Evidence map›Paper›PMID 35309540›Full record

ReviewBiology of sport2022

Body composition adaptations to lower-body plyometric training: a systematic review and meta-analysis.

Rodrigo Ramirez-Campillo, Felipe García-Pinillos, Pantelis T Nikolaidis, Filipe Manuel Clemente, Paulo Gentil, Antonio García-Hermoso

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biology of sport, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 6 pooled it
–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

14 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Trial
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  9. Enhancing clarity and methodological rigor in umbrella reviews.Annals of medicine and surgery (2012) · 2024
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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.

Rodrigo Ramirez-CampilloDepartment of Physical Activity Sciences. Universidad de Los Lagos. Santiago, Chile.
Felipe García-PinillosDepartment of Physical Education and Sports, Faculty of Sports Sciences, University of Granada, Spain.
Pantelis T NikolaidisExercise Physiology Laboratory, Nikaia, Greece.
Filipe Manuel ClementeEscola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, 4900-347 Viana do Castelo, Portugal.
Paulo GentilCollege of Physical Education and Dance, Federal University of Goias, Goiania, Brazil.
Antonio García-HermosoNavarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this meta-analysis was to explore the effects of plyometric jump training (PJT) on body composition parameters among males. Relevant articles were searched in the electronic databases PubMed, MEDLINE, WOS, and SCOPUS, using the key words "ballistic", "complex", "explosive", "force-velocity", "plyometric", "stretch-shortening cycle", "jump", "training", and "body composition". We included randomized controlled trials (RCTs) that investigating the effects of PJT in healthy male's body composition (e.g., muscle mass; body fat), irrespective of age. From database searching 21 RCTs were included (separate experimental groups = 28; pooled number of participants = 594). Compared to control, PJT produced significant increases in total leg muscle volume (small ES = 0.55,

Indexed as

Adipose tissueExercise therapyHuman physical conditioningPlyometric exerciseResistance trainingSkeletal muscleStretch-shortening cycle

Identifiers

PMID35309540
PMCPMC8919888

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.