What's the best way to leverage 31 million days of ECG data?

L S Johnson, S Z Diederichsen, E Svennberg, S P Bhavnani, William F McIntyre, J S Healey

Abstract readReview

In one paragraph

Review in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

L S JohnsonDepartment of Clinical Sciences, Lund University, Malmö, Sweden. linda.johnson@med.lu.se.

S Z DiederichsenDepartment of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.

E SvennbergKarolinska Institutet, Department of Medicine Huddinge, Karolinska University Hospital, Stockholm, Sweden.

S P BhavnaniDivision of Cardiology, Scripps Clinic, San Diego, CA, USA.

William F McIntyrePopulation Health Research Institute, McMaster University, Hamilton, ON, Canada.

J S HealeyPopulation Health Research Institute, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartwatches with pulse-plethysmography sensors capable of detecting irregular rhythms, potentially atrial fibrillation (AF), are increasingly common. Their sensitivity for AF detection in different populations is unknown. If ambulatory ECG monitoring were to be offered to all individuals with notifications this would generate vast amounts of ECG data to analyse. This perspective discusses smartwatch sensitivity for actionable AF, resource utilization to optimize stroke prevention, and suggests alternate ways to manage notifications.

Identifiers

PMID41775909

DOI10.1038/s44325-025-00097-z

PMCPMC12912384

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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.