Evidence map›Paper›PMID 41808229›Full record

ArticleBMC sports science, medicine & rehabilitation2026

Evaluating tennis player performance based on different types of grip strength.

Kebao Zhang, Jianing Cui, Yi Jia, Liu Wang

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Kebao ZhangSchool of Sport and Physical Education, North University of China, Taiyuan, 030051, China.
Jianing CuiSchool of Recreation and Community Sport, Capital University of Physical Education and Sports, Beijing, 100191, China.
Yi JiaSchool of Sport and Physical Education, North University of China, Taiyuan, 030051, China. jiayi@nuc.edu.cn.
Liu WangSchool of Recreation and Community Sport, Capital University of Physical Education and Sports, Beijing, 100191, China. wangliu@cupes.edu.cn.

Funding

Zhiyuan Laboratory N0. ZYL2025014
6 · The paper itself

Abstract

Grip strength is the concrete manifestation of the hand-wrist-forearm segment that links the body and the instrument at the end of the kinetic chain in events of handheld equipment. It plays a crucial role as a “gatekeeper” in transmission, control and coordination of force. A review of the literatures about the relationship between grip strength and tennis sports performance is provided to clarify the potential functions of grip strength within the kinetic chain, demonstrate more details of the performance of the hand-wrist-forearm segment in events of handheld implements, and enrich the theory of the kinetic chain. The “grip”, “grip strength”, “dynamic grip strength”, “static grip strength”, “grip endurance” and “tennis” as keywords are searched in internationally recognized databases (Web of Science, PubMed, Google Scholar, Scopus, and ProQuest, etc.). Relevant literatures are collected, screened, read, organized and analyzed. Here, grip strength is classified into specific and non-specific categories based on the differences in testing environment. By summarizing the functions of specific and non-specific grip strength, it is found that both kinds of grip strengths have significant intrinsic value. This review provides a new perspective for understanding the performance of the end of the kinetic chain and has great significance for enriching the theory of the kinetic chain.

Indexed as

Kinetic chainNon-specific grip strengthSpecific grip strengthSports performanceTennis

Identifiers

PMID41808229
PMCPMC13088397

What OpenQuestion holds

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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.