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Record W1846293866 · doi:10.1210/jc.2015-2223

Letter to the Editor: RE: Excessive Sugar Consumption May Be a Difficult Habit to Break: A View From the Brain and Body.

2015· letter· en· W1846293866 on OpenAlexaboutno aff
Fergal Grace, Lawrence D. Hayes, Nicholas Sculthorpe

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2015
Typeletter
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSet (abstract data type)PsychologyComputer science

Abstract

fetched live from OpenAlex

We read with great interest the recent article by Tryon et al (1) who set out to test their “glucocorticoid-metabolic-brain model” in 19 women consuming beverages sweetened with either aspartame or an undefined amount of 25% sucrose thrice daily for 2 weeks. We compliment the authors on an interesting, timely, and potentially progressive research study. However, we wish to highlight some important limitations in relation to the primary outcome measures used to determine stress response that were not sufficiently addressed within the manuscript. The first relates to the variability in daytime cortisol measurement. In clinical practice, saliva cortisol sampling is normally reserved as a convenient initial test for Cushing's syndrome, whereby the collection of duplicate late-night samples over two separate evenings (2) allows systemic cortisol concentrations to reach their nadir. Further to diurnal oscillation, multiple other factors are known to affect salivary cortisol such as the use of oral contraceptives, smoking, diet, and nontraditional supplements that impact the biological variability of salivary cortisol and contrive to increase measurement error. To achieve meaningful data, it should be an a priori aim of such applied research to control preanalytical and analytical variability, thus allowing the biological component to be the one true variable. In this respect, we draw the authors' attention to the original work of Fraser and Fogarty (3) and would urge the authors to determine the critical difference (clinically relevant difference) should they wish to employ saliva cortisol measurement in future work. The absence of complete control for biological variants, coupled with what appears to be single sample measurements, in a small sample population, the potential for having fallen victim to classic type 1 error, cannot be eliminated. The study of Tryon et al (1) also employed the Montreal Imaging Stress Task as used by Pruessner et al (4) to induce a psychological stress response, although Pruessner et al employed a time-resolved fluorescence immunoassay using the method described by Dressendorfer et al (5); even then, due to significant heterogeneity in individual salivary cortisol responses, Dressendorfer and colleagues split their entire cohort into subjects where salivary cortisol had either increased or decreased during the course of their experiment. With these aspects in mind, we perceive that the authors remarks relating to their manuscript being among the first evidence that consumption of beverages sweetened with sugar, but not the artificial sweetener aspartame, inhibits stress-induced cortisol secretion in humans, to be preliminary until such time as the critical difference is established and clinically meaningful changes to salivary cortisol can be validated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.005
Open science0.0030.001
Research integrity0.0200.026
Insufficient payload (model declined to judge)0.0080.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.378
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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