Evidence map›Paper›PMID 40234087›Full record

ArticleBMJ open respiratory research2025

Impact of cycling cadence on physiological response during a cardiopulmonary exercise test.

Ben Knox-Brown, Chris Harding, Shabana Chowdhury, Andrew Pritchard, Joanna Shakespeare, Karl Peter Sylvester

Abstract read
In one paragraph

Article in BMJ open respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Ben Knox-BrownCambridge University Hospitals NHS Foundation Trust, Cambridge, UK benjamin.knox-brown@nhs.net.ORCID http://orcid.org/0000-0001-5573-4413
Chris HardingCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Shabana ChowdhuryRoyal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.
Andrew PritchardRoyal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.
Joanna ShakespeareRespiratory and Sleep Sciences, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, Coventry, UK.ORCID http://orcid.org/0000-0003-3930-1700
Karl Peter SylvesterCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe impact of cycling at different cadences on cardiopulmonary exercise test (CPET) measurements is poorly understood. We aimed to investigate whether higher cadences of pedalling led to meaningful changes in physiological endpoints.

methodsStudy participants were recruited from healthy staff members working within three NHS trusts across England. At baseline, all participants completed a CPET at 60 rpm and then subsequently completed CPETs at cadences of 70, 80 and 90 rpm, allocated in a random order. To evaluate the mean differences in CPET measurements across the cadences, we used a one-way repeated measures analysis of variance. We then performed post hoc pairwise comparisons with Tukey correction to account for multiple testing.

resultsData collection took place between the 19 September 2023 and 9 April 2024. 25 participants had complete data at each cadence. 48% (12 of 25) were female, with a median (IQR) age of 30 years (27-41). There was no significant difference in peak V̇O

conclusionIn a healthy population, higher cycling cadences increased ventilatory demand and reduced maximum work rate. This could have implications for CPETs in the clinical setting, where physiological responses to higher cadences may be more exaggerated.

Indexed as

BicyclingExercise TestAdultEnglandFemaleHeart RateHumansMaleOxygen ConsumptionExerciseLung Physiology

Identifiers

PMID40234087
PMCPMC12001355

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Registered trials

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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.