Evidence map›Paper›PMID 33679556›Full record

ArticleFrontiers in psychology2021

Influence of Match Congestion on Performances in the National Basketball Association.

Jianzhe Yang, Chao Wu, Changjing Zhou, Shaoliang Zhang, Anthony S Leicht, Miguel-Ángel Gomez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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 at 6 institutions in 3 countries.

Jianzhe YangDepartment of Physical Education, Hohai University, Changzhou, China.
Chao WuDepartment of Physical Education, University of International Business and Economics, Beijing, China.
Changjing ZhouSchool of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China.
Shaoliang ZhangDivision of Sport Science and Physical Education, Tsinghua University, Beijing, China.
Anthony S LeichtSport and Exercise Science, James Cook University, Townsville, QLD, Australia.
Miguel-Ángel GomezFacultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
Hohai University · CNJames Cook University · AUShanghai University of Sport · CNTsinghua University · CNUniversidad Politécnica de Madrid · ESUniversity of International Business and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to recover from official match-play across a single and multiple matches is often considered a key factor in subsequent performance for modern professional basketball. The aims of this study were to: (i) explore the differences in match performances between different match congestion cycles (i.e., matches separated by zero, one, or two or greater days of rest); and (ii) identify the key performance indicators (KPIs) discriminating between winning and losing during different match congestion cycles. The current study indicated that scoring close to (i.e., within the paint) (ES = 0.08) or very far away (i.e., Three-point, ES = 0.05) was significantly greater for winning matches separated by 1- and 2-days of rest compared to consecutive matches (i.e., 0 rest days between matches). Additionally, shooting efficiency (

Indexed as

elite sportmatch schedulenational basketball associationperformance analysisregression analysis

Identifiers

PMID33679556
PMCPMC7925613
OpenAlexW3133318409

What OpenQuestion holds

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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.