Evidence map›Paper›PMID 33644751›Full record

ArticleFrontiers in sports and active living2021

Movement Patterns and Match Statistics in the National Rugby League Women's (NRLW) Premiership.

Tim Newans, Phillip Bellinger, Simon Buxton, Karlee Quinn, Clare Minahan

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Deriving Movement Categories in Rugby Sevens.European journal of sport science · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Upper-body isometric horizontal strength in game sport athletes.Frontiers in sports and active living · 2023
    Article
  6. Women's Rugby League: Positional Groups and Peak Locomotor Demands.Frontiers in sports and active living · 2021
    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

5 authors.

Tim NewansGriffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
Phillip BellingerGriffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
Simon BuxtonNational Rugby League, Sydney, NSW, Australia.
Karlee QuinnGriffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
Clare MinahanGriffith Sports Science, Griffith University, Gold Coast, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As women's rugby league grows, the need for understanding the movement patterns of the sport is essential for coaches and sports scientists. The aims of the present study were to quantify the position-specific demographics, technical match statistics, and movement patterns of the National Rugby League Women's (NRLW) Premiership and to identify whether there was a change in the intensity of play as a function of game time played. A retrospective observational study was conducted utilizing global positioning system, demographic, and match statistics collected from 117 players from all NRLW clubs across the full 2018 and 2019 seasons and were compared between the ten positions using generalized linear mixed models. The GPS data were separated into absolute (i.e., total distance, high-speed running distance, and acceleration load) and relative movement patterns (i.e., mean speed, mean high speed (> 12 km·h

Indexed as

external outputfemaleGPSload monitoringmatch demandsmixed model

Identifiers

PMID33644751
PMCPMC7904888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.