Evidence map›Paper›PMID 37719122›Full record

ArticlePeerJ2023

Evaluating field-goal shooting effectiveness in wheelchair basketball players across a competitive season: a preliminary study.

Valentina Cavedon, Marta Zecchini, Marco Sandri, Paola Zuccolotto, Caterina Biasiolo, Carlo Zancanaro, Chiara Milanese

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Valentina CavedonDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Marta ZecchiniDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Marco SandriBODaI-Lab, University of Brescia, Brescia, Italy.
Paola ZuccolottoBODaI-Lab, University of Brescia, Brescia, Italy.
Caterina BiasioloDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Carlo ZancanaroDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Chiara MilaneseDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
University of Verona · ITUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Information about non-elite wheelchair basketball (WB) players across national competitive seasons are still missing. This study aimed at identifying which situational-related variables were associated with shooting effectiveness in non-elite WB players. Methods: All the matches played by one WB team across one national competitive season were video-recorded and analysed; 333 shooting attempts from high-point players and several situational-related variables were considered. Results: Pearson's Chi-square test showed that increased shooting effectiveness under the following conditions: playing on home ground, during won matches, while taking shots with the wheelchair in motion, and when no opposing player raised their arm in defence. Results of the multivariable logistic regression analysis showed a statistically significant influence of match location (

Indexed as

BasketballWheelchairsAthletesGoalsHumansSeasonsAdapted sportHigh-point playersMatch analysisParalympic sportPerformance analysisWheelchair court sport

Identifiers

PMID37719122
PMCPMC10501366
OpenAlexW4386616342

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.