Evidence map›Paper›PMID 36251353›Full record

ArticleJMIR cardio2022

Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium.

Bart Scheenstra, Anke Bruninx, Florian van Daalen, Nina Stahl, Elizabeth Latuapon, Maike Imkamp, Lianne Ippel, Sulaika Duijsings-Mahangi, Djura Smits, David Townend and 7 more

Abstract read
In one paragraph

Article in JMIR cardio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

17 authors.

Bart ScheenstraDepartment of Cardiothoracic Surgery, Maastricht University Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0001-5778-2574
Anke BruninxDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht university Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-5916-8735
Florian van DaalenDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht university Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-2229-8587
Nina StahlDepartment of Health, Ethics and Society, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-8141-4218
Elizabeth LatuaponDepartment of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-6327-9702
Maike ImkampDepartment of Data Science and Knowledge Engeneering, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-3581-7948
Lianne IppelStatistics Netherlands, Heerlen, Netherlands.ORCID https://orcid.org/0000-0001-8314-0305
Sulaika Duijsings-MahangiStatistics Netherlands, Heerlen, Netherlands.ORCID https://orcid.org/0000-0003-0355-3789
Djura SmitsThe Netherlands eScience Center, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0003-4096-0260
David TownendDepartment of Health, Ethics and Society, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-2409-0288
Inigo BermejoDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht university Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0001-9105-8088
Andre DekkerDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht university Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-0422-7996
Laura HochstenbachCare and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0003-2854-1055
Marieke SpreeuwenbergDepartment of Health Services Research, Maastricht University, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-5798-0041
Jos MaessenDepartment of Cardiothoracic Surgery, Maastricht University Medical Center+, Maastricht, Netherlands.ORCID https://orcid.org/0000-0003-3230-7712
Arnoud van 't HofCardiovascular Research Institute Maastricht, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-2344-7564
Bas KietselaerCardiovascular Research Institute Maastricht, Maastricht, Netherlands.ORCID https://orcid.org/0000-0002-0096-8594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health is a promising tool to support people with an elevated risk for atherosclerotic cardiovascular disease (ASCVD) and patients with an established disease to improve cardiovascular outcomes. Many digital health initiatives have been developed and employed. However, barriers to their large-scale implementation have remained. This paper focuses on these barriers and presents solutions as proposed by the Dutch CARRIER (ie, Coronary ARtery disease: Risk estimations and Interventions for prevention and EaRly detection) consortium. We will focus in 4 sections on the following: (1) the development process of an eHealth solution that will include design thinking and cocreation with relevant stakeholders; (2) the modeling approach for two clinical prediction models (CPMs) to identify people at risk of developing ASCVD and to guide interventions; (3) description of a federated data infrastructure to train the CPMs and to provide the eHealth solution with relevant data; and (4) discussion of an ethical and legal framework for responsible data handling in health care. The Dutch CARRIER consortium consists of a collaboration between experts in the fields of eHealth development, ASCVD, public health, big data, as well as ethics and law. The consortium focuses on reducing the burden of ASCVD. We believe the future of health care is data driven and supported by digital health. Therefore, we hope that our research will not only facilitate CARRIER consortium but may also facilitate other future health care initiatives.

Indexed as

ASCVDatherosclerotic cardiovascular diseasebig datacardiovascular risk managementclinical prediction modelsCVRMdigital HealtheHealthfederated data infrastructurepersonalized e-coach

Identifiers

PMID36251353
PMCPMC9623459

What OpenQuestion holds

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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.