Evidence map›Paper›PMID 32747792›Full record

ReviewNature metabolism2020

Skeletal muscle energy metabolism during exercise.

Mark Hargreaves, Lawrence L Spriet

Erratum issued Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05684367 (Center-Based and Home-Based Walking Exercise Intervention to Reduce Fatigue in Older Breast Cancer Survivors), which is not on this map. Cited by 667 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
667citing papers in PubMed, 9 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.

NCT05684367 narecruitingnot on this mapstarted 2023, after this paper: background citation

Center-Based and Home-Based Walking Exercise Intervention to Reduce Fatigue in Older Breast Cancer Survivors

TypeinterventionalSponsorUniversity of FloridaRan2023 to 2026Enrolled24ConditionsFatigue, Breast Cancer, Cancer, Therapy-RelatedArmsCenter-Based Walking Exercise, Home-Based Walking Exercise
3 · Its place in the literature

Who cites it

667 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mark HargreavesDepartment of Physiology, University of Melbourne, Melbourne, Victoria, Australia. m.hargreaves@unimelb.edu.au.ORCID http://orcid.org/0000-0002-3694-5335
Lawrence L SprietDepartment of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada. lspriet@uoguelph.ca.ORCID http://orcid.org/0000-0002-0164-2385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continual supply of ATP to the fundamental cellular processes that underpin skeletal muscle contraction during exercise is essential for sports performance in events lasting seconds to several hours. Because the muscle stores of ATP are small, metabolic pathways must be activated to maintain the required rates of ATP resynthesis. These pathways include phosphocreatine and muscle glycogen breakdown, thus enabling substrate-level phosphorylation ('anaerobic') and oxidative phosphorylation by using reducing equivalents from carbohydrate and fat metabolism ('aerobic'). The relative contribution of these metabolic pathways is primarily determined by the intensity and duration of exercise. For most events at the Olympics, carbohydrate is the primary fuel for anaerobic and aerobic metabolism. Here, we provide an overview of exercise metabolism and the key regulatory mechanisms ensuring that ATP resynthesis is closely matched to the ATP demand of exercise. We also summarize various interventions that target muscle metabolism for ergogenic benefit in athletic events.

Indexed as

AnimalsAthletic PerformanceEnergy MetabolismExerciseHumansMuscle, SkeletalPhysical Exertion

Identifiers

PMID32747792

What OpenQuestion holds

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Registered trials

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.