Evidence map›Paper›PMID 41631189›Full record

ArticleAmerican heart journal plus : cardiology research and practice2026

Digital phenotyping and ASCVD risk: An exploratory cross-sectional analysis using online behavioral data.

Lauren Southwick, Neil K R Sehgal, Dena Torrente, Veronica Murgulescu, Devon Schroeder, David A Asch, Lyle Ungar, Nandita Mitra, Peter Groenveld, Stephen E Kimmel and 3 more

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in American heart journal plus : cardiology research and practice, 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

13 authors.

Lauren SouthwickDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Neil K R SehgalLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Dena TorrenteDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Veronica MurgulescuDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Devon SchroederDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
David A AschLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Lyle UngarLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Nandita MitraDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Peter GroenveldComputer and Information Science Department, University of Pennsylvania School of Engineering, Philadelphia, PA, USA.
Stephen E KimmelDepartment of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, USA.
Gary E WeissmanPenn Medicine Center for Health Care Transformation and Innovation, University of Pennsylvania, Philadelphia, PA, USA.
Sharath Chandra GuntukuPenn Medicine Center for Health Care Transformation and Innovation, University of Pennsylvania, Philadelphia, PA, USA.
Raina M MerchantDepartment of Emergency Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A retrospective, exploratory cross-sectional analysis exploring whether social media data is associated with cardiovascular disease (CVD) risk beyond traditional clinical models. While social media data may capture behavioral and social markers relevant to CVD, their associations with CVD risk remains uncertain.

Indexed as

Cardiovascular healthDigital dataSocial media

Identifiers

PMID41631189
PMCPMC12860993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.