Evidence map›Paper›PMID 38496329›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2024

Estimating maximum work rate during cardiopulmonary exercise testing from the six-minute walk distance in patients with heart failure.

Giancarlo Piaggi, Mara Paneroni, Roberto Maestri, Elisabetta Salvioni, Ugo Corrà, Angelo Caporotondi, Simonetta Scalvini, Piergiuseppe Agostoni, Maria Teresa La Rovere

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 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
3.6field-weighted citation impact, top 9% of its field
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, 5 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Giancarlo PiaggiIstituti Clinici Scientifici Maugeri IRCCS, Respiratory and Cardiac Rehabilitation of the Institute of Montescano, Pavia, Italy.
Mara PaneroniIstituti Clinici Scientifici Maugeri IRCCS, Cardio-Respiratory Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Roberto MaestriIstituti Clinici Scientifici Maugeri IRCCS, Department of Biomedical Engineering of the Institute of Montescano, Pavia, Italy.
Elisabetta SalvioniCentro Cardiologico Monzino IRCCS, Milan, Italy.
Ugo CorràIstituti Clinici Scientifici Maugeri IRCCS, Department of Cardiac Rehabilitation of the Institute of Veruno, Novara, Italy.
Angelo CaporotondiIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Montescano, Pavia, Italy.
Simonetta ScalviniIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Piergiuseppe AgostoniCentro Cardiologico Monzino IRCCS, Milan, Italy.
Maria Teresa La RovereIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Montescano, Pavia, Italy.
Istituti Clinici Scientifici Maugeri · ITCentro Cardiologico Monzino · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exercise is recommended for patients with chronic heart failure (CHF) and its intensity is usually set as a percentage of the maximal work rate (MWR) during cardiopulmonary exercise testing (CPX) or a symptom-limited incremental test (SLIT). As these tests are not always available in cardiac rehabilitation due to logistic/cost constraints, we aimed to develop a predictive model to estimate MWR at CPX (estMWR@CPX) in CHF patients using anthropometric and clinical measures and the 6-min walk test (6 MWT), the most widely used exercise field test. Methods: This is a multicentre cross-sectional retrospective study in a cardiac rehabilitation setting. Six hundred patients with HF in New York Heart Association (NYHA) functional class I-III underwent both CPX and 6 MWT and, Results: The best model included 6 MWT, sex, age, weight, NYHA class, left ventricular ejection fraction (LVEF), smoking status and chronic obstructive pulmonary disease COPD (adjusted R Conclusions: Our results showed a lack of accuracy in the predictive model evaluated; therefore, for an accurate prescription of cycle-ergometer exercise training, it is necessary to assess MWR by CPX or SLIT.

Indexed as

6-Min walking testCardiopulmonary exercise testingChronic heart failure

Identifiers

PMID38496329
PMCPMC10943044
OpenAlexW4391899719

What OpenQuestion holds

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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 OpenQuestion graph.