Evidence map›Paper›PMID 29082463›Full record

SynthesisSports medicine (Auckland, N.Z.)2018

Talent Identification in Sport: A Systematic Review.

Kathryn Johnston, Nick Wattie, Jörg Schorer, Joseph Baker

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 13 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

125 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  8. Talent Identification and Development in Male Futsal: A Systematic Review.International journal of environmental research and public health · 2022
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  11. Impact of the Relative Age Effect on Competition Performance in Basketball: A Qualitative Systematic Review.International journal of environmental research and public health · 2020
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65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kathryn JohnstonSchool of Kinesiology and Health Science, York University, Toronto, ON, Canada. krobinso@yorku.ca.
Nick WattieFaculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, ON, Canada.
Jörg SchorerSchool of Humanities and Social Sciences, Car von Ossietzky Universitat Oldenburg, Oldenburg, Germany.
Joseph BakerSchool of Kinesiology and Health Science, York University, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTalent identification (TID) programs are an integral part of the selection process for elite-level athletes. While many sport organizations utilize TID programs, there does not seem to be a clear set of variables that consistently predict future success.

objectiveThis review aims to synthesize longitudinal and retrospective studies examining differences between performance variables in highly skilled and less-skilled athletes in elite-level sport.

methodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to identify relevant studies (N = 20).

resultsThere was a clear overrepresentation of studies that (1) examined physical profiles of athletes (60%); (2) focused on male samples (65%); (3) examined athletes between the ages of 10 and 20 years (60%); and (4) were published between the years 2010 and 2015 (65%). On closer examination, there was a high degree of variability in the factors that were found to discriminate between skilled and less-skilled individuals.

conclusionFindings from this review highlight how little is known about TID in elite sport and emphasize the need for greater diversity in TID research.

Indexed as

AptitudeAthletesAthletic PerformanceSportsAdolescentAdultAustraliaChildFemaleHumansMaleYoung Adult

Identifiers

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.