Evidence map›Paper›PMID 40913731›Full record

ReviewCurrent cardiology reports2025

VO

Hesham M Abdalla, Luke Dreher, Hunter VanDolah, Adam Bacon, Mohammed El-Nayir, Mahmoud Abdelnabi, Ramzi Ibrahim, Hoang Nhat Pham, George Bcharah, Girish Pathangey and 5 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

15 authors.

Hesham M AbdallaDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Luke DreherDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Hunter VanDolahDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Adam BaconDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Mohammed El-NayirDepartment of Internal Medicine, Trinity Health, Ann Arbor, MI, USA.
Mahmoud AbdelnabiDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA. abdelnabi.mahmoud@mayo.edu.
Ramzi IbrahimDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.
Hoang Nhat PhamDepartment of Medicine, University of Arizona, Tucson, AZ, USA.
George BcharahDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Girish PathangeyDepartment of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA.
Courtney Wheatley-GuyDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.
Satyajit ReddyDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.
Juan FarinaDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.
Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewVO₂ max is a fundamental marker of cardiorespiratory fitness with substantial prognostic and diagnostic value within the field of cardiology. This review analyzes current and emerging evidence regarding its clinical uses, highlights key evidence gaps, and explores emerging developments poised to broaden its clinical application. RECENT

findingsEvidence supports VO2 max as a powerful independent predictor for heart failure, coronary artery disease, hypertrophic cardiomyopathy, and cardiac amyloidosis, supporting it use in identifying high-risk patients for advanced interventions. Recent developments including the integration of machine learning and wearable devices can facilitate accurate VO2 estimation in routine clinical practice without the necessity of specialized diagnostic tools. Despite its robust diagnostic and prognostic value, VO₂ max assessment remains underutilized in routine cardiovascular care, primarily due to the need for specialized equipment and personnel. Future research should explore emerging technological innovations for VO2 max estimation and the development of evidence-based protocols to support its broader clinical implementation for improved cardiovascular outcomes.

Indexed as

CardiologyCardiorespiratory FitnessCardiovascular DiseasesOxygen ConsumptionCoronary Artery DiseaseEvidence GapsExercise TestHeart FailureHumansPrognosisCardiopulmonary exercise testingCardiorespiratory fitnessCardiovascular risk stratificationMachine learning in cardiologyVO₂ maxWearable health technology

Identifiers

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.