Evidence map›Paper›PMID 32665977›Full record

ArticleNPJ digital medicine2020

Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease.

Charlotte Schubert, Gareth Archer, Jo M Zelis, Sarah Nordmeyer, Kilian Runte, Anja Hennemuth, Felix Berger, Volkmar Falk, Pim A L Tonino, Rod Hose and 3 more

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Rethinking Measurement of Movement-Evoked Pain with Digital Technology.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Article
  13. [Artificial intelligence in wearable electrocardiogram monitoring].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  14. Inertial Sensor Algorithm to Estimate Walk Distance.Sensors (Basel, Switzerland) · 2022
    Article
  15. Article
  16. 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

13 authors at 6 institutions in 4 countries.

Charlotte SchubertInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-2885-8055
Gareth ArcherCardiothoracic Centre, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, S5 7AT UK.
Jo M ZelisDepartment of Cardiology, Catharina Hospital Eindhoven, 5602 ZA Eindhoven, The Netherlands.ORCID 0000-0003-2110-4901
Sarah NordmeyerInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Kilian RunteInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Anja HennemuthInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0002-0737-7375
Felix BergerDepartment of Congenital Heart Disease, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany.ORCID 0000-0001-7881-1557
Volkmar FalkDZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany.ORCID 0000-0002-7911-8620
Pim A L ToninoDepartment of Cardiology, Catharina Hospital Eindhoven, 5602 ZA Eindhoven, The Netherlands.
Rod HoseCardiothoracic Centre, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, S5 7AT UK.
Herman Ter HorstDepartment of Chronic Disease Management, Philips Electronics Nederland B.V., 5656 AE Eindhoven, The Netherlands.
Titus KuehneInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0003-1631-4824
Marcus KelmInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0003-4971-0452
Deutsches Herzzentrum der Charité · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DERadboud University Nijmegen · NLSheffield Teaching Hospitals NHS Foundation Trust · GBGerman Centre for Cardiovascular Research · DENXP (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of

Indexed as

DiagnosisValvular disease

Identifiers

PMID32665977
PMCPMC7347580
OpenAlexW3041505820

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.