Evidence map›Paper›PMID 39398271›Full record

ArticleFrontiers in sports and active living2024

Relationship between the contact load and time-loss injuries in rugby union.

Yusuke Iwasaki, Yuki Someya, Masashi Nagao, Shojiro Nozu, Yuki Shiota, Yuji Takazawa

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

6 authors.

Yusuke IwasakiGraduate School of Health and Sports Science, Juntendo University, Chiba, Japan.
Yuki SomeyaGraduate School of Health and Sports Science, Juntendo University, Chiba, Japan.
Masashi NagaoDepartment of Sports Medicine, Juntendo University, Tokyo, Japan.
Shojiro NozuDepartment of Sports Medicine, Juntendo University, Tokyo, Japan.
Yuki ShiotaGraduate School of Health and Sports Science, Juntendo University, Chiba, Japan.
Yuji TakazawaGraduate School of Health and Sports Science, Juntendo University, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Quantifying and managing the matches and training loads of players is important for injury prevention. As rugby union is a full-contact sport and frequent contact injuries occur, it might also be important to quantify and manage players' contact loads. This study aimed to clarify the relationship between contact load and injury incidence in elite rugby union players. Methods: Forty-eight elite rugby union players (27.0 ± 3.5 years) in Japan were monitored during one season (8 months). The contact load, an index of training load, was evaluated as collision count and collision load measured using a global positioning system device, and then calculated using the acute:chronic workload ratio (ACWR) based on the exponentially weighted moving average (EWMA). The association between the EWMA-ACWR of contact load and injury incidence was analyzed using generalized estimating equations. Results: Of the 58 injuries during one season, 70.7% were contact injuries. Collision counts and collision load calculated by EWMA-ACWR were associated with the risk of injury ( Conclusion: Contact load calculated using EWMA-ACWR was associated with injury in elite rugby union players.

Indexed as

acute: chronic workload ratiocontact sportsexponentially weighted moving averageGPSinjurymonitoring

Identifiers

PMID39398271
PMCPMC11466806

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.