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Fig 1.

Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 guidelines flow chart for literature search and inclusion.

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Fig 1 Expand

Fig 2.

Quality of evidence for included studies (n = 11).

Each bar represents the proportion of studies (%) rated as “Moderate” to “Very low” quality at each stage of the assessment, represented across the x-axis. The stages include the modified Downs and Black [40] appraisal score (priori-quality), GRADE criteria, assessing the study design, followed by two questions to assess study indirectness; Q.1. was an accurate equation used to determine inter-limb asymmetry? Q.2. Was the equipment used to identify unilateral jump height and subsequent outcome variables valid and reliable? The final bar signifies the final rating of evidence quality.

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Fig 3.

Forest plot of the 20-transformed effect sizes across seven studies (n = 178) assessing the effect of inter-limb asymmetries on bilateral jump performance measured via countermovement, drop and/or squat jump.

The null line represents no correlation, with data presented to the left representing a negative correlation and to the right representing a positive correlation. For studies with repeated performance tests, a numerical order after the reference is used and aligns with the order presented in Table 1.

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Fig 3 Expand

Table 1.

Studies assessing the effect of lower, inter-limb asymmetries on bilateral jump performance (n = 130).

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Table 1 Expand

Fig 4.

Forest plot of the 37-transformed effect sizes across eight studies (n = 187) assessing the effect of inter-limb asymmetries on change of direction performance via 505, zigzag, L-drill or pro-agility tests.

The null line represents no correlation, with data presented to the left representing a negative correlation and to the right representing a positive correlation. For studies with repeated performance tests, a numerical order after the reference is used and aligns with the order presented in Table 2.

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Fig 4 Expand

Table 2.

Studies assessing the effect on lower, inter-limb asymmetries on change of direction performance (n = 187).

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Table 2 Expand

Fig 5.

Forest plot of the 54-transformed effect sizes across nine studies (n = 211) assessing the effect of inter-limb asymmetries on sprint performance measured across 5 to 30-meters.

The null line represents no correlation, with data presented to the left representing a negative correlation and to the right representing a positive correlation. For studies with repeated performance tests, a numerical order after the reference is used and aligns with the order presented in Table 3.

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Fig 5 Expand

Table 3.

Studies assessing the effect on lower, inter-limb asymmetries on sprint performance (n = 211).

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Table 3 Expand