Evidence map›Paper›PMID 42718805›Full record

ArticleFrontiers in digital health2026

Photoplethysmography acceleration indices as digital biomarkers of cardiometabolic health.

Gianluca Diana, Corin F Otesteanu, Francesco Scardulla, Salvatore Pasta, Leonardo D'Acquisto, Carlo Menon

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. 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.

Gianluca DianaDepartment of Engineering, University of Palermo, Palermo, Italy.
Corin F OtesteanuBiomedical and Mobile Health Technology Lab, ETH Zürich, Zürich, Switzerland.
Francesco ScardullaDepartment of Engineering, University of Palermo, Palermo, Italy.
Salvatore PastaDepartment of Engineering, University of Palermo, Palermo, Italy.
Leonardo D'AcquistoDepartment of Engineering, University of Palermo, Palermo, Italy.
Carlo MenonBiomedical and Mobile Health Technology Lab, ETH Zürich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive monitoring of cardiovascular health is critical for early detection of dysfunction. Photoplethysmography (PPG) is already widely used in wearable devices to track cardiovascular signals, such as heart rate and pulse wave characteristics. The second derivative of the PPG signal, known as the accelerated plethysmogram (APG), provides indices reflecting arterial stiffness and vascular aging. Despite their potential as digital biomarkers, systematic comparisons across clinical populations are limited. In this cross-sectional study, four APG-derived indices (b/a, c/a, d/a, AGI) were analyzed in 133 participants: healthy individuals (

Indexed as

acceleration plethysmogram (APG)diabeteshypertensionoptical sensorsphotoplethysmography (PPG)signal processingvascular agingwearable devices

Identifiers

PMID42718805
PMCPMC13553940

What Socratic holds

Textmetadata
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.