Evidence map›Paper›PMID 35471689›Full record

ReviewPulmonary therapy2022

The Current and Future Role of Technology in Respiratory Care.

Persijn Honkoop, Omar Usmani, Matteo Bonini

Open access · goldAbstract readReview
In one paragraph

Review in Pulmonary therapy, 2022. 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
9.2field-weighted citation impact, top 2% 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, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Artificial intelligence in respiratory care.Frontiers in digital health · 2024
    Review
  10. Article
  11. Article
  12. Mobile Health for Asthma.CHEST pulmonary · 2023
    Review
  13. Inhaler Adherence in COPD: A Crucial Step Towards the Correct Treatment.International journal of chronic obstructive pulmonary disease · 2023
    Review
  14. Article
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 3 institutions in 3 countries.

Persijn HonkoopDept of Biomedical Data Sciences, Section of Medical Decision Making, Leiden University Medical Centre, Leiden, The Netherlands.
Omar UsmaniNational Heart and Lung Institute (NHLI), Imperial College London, Guy Scadding Building, Dovehouse Street, London, SW3 6LY, UK. o.usmani@imperial.ac.uk.
Matteo BoniniNational Heart and Lung Institute (NHLI), Imperial College London, Guy Scadding Building, Dovehouse Street, London, SW3 6LY, UK.
Imperial College London · GBIstituti di Ricovero e Cura a Carattere Scientifico · ITLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past few decades, technology and improvements in artificial intelligence have dramatically changed major sectors of our day-to-day lives, including the field of healthcare. E-health includes a wide range of subdomains, such as wearables, smart-inhalers, portable electronic spirometers, digital stethoscopes, and clinical decision support systems. E-health has been consistently shown to enhance the quality of care, improve adherence to therapy, and allow early detection of worsening in chronic pulmonary diseases. The present review addresses the current and potential future role of major e-health tools and approaches in respiratory medicine, with the aim of providing readers with trustful and updated evidence to increase their awareness of the topic, and to allow them to optimally benefit from the latest innovation technology. Collected literature evidence shows that the potential of technology tools in respiratory medicine mainly relies on three fundamental interactions: between clinicians, between clinician and patient, and between patient and health technology. However, it would be desirable to establish widely agreed and adopted standards for conducting trials and reporting results in this area, as well as to take into proper consideration potentially relevant pitfalls related to privacy protection and compliance with regulatory procedures.

Indexed as

Artificial intelligenceDigitalSmart-inhalerTechnologyTelemedicine

Identifiers

PMID35471689
PMCPMC9039604
OpenAlexW4224947573

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.