ArticlePulmonary medicine2013
Clinical usefulness of response profiles to rapidly incremental cardiopulmonary exercise testing.
Article in Pulmonary medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Efficacy and safety of inorganic nitrate/nitrite supplementary therapy in heart failure with preserved ejection fraction.Frontiers in cardiovascular medicine · 2023Pooled it
- Ventilatory efficiency: Physiological modelling and mechanistic validation.The Journal of physiology · 2026Article
- Exercise ventilatory efficiency in elite athletes assessed for the Paris 2024 Olympic Games: The effect of sex and sport categories.Physiological reports · 2025Article
- Comparable Ventilatory Inefficiency at Maximal and Submaximal Performance in COPD vs. CHF subjects: An Innovative Approach.Arquivos brasileiros de cardiologia · 2024Article
- Article
- A Systematic Approach for the Interpretation of Cardiopulmonary Exercise Testing in Children with Focus on Cardiovascular Diseases.Journal of cardiovascular development and disease · 2023Review
- A Machine Learning Model to Predict Cardiovascular Events during Exercise Evaluation in Patients with Coronary Heart Disease.Journal of clinical medicine · 2022Article
- Development and Validation of a Prediction Model for Cardiovascular Events in Exercise Assessment of Coronary Heart Disease Patients After Percutaneous Coronary Intervention.Frontiers in cardiovascular medicine · 2022Article
- Benefits of Home-Based Exercise Training Following Critical SARS-CoV-2 Infection: A Case Report.Frontiers in sports and active living · 2021Article
- Characterization of Cardiopulmonary Exercise Testing Variables in Patients with Endomyocardial Fibrosis after Endocardial Resection.Arquivos brasileiros de cardiologia · 2017Article
- Algorithm for Predicting Disease Likelihood From a Submaximal Exercise Test.Clinical medicine insights. Circulatory, respiratory and pulmonary medicine · 2017Article
- Streamlining cardiopulmonary exercise testing for use as a screening and tracking tool in primary care.Pulmonary circulationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of microprocessed "metabolic carts" and rapidly incremental protocols greatly expanded the clinical applications of cardiopulmonary exercise testing (CPET). The response normalcy to CPET is more commonly appreciated at discrete time points, for example, at the estimated lactate threshold and at peak exercise. Analysis of the response profiles of cardiopulmonary responses at submaximal exercise and recovery, however, might show abnormal physiologic functioning which would not be otherwise unraveled. Although this approach has long been advocated as a key element of the investigational strategy, it remains largely neglected in practice. The purpose of this paper, therefore, is to highlight the usefulness of selected submaximal metabolic, ventilatory, and cardiovascular variables in different clinical scenarios and patient populations. Special care is taken to physiologically justify their use to answer pertinent clinical questions and to the technical aspects that should be observed to improve responses' reproducibility and reliability. The most recent evidence in favor of (and against) these variables for diagnosis, impairment evaluation, and prognosis in systemic diseases is also critically discussed.
Identifiers
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Registered trials
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.