Evidence map›Paper›PMID 37265613›Full record

ArticleHeliyon2023

Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union players.

Xiaopan Hu, Noe Thierry Baba, Kilian Philippe, Danyang Jiang, Simon Boisbluche, Olivier Maurelli, Jacques Prioux

RetractedAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xiaopan HuSino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China.
Noe Thierry BabaDepartment of Physical Education and Sport Science, University of Limerick, V94 XD21 Limerick, Ireland.
Kilian PhilippeMovement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France.
Danyang JiangErsha Sports Training Center of Guangdong Province, 510105 Guangdong, China.
Simon BoisblucheRugby Club Vannes, French Rugby Federation, 56000 Vannes, France.
Olivier MaurelliMuscle Dynamics and Metabolism Laboratory, University of Montpellier, 34060 Montpellier, France.
Jacques PriouxSino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have examined the impact of a preseason training intervention through systematic measures in Pro D2 rugby union (RU). Therefore, this study aimed to describe the effects of 12 weeks of preseason training (three blocks) on body composition, running performance, biochemical markers, and workload (WL) variation in professional RU players. Physiological (physical and biochemical) responses to preseason WL were analyzed by examining changes in anthropometric characteristics, Yo-Yo intermittent recovery level 1 (Yo-Yo IR1) test, blood samples (BS), Hooper index (1-7), the 10-Hz global positioning system (GPS), and session rating of perceived exertion (s-RPE) in nineteen elite male players. Changes throughout the preseason were analyzed using the one-way and mixed-model analysis of variance. Significant (

Indexed as

Blood samplingGPSPositional differences-RPEYo-Yo test

Identifiers

PMID37265613
PMCPMC10230214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.