Evidence map›Paper›PMID 29504070›Full record

ReviewMedical & biological engineering & computing2018

Continuous remote monitoring of COPD patients-justification and explanation of the requirements and a survey of the available technologies.

Ivan Tomasic, Nikica Tomasic, Roman Trobec, Miroslav Krpan, Tomislav Kelava

Abstract readReview
In one paragraph

Review in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Differentiating the start of an exacerbation from day-to-day variation in people with COPD: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Interpretable machine learning models for COPD ease of breathing estimation.Medical & biological engineering & computing · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Digital health in chronic obstructive pulmonary disease.Chronic diseases and translational medicine · 2023
    Review
  20. 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

5 authors.

Ivan TomasicDivision of Intelligent Future Technologies, Mälardalen University, Högskoleplan 1, 72123, Västerås, Sweden. ivan.tomasic@mdh.se.ORCID http://orcid.org/0000-0002-0545-2335
Nikica TomasicDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Roman TrobecDepartment of Communication Systems, Jozef Stefan Institute, Ljubljana, Slovenia.
Miroslav KrpanDepartment of Cardiology, University Hospital Centre, Zagreb, Croatia.
Tomislav KelavaDepartment of Physiology, School of Medicine, University of Zagreb, Zagreb, Croatia.

Funding

KKS 20160029
6 · The paper itself

Abstract

Remote patient monitoring should reduce mortality rates, improve care, and reduce costs. We present an overview of the available technologies for the remote monitoring of chronic obstructive pulmonary disease (COPD) patients, together with the most important medical information regarding COPD in a language that is adapted for engineers. Our aim is to bridge the gap between the technical and medical worlds and to facilitate and motivate future research in the field. We also present a justification, motivation, and explanation of how to monitor the most important parameters for COPD patients, together with pointers for the challenges that remain. Additionally, we propose and justify the importance of electrocardiograms (ECGs) and the arterial carbon dioxide partial pressure (PaCO

Indexed as

Monitoring, PhysiologicTelemedicineElectrocardiographyHumansPulmonary Disease, Chronic ObstructiveChronic obstructive pulmonary diseaseCOPDDecision support in healthcareeHealthPatch ECGRemote patient monitoringTelehealthTelehealthcareTelemedicineTranscutaneous measurement

Identifiers

PMID29504070
PMCPMC5857273

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.