Evidence mapPaperPMID 40909206Full record

ReviewNPJ cardiovascular health2025

A guide to consumer-grade wearables in cardiovascular clinical care and population health for non-experts.

Alexandra Jamieson, Timothy J A Chico, Siana Jones, Nishi Chaturvedi, Alun D Hughes, Michele Orini

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. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Vascular waveform analysis using Bayesian pulse deconvolution.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Alexandra JamiesonUnit for Lifelong Health and Ageing, UCL, London, UK.
Timothy J A ChicoDepartment of Infection, Immunity and Cardiovascular Disease Medical School, University of Sheffield, Sheffield, UK.
Siana JonesUnit for Lifelong Health and Ageing, UCL, London, UK.
Nishi ChaturvediUnit for Lifelong Health and Ageing, UCL, London, UK.
Alun D HughesUnit for Lifelong Health and Ageing, UCL, London, UK.
Michele OriniUnit for Lifelong Health and Ageing, UCL, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Consumer-grade wearables provide an opportunity to understand public health trends, develop risk stratification tools and monitor interventions. This review introduces the most common wearable sensors and describes the health parameters that can be measured using them. We highlight research into the validity and accuracy of these measurements and practical considerations for the use of wearable data. Finally, we provide future perspectives on wearables in cardiovascular clinical practice and population health research.

Indexed as

Cardiovascular diseasesHealth care

Identifiers

PMID40909206
PMCPMC12404996

What Socratic 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 Socratic graph.