Evidence map›Paper›PMID 32140116›Full record

ArticleFrontiers in psychology2019

Pacing Strategy Affects the Sub-Elite Marathoner's Cardiac Drift and Performance.

Véronique Louise Billat, Florent Palacin, Matthieu Correa, Jean-Renaud Pycke

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Brain, Metabolic, and RPE Responses during a Free-Pace Marathon: A Preliminary Study.International journal of environmental research and public health · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Heart Rate Does Not Reflect the %VOInternational journal of environmental research and public health · 2022
    Article
  10. Article
  11. Oxygen Uptake Measurements and Rate of Perceived Exertion during a Marathon.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Race Analysis of the World's Best Female and Male Marathon Runners.International journal of environmental research and public health · 2020
    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

4 authors.

Véronique Louise BillatIEA 3625/Institut des Sciences du Sport/I3SP, Université de Paris, Paris, France.
Florent PalacinIEA 3625/Institut des Sciences du Sport/I3SP, Université de Paris, Paris, France.
Matthieu CorreaIEA 3625/Institut des Sciences du Sport/I3SP, Université de Paris, Paris, France.
Jean-Renaud PyckeIEA 3625/Institut des Sciences du Sport/I3SP, Université de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The question of cardiac strain arises when considering the emerging class of recreational runners whose running strategy could be a non-optimal running pace. Heart rate (HR) monitoring, which reflects exercise intensity and environmental factors, is often used for running strategies in marathons. However, it is difficult to obtain appropriate feedback for only the HR value since the cardiovascular drift (CV drift) occurs during prolonged exercise. The cardiac cost (CC: HR divided by running velocity) has been shown to be a potential index for evaluation of CV drift during the marathon race. We sought to establish the relationship between recreational marathoners' racing strategy, cardiac drift, and performance. We started with looking for a trend in the speed time series (by Kendall's non-parametric rank correlation coefficient) in 280 (2 h30-3 h40) marathoners. We distinguished two groups, with the one gathering the large majority of runners (

Indexed as

big dataenduranceKendallrunningStrava

Identifiers

PMID32140116
PMCPMC7043260

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.