Evidence map›Paper›PMID 28630570›Full record

ReviewJournal of sports science & medicine2017

Contralateral Effects After Unilateral Strength Training: A Meta-Analysis Comparing Training Loads.

Rafel Cirer-Sastre, Jose V Beltrán-Garrido, Francisco Corbi

Abstract readReview
PubMed Full text at PMC
In one paragraph

Review in Journal of sports science & medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  6. Cross education is modulated by set configuration in knee extension exercise.Journal of musculoskeletal & neuronal interactions · 2023
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  8. Cross-education improves quadriceps strength recovery after ACL reconstruction: a randomized controlled trial.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2019
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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

3 authors.

Rafel Cirer-SastreNational Institute of Physical Education of Catalonia (INEFC), University of Lleida, Lleida, Spain.
Jose V Beltrán-GarridoEUSES TE, Health and Sport Science School, Rovira i Virgili University, Amposta, Spain.
Francisco CorbiNational Institute of Physical Education of Catalonia (INEFC), University of Lleida, Lleida, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is solid evidence on the cross-training phenomenon, but the training load required to achieve it has yet to be established. The aim of this meta-analysis was to deduce which unilateral strength training load (duration, frequency, intensity, rest and type) would enable the biggest strength increases to be obtained in the inactive contralateral limb. The examined studies were limited to those written in the English language within the Web of Science, PubMed and SPORTDiscus databases. Ten of the 43 eligible studies were included, covering a total of 409 participants. The studies included in the meta-analysis showed a low risk of bias and had an estimated pooled effect size of 0.56 (95% CI from 0.34 to 0.78). Greater effect sizes were observed in lengthy protocols involving fast eccentric exercises using designs of 3 sets of 10 repetitions and a 2-minute rest time. Effect size did not relate to absolute volume, relative intensity, absolute duration and speed of execution. In conclusion, to optimize contralateral strength improvements, cross-training sessions should involve fast eccentric sets with moderate volumes and rest intervals.

Indexed as

Cross-educationcross transfereffect sizeimmobilization

Identifiers

PMID28630570
PMCPMC5465979

What OpenQuestion holds

Textmetadata
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.