Evidence map›Paper›PMID 15562183›Full record

ReviewBritish journal of sports medicine2004

Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans.

A St Clair Gibson, T D Noakes

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of sports medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
14.0field-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

149 citing papers in PubMed, 1 synthesis or guideline pooled it, 475 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Pacing strategies during repeated maximal voluntary contractions.European journal of applied physiology · 2014
    Trial
  5. Trial
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  8. Self-regulation of exercise intensity by estimated time limit scale.European journal of applied physiology · 2012
    Trial
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  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Physiological Responder Profiles and Fatigue Dynamics in Prolonged Cycling.Journal of functional morphology and kinesiology · 2025
    Article
  20. EEG-Metabolic Coupling and Time Limit at V˙OJournal of functional morphology and kinesiology · 2025
    Article

89 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

A St Clair GibsonResearch Unit for Exercise Science and Sports Medicine, University of Cape Town, Newlands, South Africa. Agibson@sports.uct.ac.za <Agibson@sports.uct.ac.za>
T D Noakes
Sports Science Institute of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A model is proposed in which the development of physical exhaustion is a relative rather than an absolute event and the sensation of fatigue is the sensory representation of the underlying neural integrative processes. Furthermore, activity is controlled as part of a pacing strategy involving active neural calculations in a "governor" region of the brain, which integrates internal sensory signals and information from the environment to produce a homoeostatically acceptable exercise intensity. The end point of the exercise bout is the controlling variable. This is an example of a complex, non-linear, dynamic system in which physiological systems interact to regulate activity before, during, and after the exercise bout.

Indexed as

ExerciseExercise ToleranceFatigueHumansModels, NeurologicalMuscle FatigueMuscle, SkeletalRecruitment, NeurophysiologicalSensation

Identifiers

PMID15562183
PMCPMC1724966
OpenAlexW2123411291

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.