Evidence map›Paper›PMID 32398161›Full record

ArticleBMC medical informatics and decision making2020

How stable is lung function in patients with stable chronic obstructive pulmonary disease when monitored using a telehealth system? A longitudinal and home-based study.

Åsa Holmner, Fredrik Öhberg, Urban Wiklund, Eva Bergmann, Anders Blomberg, Karin Wadell

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Is Disease Stability an Attainable Chronic Obstructive Pulmonary Disease Treatment Goal?American journal of respiratory and critical care medicine · 2025
    Review
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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

6 authors at 1 institution in 1 country.

Åsa HolmnerDepartment of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, Sweden.
Fredrik ÖhbergDepartment of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, Sweden.
Urban WiklundDepartment of Radiation Sciences, Biomedical Engineering, Umeå University, Umeå, Sweden.
Eva BergmannDepartment of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden.
Anders BlombergDepartment of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden.
Karin WadellDepartment of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden. karin.wadell@umu.se.ORCID 0000-0001-7334-8698
Umeå University · SE

Funding

Vetenskapsrådet K2014-99X-22572-01-4
6 · The paper itself

Abstract

backgroundMany telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung function data and what variations to expect in this group of individuals. The aim of the study was to evaluate the nature of individual diurnal, day-to-day and long-term variation in important prognostic markers of COPD exacerbations by employing a telehealth system developed in-house.

methodsEight women and five men with COPD performed measurements (spirometry, pulse oximetry and the COPD assessment test (CAT)) three times per week for 4-6 months using the telehealth system. Short-term and long-term individual variations were assessed using the relative density and weekly means respectively. Quality of the spirometry measurements (forced expiratory volume in one second (FEV

resultsClose to 1100 measurements of both FEV

conclusionsAlthough FEV

Indexed as

Pulmonary Disease, Chronic ObstructiveTelemedicineAgedDisease ProgressionFemaleHumansLungMaleMiddle AgedPatientsSpirometryCOPDExacerbationsHome-monitoringLong-term variationsSpirometryTelehealth

Identifiers

PMID32398161
PMCPMC7218552
OpenAlexW3027459174

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.