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Record W4409217194 · doi:10.1016/j.autneu.2025.103278

Carotid chemoreceptor inhibition improves exercise tolerance in participants with elevated carotid chemosensitivity: A secondary analysis

2025· article· en· W4409217194 on OpenAlexafffund
Sophie É. Collins, Devin B. Phillips, Michael K. Stickland

Bibliographic record

VenueAutonomic Neuroscience · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsCovenant HealthYork UniversityMcGill University Health Centre
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsCarotid bodyChemoreceptorMedicineInternal medicineCardiologyCarotid arteries

Abstract

fetched live from OpenAlex

RATIONALE: Chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD) are characterized by exaggerated carotid chemoreceptor (CC) sensitivity and exercise intolerance. We tested the hypothesis that participants with elevated CC sensitivity would have the greatest improvement in exercise tolerance with CC inhibition, secondary to increased vascular conductance, and lower ventilatory requirements, dyspnea and leg discomfort. METHODS: Data from healthy controls, and patients with CHF or COPD were included in this secondary analysis of results from 2 randomized placebo-controlled double-blind crossover trials. Assessments included pulmonary function, incremental cardiopulmonary exercise test, and basal CC sensitivity assessment. High CC sensitivity was defined as either a stepwise hypoxic ventilatory response (HVR) or transient HVR greater than one SD above the mean in healthy controls. Participants received 2 μg/kg/min dopamine or placebo infusions (randomized) during 2 separate constant work-rate exercise tests to examine exercise endurance time (EET) and cardiopulmonary responses. RESULTS: = 0.024). Those with improved vascular conductance and leg discomfort had the greatest improvements in EET (p = 0.042 and p = 0.021, respectively). CONCLUSIONS: CC inhibition with dopamine in participants with high HVR was associated with improvement in EET. These findings suggest that high HVR is related to exercise limitation, and that improvement in EET is associated with a CC-mediated increase in vascular conductance and leg discomfort.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations3
Published2025
Admission routes2
Has abstractyes

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