Evidence map›Paper›PMID 34496702›Full record

ArticleSports health

Diagnosing Overtraining Syndrome: A Scoping Review.

Justin Carrard, Anne-Catherine Rigort, Christian Appenzeller-Herzog, Flora Colledge, Karsten Königstein, Timo Hinrichs, Arno Schmidt-Trucksäss

Open access · bronzeAbstract readScoping Review
In one paragraph

Article in Sports health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Resistance and Aerobic Preconditioning Delays Unloading-Induced Multisystemic Physiological Changes: The NEBULA Project.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 1 institution in 1 country.

Justin CarrardDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-2380-105X
Anne-Catherine RigortDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Christian Appenzeller-HerzogUniversity Medical Library, University of Basel, Basel, Switzerland.
Flora ColledgeDivision of Sports Science, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Karsten KönigsteinDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Timo HinrichsDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Arno Schmidt-TrucksässDivision of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextOvertraining syndrome (OTS) is a condition characterized by a long-term performance decrement, which occurs after a persisting imbalance between training-related and nontraining-related load and recovery. Because of the lack of a gold standard diagnostic test, OTS remains a diagnosis of exclusion.

objectiveTo systematically review and map biomarkers and tools reported in the literature as potentially diagnostic for OTS. DATA SOURCES: PubMed, Web of Science, and SPORTDiscus were searched from database inception to February 4, 2021, and results screened for eligibility. Backward and forward citation tracking on eligible records were used to complement results of database searching. STUDY SELECTION: Studies including athletes with a likely OTS diagnosis, as defined by the European College of Sport Science and the American College of Sports Medicine, and reporting at least 1 biomarker or tool potentially diagnostic for OTS were deemed eligible. STUDY

designScoping review following the guidelines of the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews (PRISMA-ScR). LEVEL OF EVIDENCE: Level 4. DATA EXTRACTION: Athletes' population, criteria used to diagnose OTS, potentially diagnostic biomarkers and tools, as well as miscellaneous study characteristics were extracted.

resultsThe search yielded 5561 results, of which 39 met the eligibility criteria. Three diagnostic scores, namely the EROS-CLINICAL, EROS-SIMPLIFIED, and EROS-COMPLETE scores (EROS = Endocrine and Metabolic Responses on Overtraining Syndrome study), were identified. Additionally, basal hormone, neurotransmitter and other metabolite levels, hormonal responses to stimuli, psychological questionnaires, exercise tests, heart rate variability, electroencephalography, immunological and redox parameters, muscle structure, and body composition were reported as potentially diagnostic for OTS.

conclusionSpecific hormones, neurotransmitters, and metabolites, as well as psychological, electrocardiographic, electroencephalographic, and immunological patterns were identified as potentially diagnostic for OTS, reflecting its multisystemic nature. As exemplified by the EROS scores, combinations of these variables may be required to diagnose OTS. These scores must now be validated in larger samples and within female athletes.

Indexed as

FatigueSportsAthletesBiomarkersExercise TestFemaleHormonesHumansBiomarkersHormonesathletesbiomarkersdiagnosisovertraining syndrometools

Identifiers

PMID34496702
PMCPMC9460078
OpenAlexW3196474236

What OpenQuestion holds

Textmetadata
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.