Evidence map›Paper›PMID 31067746›Full record

ReviewSports (Basel, Switzerland)2019

Recommendations for Measurement and Management of an Elite Athlete.

William Sands, Marco Cardinale, Jeni McNeal, Steven Murray, Christopher Sole, Jacob Reed, Nikos Apostolopoulos, Michael Stone

Abstract readReview
In one paragraph

Review in Sports (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Sex differences in muscle morphology between male and female sprinters.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Article
  9. Article
  10. The impact of long haul travel on the sleep of elite athletes.Neurobiology of sleep and circadian rhythms · 2023
    Article
  11. Article
  12. "Are You Doing Any Sport Science?" A Brief Editorial.Journal of functional morphology and kinesiology · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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

8 authors.

William SandsHigh Performance Department, USA Ski and Snowboard Association, Victory Ln, Park City, UT 84060, USA. wmasands@hotmail.com.
Marco CardinaleHead Sports Physiology and Research, Aspire Academy, Doha POB 22287, Quatar. marco.cardinale@me.com.
Jeni McNealDepartment of Physical Education Health and Recreation, Eastern Washington University, Cheney, WA 99004, USA. jeni_mcneal@hotmail.com.
Steven MurrayPhysical Education Program, University of California, Berkeley, CA 94720, USA. smurray@berkeley.edu.ORCID 0000-0001-5779-1497
Christopher SoleDepartment of Health and Human Performance, The Citadel⁻The Military College of South Carolina, 171 Moultrie Street Charleston, Charleston, SC 29409, USA. christopher.j.sole@gmail.com.
Jacob ReedSport Science Department, WRC 121, University of Northern Iowa, Cedar Falls, IA 50613, USA. acob.reed@uni.edu.
Nikos ApostolopoulosKinesiology and Physical Education, University of Toronto, Toronto, ON M5S-2W6, Canada. nikos.apostolopoulos@utoronto.ca.
Michael StoneDepartment of Sport, Exercise, and Recreation, East Tennessee State University, Johnson City, TN 37614, USA. stonem@etsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athletes who merit the title 'elite' are rare and differ both quantitatively and qualitatively from athletes of lower qualifications. Serving and studying elite athletes may demand non-traditional approaches. Research involving elite athletes suffers because of the typical nomothetic requirements for large sample sizes and other statistical assumptions that do not apply to this population. Ideographic research uses single-athlete study designs, trend analyses, and statistical process control. Single-athlete designs seek to measure differences in repeated measurements under prescribed conditions, and trend analyses may permit systematic monitoring and prediction of future outcomes. Statistical process control uses control charting and other methods from management systems to assess and modify training processes in near real-time. These methods bring assessment and process control into the real world of elite athletics.

Indexed as

elite athletesingle-subject researchstatistical process controltrend analysis

Identifiers

PMID31067746
PMCPMC6572637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.