineering, Department of Radiology, Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA, 90095, USA.
Haider ButtNanotechnology Laboratory, School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to help people pursue a healthier life style, but also provide continuous medical data for actively tracking metabolic status, diagnosis, and treatment. Advances in the miniaturization of flexible electronics, electrochemical biosensors, microfluidics, and artificial intelligence algorithms have led to wearable devices that can generate real-time medical data within the Internet of things. These flexible devices can be configured to make conformal contact with epidermal, ocular, intracochlear, and dental interfaces to collect biochemical or electrophysiological signals. This article discusses consumer trends in wearable electronics, commercial and emerging devices, and fabrication methods. It also reviews real-time monitoring of vital signs using biosensors, stimuli-responsive materials for drug delivery, and closed-loop theranostic systems. It covers future challenges in augmented, virtual, and mixed reality, communication modes, energy management, displays, conformity, and data safety. The development of patient-oriented wearable technologies and their incorporation in randomized clinical trials will facilitate the design of safe and effective approaches.

Indexed as

biosensorsdiagnosticsdrug deliverypersonalized medicinetelemedicine

Identifiers

PMID29893068
PMCPMC6541866

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.