Evidence map›Paper›PMID 42140495›Full record

ReviewClinical medicine (London, England)2026

Wearable devices in the management of hypertension: Navigating the intersection between digital advancement and evidence-based practice.

Abubaker Eltayeb, Ayesha Ahmed, Ajay Gupta

Abstract readReview
In one paragraph

Review in Clinical medicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Abubaker EltayebWilliam Harvey Heart Centre, Queen Mary University of London, EC14JN London, UK. Electronic address: A.eltayeb@qmul.ac.uk.
Ayesha AhmedWilliam Harvey Heart Centre, Queen Mary University of London, EC14JN London, UK. Electronic address: Ayesha.ahmed@qmul.ac.uk.
Ajay GuptaWilliam Harvey Heart Centre, Queen Mary University of London, EC14JN London, UK. Electronic address: Ajay.gupta@qmul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension remains the leading cause of premature mortality. Its effective management is hindered by sub-optimal monitoring from intermittent measurement of blood pressure, which often lacks important prognostic data such as patterns of blood pressure variability. This article provides a summary of the technologies used in wearable devices, an evaluation of their emerging role in the management of hypertension, and current challenges to their utility. Unlike traditional cuff-based devices, cuffless technology utilises range of sensors and physiological principles, including peripheral pulse wave characteristics and photoplethysmography, together with algorithms to estimate blood pressure. Cuffless devices are unobtrusive and can be worn continuously, providing longer-term data. As such, they can bridge gaps in identifying and monitoring high-risk hypertension profiles, sleep periods data, dipping status and blood pressure variability, which can guide individualised clinical decision making. However, due to rapid innovation and technological heterogeneity and associated lack of appropriate validation frameworks, there remain significant concerns on the accuracy and reliability of cuffless wearables for clinical use. Despite their potential and market availability, professional society guidelines do not recommend the use of cuffless devices for clinical decision making until more robust and complete real-world evidence is available.

Indexed as

Blood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryEvidence-Based PracticeHypertensionWearable Electronic DevicesBlood PressureDigital HealthHumansBlood pressure variabilityCardiovascular mortalityCuffless devicesHypertensionValidation

Identifiers

PMID42140495
PMCPMC13254584

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Registered trials

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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.