Evidence map›Paper›PMID 26852680›Full record

ReviewDiagnostics (Basel, Switzerland)2014

Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management.

Sandeep Kumar Vashist, E Marion Schneider, John H T Luong

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 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.

NCT03516474 unknown statusnot on this mapstarted 2018, after this paper: background citation

Minimally Disruptive Medicine: Reducing Treatment Burden and Improving Access for All Patients With Diabetes Using an mHealth Strategy

TypeobservationalSponsorUnity Health TorontoRan2018 to 2019Enrolled400ConditionsDiabetic FootArmsMIMOSA Diagnostics
NCT03516864 unknown statusnot on this mapstarted 2018, after this paper: background citation

Assessment of Tissue Oxygenation Using Multispectral Imaging

TypeobservationalSponsorUnity Health TorontoRan2018 to 2019Enrolled12ConditionsDiabetes MellitusArmsMIMOSA Imager, Kent Camera
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Saliva assay: a call for methodological standardization.Journal of periodontal & implant science · 2025
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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.

Sandeep Kumar VashistHSG-IMIT-Institut für Mikro-und Informationstechnik, Georges-Koehler-Allee 103, 79100 Freiburg, Germany. sandeep.kumar.vashist@hsg-imit.de.
E Marion SchneiderSektion Experimentelle Anaesthesiologie, University Hospital Ulm, Albert Einstein Allee 23,89081 Ulm, Germany. marion.schneider@uniklinik-ulm.de.
John H T LuongInnovative Chromatography Group, Irish Separation Science Cluster (ISSC), Department of Chemistry and Analytical, Biological Chemistry Research Facility (ABCRF), University College Cork, Cork, Ireland. j.luong@ucc.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone-based devices and applications (SBDAs) with cost effectiveness and remote sensing are the most promising and effective means of delivering mobile healthcare (mHealthcare). Several SBDAs have been commercialized for the personalized monitoring and/or management of basic physiological parameters, such as blood pressure, weight, body analysis, pulse rate, electrocardiograph, blood glucose, blood glucose saturation, sleeping and physical activity. With advances in Bluetooth technology, software, cloud computing and remote sensing, SBDAs provide real-time on-site analysis and telemedicine opportunities in remote areas. This scenario is of utmost importance for developing countries, where the number of smartphone users is about 70% of 6.8 billion cell phone subscribers worldwide with limited access to basic healthcare service. The technology platform facilitates patient-doctor communication and the patients to effectively manage and keep track of their medical conditions. Besides tremendous healthcare cost savings, SBDAs are very critical for the monitoring and effective management of emerging epidemics and food contamination outbreaks. The next decade will witness pioneering advances and increasing applications of SBDAs in this exponentially growing field of mHealthcare. This article provides a critical review of commercial SBDAs that are being widely used for personalized healthcare monitoring and management.

Indexed as

devicesmobile healthcarepersonalized healthcaresmart applicationssmartphone

Identifiers

PMID26852680
PMCPMC4665560

What OpenQuestion holds

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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.