Evidence map›Paper›PMID 38943268›Full record

ArticleESC heart failure2024

Clusters of multidimensional exercise response patterns and estimated heart failure risk in the Framingham Heart Study.

Patricia E Miller, Priya Gajjar, Gary F Mitchell, Sadiya S Khan, Ramachandran S Vasan, Martin G Larson, Gregory D Lewis, Ravi V Shah, Matthew Nayor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Patricia E MillerDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Priya GajjarSection of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Gary F MitchellCardiovascular Engineering, Inc., Norwood, MA, USA.
Sadiya S KhanDivision of Cardiology, Department of Medicine and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Ramachandran S VasanBoston University's and NHLBI's Framingham Heart Study, Framingham, MA, USA.
Martin G LarsonDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Gregory D LewisDivision of Cardiology, Cardiovascular Research Center, and Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Ravi V ShahDivision of Cardiology, Vanderbilt Translational and Clinical Research Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Matthew NayorSection of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.ORCID 0000-0002-6993-9396

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
Proteomic Profiling of Precise Exercise Pathophenotypes Across the HFpEF SpectrumR01HL131029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Gregory Dyer Lewis, Matthew G. Nayor · 2016 to 2026
$7.7M
Metabolic Responses to an Oral Mixed Meal Tolerance Test: Intra-individual changes, correlates, and prognostic significanceR01HL156975 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NAYOR, MATTHEW G. · 2021 to 2025
$3.3M
Molecular markers of early cardiometabolic health transitions in the CARDIA studyR01HL136685 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURTHY, VENKATESH LOCHARLA, SHAH, RAVI · 2017 to 2021
$2.6M
American Heart Association 15GPSGC24800006Department of Medicine, Boston University School of MedicineNHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01-HC-25195NHLBI NIH HHS R01 HL131029NHLBI NIH HHS R01 HL136685NHLBI NIH HHS R01 HL156975NIH HHS R01-HL131029NIH HHS R01-HL136685NIH HHS R01-HL156975
6 · The paper itself

Abstract

aimsNew tools are needed to identify heart failure (HF) risk earlier in its course. We evaluated the association of multidimensional cardiopulmonary exercise testing (CPET) phenotypes with subclinical risk markers and predicted long-term HF risk in a large community-based cohort. METHODS AND

resultsWe studied 2532 Framingham Heart Study participants [age 53 ± 9 years, 52% women, body mass index (BMI) 28.0 ± 5.3 kg/m

conclusionsIntegrated CPET response patterns identify physiologically relevant profiles with distinct associations to subclinical phenotypes that are largely independent of standard risk factor-based assessment, which may suggest alternate pathways for prevention.

Indexed as

Exercise TestHeart FailureOxygen ConsumptionExercise ToleranceFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk AssessmentRisk FactorsExercise testingHeart failurePrevention

Identifiers

PMID38943268
PMCPMC11424363

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.