Evidence map›Paper›PMID 38152081›Full record

ArticleERJ open research2023

Using an electronic diary and wristband accelerometer to detect exacerbations and activity levels in COPD: a feasibility study.

Lydia J Finney, Stefan Avey, Dexter Wiseman, Anthony Rowe, Matthew J Loza, Patrick Branigan, Christopher S Stevenson, Frédéric Baribaud, Jadwiga A Wedzicha, Ioannis Pandis and 1 more

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 2 institutions in 2 countries.

Lydia J FinneyNational Heart and Lung Institute, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-2226-9513
Stefan AveyJanssen R&D, Spring House, PA, USA.
Dexter WisemanNational Heart and Lung Institute, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-6398-7450
Anthony RoweJanssen R&D, Spring House, PA, USA.
Matthew J LozaJanssen R&D, Spring House, PA, USA.
Patrick BraniganJanssen R&D, Spring House, PA, USA.
Christopher S StevensonJanssen R&D, Spring House, PA, USA.
Frédéric BaribaudJanssen R&D, Spring House, PA, USA.
Jadwiga A WedzichaNational Heart and Lung Institute, Imperial College London, London, UK.
Ioannis PandisJanssen R&D, Spring House, PA, USA.
Gavin C DonaldsonNational Heart and Lung Institute, Imperial College London, London, UK.
Janssen (United States) · USImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early and accurate identification of acute exacerbations of COPD may lead to earlier treatment and prevent hospital admission. Electronic diaries have been developed for symptom monitoring and accelerometers to monitor activity. However, it is unclear whether this technology is usable in the COPD population. This study aimed to assess the feasibility of an electronic diary (eDiary) for symptom reporting using the MoreCare app and activity monitoring with the Garmin Vivofit 2 in COPD. Methods: Participants were recruited from the London COPD Cohort. Participants were provided a Garmin Vivofit 2 activity monitor and an android tablet with the MoreCare app for a period of 3 months. Results: 25 COPD patients were recruited (mean±sd age 70.8±7.1 years, forced expiratory volume in 1 s (FEV Conclusions: Symptom and activity monitoring using digital technology is feasible in COPD. Further large-scale digital health studies are needed to assess whether eDiaries can be used to identify patients at risk of exacerbation and guide early intervention.

Identifiers

PMID38152081
PMCPMC10752267
OpenAlexW4389180853

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.