Evidence map›Paper›PMID 39600915›Full record

ArticleFrontiers in sports and active living2024

Will the COVID-19 infection affect the performance of top basketball players? A data-driven analysis.

Changyue Xiong, Chenxi Wu, Lu Bai, Yuxin Yan, Sumeng Chen

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. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Changyue XiongDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Chenxi WuDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Lu BaiDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Yuxin YanDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Sumeng ChenDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the changes in the game performance of high-level basketball players in NBA league before and after the COVID-19 infection. Methods: Athletic statistics were collected from official database for 68 players (19 forwards, 29 guards, 20 centers; mean age 27.14 ± 3.65 years) in the NBA league for 10 games before and after infection with COVID-19. We used a the Kruskal-Wallis analysis of variance to examine the impact caused by COVID-19. Results: Among all 68 players, a statistically significant decrease in plus/minus ( Conclusion: The impact of COVID-19 on players' fatigue and cardiorespiratory and muscular endurance may have contributed to the decline in performance, and the impact of detraining due to isolation should not be ignored.

Indexed as

COVID-19elite basketball playersNational Basketball Associationperformancereturn to play

Identifiers

PMID39600915
PMCPMC11588499

What OpenQuestion holds

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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.