Evidence map›Paper›PMID 34694596›Full record

ReviewSports medicine (Auckland, N.Z.)2022

Identification of Non-Invasive Exercise Thresholds: Methods, Strategies, and an Online App.

Daniel A Keir, Danilo Iannetta, Felipe Mattioni Maturana, John M Kowalchuk, Juan M Murias

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 2 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

93 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Exercise training-induced speeding ofEuropean journal of applied physiology · 2025
    Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Aerobic capacity andEuropean journal of applied physiology · 2023
    Trial
  17. Article
  18. Reliability and validity of the respiratory threshold method.European journal of applied physiology · 2026
    Article
  19. Article
  20. Beyond VOGenes · 2026
    Article

33 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

5 authors.

Daniel A KeirSchool of Kinesiology, The University of Western Ontario, AHB 3G18, 1151 Richmond Street, London, ON, N6A 3K7, Canada. dkeir@uwo.ca.ORCID http://orcid.org/0000-0002-5656-373X
Danilo IannettaFaculty of Kinesiology, University of Calgary, Calgary, AB, Canada.
Felipe Mattioni MaturanaDepartment of Sports Medicine, University of Tübingen, Baden-Württemberg, Germany.ORCID https://orcid.org/0000-0002-4221-6104
John M KowalchukSchool of Kinesiology, The University of Western Ontario, AHB 3G18, 1151 Richmond Street, London, ON, N6A 3K7, Canada.
Juan M MuriasFaculty of Kinesiology, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0000-0002-6460-6453

Funding

NSERC RGPIN-2015-00084NSERC RGPIN-2016-03698
6 · The paper itself

Abstract

During incremental exercise, two thresholds may be identified from standard gas exchange and ventilatory measurements. The first signifies the onset of blood lactate accumulation (the lactate threshold, LT) and the second the onset of metabolic acidosis (the respiratory compensation point, RCP). The ability to explain why these thresholds occur and how they are identified, non-invasively, from pulmonary gas exchange and ventilatory variables is fundamental to the field of exercise physiology and requisite to the understanding of core concepts including exercise intensity, assessment, prescription, and performance. This review is intended as a unique and comprehensive theoretical and practical resource for instructors, clinicians, researchers, lab technicians, and students at both undergraduate and graduate levels to facilitate the teaching, comprehension, and proper non-invasive identification of exercise thresholds. Specific objectives are to: (1) explain the underlying physiology that produces the LT and RCP; (2) introduce the classic non-invasive measurements by which these thresholds are identified by connecting variable profiles to underlying physiological behaviour; (3) discuss common issues that can obscure threshold detection and strategies to identify and mitigate these challenges; and (4) introduce an online resource to facilitate learning and standard practices. Specific examples of exercise gas exchange and ventilatory data are provided throughout to illustrate these concepts and a novel online application tool designed specifically to identify the estimated LT (θ

Indexed as

Mobile ApplicationsAnaerobic ThresholdExerciseExercise TestHumansLactic AcidOxygen ConsumptionPulmonary Gas ExchangeLactic Acid

Identifiers

PMID34694596

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.