Evidence map›Paper›PMID 41609172›Full record

Trial reportEuropean journal of sport science2026

Low-Versus High-Carbohydrate Isocaloric Diets on Continuous Glucose Monitoring Metrics in Healthy Trained Cyclists: A Randomized Crossover Trial.

Stefano Amatori, Raffaele Radice, Tim Podlogar, Erica Gobbi, Annalisa Belli, Flavia Loche, Alexander Bertuccioli, Maurizio M Sudano, Carlo Baldari, Marco B L Rocchi and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of sport science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

12 authors.

Stefano AmatoriDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.ORCID https://orcid.org/0000-0001-7497-755X
Raffaele RadiceDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Tim PodlogarDepartment of Public Health and Sport Science, Medical School, University of Exeter, Exeter, UK.
Erica GobbiDepartment of Biomedical Sciences, University of Padova, Padova, Italy.
Annalisa BelliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Flavia LocheDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Alexander BertuccioliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Maurizio M SudanoDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Carlo BaldariDepartment of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy.
Marco B L RocchiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Davide SistiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.
Fabrizio PerroniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.ORCID https://orcid.org/0000-0003-2094-4351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This randomized crossover trial examined the effects of low-carbohydrate high-fat (LCHF) versus high-carbohydrate low-fat (HCLF) isocaloric diets on continuous glucose monitoring (CGM)-derived glucose metrics in trained, healthy male cyclists. Participants (n = 15) followed each dietary condition for 7 days, with glucose data continuously collected using CGM technology. The primary outcomes assessed were mean glucose levels, glucose variability, and time spent within specific glycemic ranges across wake, exercise, and nighttime phases. Results indicated that the LCHF diet significantly reduced mean glucose levels and glycemic variability (CV) compared to the HCLF diet. Mean glucose values were significantly higher during exercise compared to wake and night phases, irrespective of dietary conditions. Exercise intensity was positively associated with higher glucose concentrations during training sessions, independent of dietary conditions. Furthermore, nocturnal glycemia was significantly lower after exercise days, suggesting an influence of prior physical activity on overnight glucose regulation. Substantial interindividual variability in glucose responses was observed, highlighting the necessity of personalized dietary strategies for athletes. This study demonstrates that dietary carbohydrate manipulation significantly influences glucose metabolism, with implications for optimizing training, recovery, and metabolic health in endurance athletes. Future research should further explore individualized glucose responses and longer-term adaptations to dietary interventions in athletic populations.

Indexed as

BicyclingBlood GlucoseDietary CarbohydratesDiet, Carbohydrate-RestrictedAdultAthletesBlood Glucose Self-MonitoringContinuous Glucose MonitoringCross-Over StudiesHumansMaleYoung AdultBlood GlucoseDietary CarbohydratescarbohydrateCGMcyclingenduranceglycemiasports nutrition

Identifiers

PMID41609172
PMCPMC12853396

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.