Evidence map›Paper›PMID 34504682›Full record

ReviewClinical and translational allergy2021

The applications of eHealth technologies in the management of asthma and allergic diseases.

Alberto Alvarez-Perea, Ves Dimov, Florin-Dan Popescu, José Manuel Zubeldia

Abstract readReview
In one paragraph

Review in Clinical and translational allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Preparing Allergists to Practice in 2050 Using Artificial Intelligence.The journal of allergy and clinical immunology. In practice · 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

4 authors.

Alberto Alvarez-PereaAllergy Service Hospital General Universitario Gregorio Marañón Madrid Spain.ORCID https://orcid.org/0000-0001-7417-7309
Ves DimovCleveland Clinic Florida FAU Charles E. Schmidt College of Medicine Weston Florida USA.
Florin-Dan PopescuDepartment of Allergology 'Nicolae Malaxa' Clinical Hospital 'Carol Davila' University of Medicine and Pharmacy Bucharest Romania.
José Manuel ZubeldiaAllergy Service Hospital General Universitario Gregorio Marañón Madrid Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Portable devices, such as smartphones and mobile Internet access have become ubiquitous in the last decades. The term 'eHealth' stands for electronic health. The tools included in the eHealth concept utilize phones, computers and the Internet and related applications to improve the health care industry. Implementation of eHealth technologies has been documented for the management of different chronic diseases, including asthma and allergic conditions. Clinicians and patients have gained opportunity to communicate in new ways, which could be used cost-effectively to improve disease control and quality of life of those affected. Additionally, these innovations bring new opportunities to academic researchers. For example, eHealth has allowed researchers to compile data points that were previously unavailable or difficult to access, and analyse them using novel tools, collectively described as 'big data'. The role of eHealth become more important since early 2020, due to the physical distancing rules and the restrictions on mobility that have been applied worldwide as a response to the coronavirus disease 2019 pandemic. In this review, we summarize the most recent developments in various eHealth platforms and their relevance to the speciality of allergy and immunology, from the point of view of three major stakeholders: clinicians, patients and researchers.

Indexed as

big dataeHealthmHealthsocial mediatelemedicine

Identifiers

PMID34504682
PMCPMC8420996

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.