Evidence map›Paper›PMID 40248215›Full record

ArticlePulmonary circulation2025

Physical Activity, Sleep, and Quality of Life in Pulmonary Arterial Hypertension: Novel Insights From Wearable Devices.

Andrew M Hughes, Alisha Lindsey, Jeffrey Annis, Kelly Burke, Hiral Master, Luke G Silverman-Lloyd, Jonah D Garry, Michael J Blaha, Erika S Berman Rosenzweig, Robert P Frantz and 10 more

Abstract read
In one paragraph

Article in Pulmonary circulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

20 authors.

Andrew M HughesDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.ORCID 0000-0002-9592-5916
Alisha LindseyDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.
Jeffrey AnnisVanderbilt Institute for Clinical and Translational Research Vanderbilt University Medical Center Nashville Tennessee USA.
Kelly BurkeDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.
Hiral MasterVanderbilt Institute for Clinical and Translational Research Vanderbilt University Medical Center Nashville Tennessee USA.
Luke G Silverman-LloydDepartment of Family Medicine University of California San Francisco San Francisco California USA.
Jonah D GarryDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.ORCID 0000-0001-9140-1632
Michael J BlahaDepartment of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.
Erika S Berman RosenzweigDepartment of Medicine Columbia Presbyterian Medical Center New York New York USA.
Robert P FrantzDepartment of Cardiovascular Medicine Mayo Clinic Rochester Minnesota USA.
Paul M HassounDepartment of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.
Evelyn M HornDepartment of Medicine Weill Cornell Medical College New York New York USA.
Jane A LeopoldDepartment of Medicine Brigham and Women's Hospital Boston Massachusetts USA.
Franz P RischardDepartment of Medicine University of Arizona Tucson Arizona USA.
Brett LariveDepartment of Quantitative Health Sciences Cleveland Clinic Foundation Cleveland Ohio USA.
Nicholas S HillDepartment of Medicine Tufts University School of Medicine Boston Massachusetts USA.
Serpil C ErzurumDepartment of Cardiovascular & Metabolic Sciences Lerner Research Institute, Cleveland Clinic Cleveland Ohio USA.
Gerald J BeckDepartment of Quantitative Health Sciences Cleveland Clinic Foundation Cleveland Ohio USA.
Anna R HemnesDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.ORCID 0000-0002-2755-5845
Evan L BrittainDepartment of Medicine Vanderbilt University Medical Center Nashville Tennessee USA.

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
FDA HHS R01 FD007627NHLBI NIH HHS R21 HL172038NHLBI NIH HHS R33 HL158941NHLBI NIH HHS R34 HL173389NHLBI NIH HHS R38 HL167237NHLBI NIH HHS R61 HL158941NHLBI NIH HHS U01 HL125175NHLBI NIH HHS U01 HL125177NHLBI NIH HHS U01 HL125205NHLBI NIH HHS U01 HL125208NHLBI NIH HHS U01 HL125212NHLBI NIH HHS U01 HL125215NHLBI NIH HHS U01 HL125218NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196
6 · The paper itself

Abstract

Reduced functional capacity and poor sleep quality are common in pulmonary arterial hypertension (PAH). Wearable devices are an emerging, user-friendly tool to capture activity and sleep information. We aimed to determine whether Fitbit-derived activity and sleep trends provide clinically meaningful information in patients with PAH. Our prospective observational study recruited patients with PAH from across the United States using remote enrollment strategies and in-person efforts. Participants wore a Fitbit device for 12 weeks at baseline and a subgroup with 1-year follow-up. A matched control cohort was generated from the

Indexed as

mobile health technologyphysical activityquality of lifesleepwearables

Identifiers

PMID40248215
PMCPMC12003557

What OpenQuestion holds

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LicenceCC BY-NC
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.