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Record W2980599706 · doi:10.1113/ep088135

Effects of the menstrual and oral contraceptive cycle phases on microvascular reperfusion

2019· article· en· W2980599706 on OpenAlexafffund
Anmol T. Mattu, Martin J. MacInnis, Patricia K. Doyle–Baker, Juan M. Murias

Bibliographic record

VenueExperimental Physiology · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaHeart and Stroke Foundation of Canada
KeywordsMenstrual cycleLuteal phaseMedicineFollicular phaseVascular occlusionOvulationOcclusionInternal medicineOral contraceptive pillGynecologyPopulationPhysiologyEndocrinologyFamily planningHormoneResearch methodology

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? What are the effects of the menstrual (early follicular and mid‐luteal) or monophasic oral contraceptive (inactive‐ and active‐pill) cycle phases on vascular reperfusion of lower limb microvasculature in healthy, active women using the near‐infrared spectroscopy (NIRS) vascular occlusion test (VOT) technique? What is the main finding and its importance? We demonstrated that vascular responsiveness in the lower limb microvasculature remained unchanged between the early follicular and mid‐luteal phases of the menstrual cycle and inactive‐ and active‐pill phases of the oral contraceptive cycle. These data support that controlling for the cycle phases, within the specific times evaluated in this study, might not be necessary when assessing NIRS‐VOT reperfusion rates. Abstract The objective was to examine whether the menstrual or monophasic oral contraceptive cycle phases affect microvascular responsiveness of the lower limb in healthy, active women. During the follicular or inactive‐pill phase and the luteal or active‐pill phase of the menstrual or oral contraceptive cycle, respectively, 15 non‐oral contraceptive users (mean ± SD; 27 ± 6 years of age) and 15 monophasic oral contraceptive users (24 ± 4 years of age) underwent a lower‐limb vascular occlusion test (5 min baseline, 5 min occlusion and 8 min post cuff release). Menstrual cycle phases were verified using an ovulation test. Vascular responsiveness was assessed by calculating the near‐infrared spectroscopy‐derived muscle oxygen saturation (StO2) reperfusion slope (slope 2 StO2) and the post occlusion StO2 area under the curve (StO2AUC) of the tibialis anterior muscle. There were no differences in the reperfusion slope (as a percentage per second; follicular, 1.18 ± 0.48; luteal, 1.05 ± 0.48, inactive‐pill, 0.95 ± 0.23; and active‐pill, 0.87 ± 0.36; P = 0.09) and area under the curve (as a product of the percentage and seconds; follicular, 1067 ± 562; luteal, 918 ± 414, inactive‐pill, 945 ± 702; and active‐pill, 750 ± 519; P = 0.09) between the phases of the menstrual or oral contraceptive cycle, regardless of pill generation. The duration of oral contraceptive use was not associated with changes in slope 2 StO2 (r = 0.02, P = 0.94) or StO2AUC (r = −0.34, P = 0.22) between cycle phases. In conclusion, vascular responsiveness remained unchanged between the early follicular and mid‐luteal phases of the menstrual cycle and the inactive‐pill and active‐pill phases of the oral contraceptive cycle.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.240
Teacher spread0.237 · 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 designObservational
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

Citations42
Published2019
Admission routes2
Has abstractyes

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