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Record W2058715299 · doi:10.1592/phco.23.5.561.32201

Estradiol in Premenstrual Asthma: A Double‐Blind, Randomized, Placebo‐Controlled, Crossover Study

2003· article· en· W2058715299 on OpenAlexaff
Mary H. H. Ensom, Gina Chong, Danyi Zhou, Bev Beaudin, Stephen Shalansky, Tony R. Bai

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2003
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsChildren's & Women's Health Centre of British ColumbiaSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPlaceboAsthmaMedicineEveningCrossover studySpirometryMenstrual cycleMorningLuteal phaseFollicular phaseInternal medicineHormone

Abstract

fetched live from OpenAlex

STUDY OBJECTIVES: To characterize asthma symptoms and pulmonary function throughout two menstrual cycles, with and without exogenous estradiol administration, in women with premenstrual asthma, and to determine the effect of estradiol administration on asthma symptoms, pulmonary function, quality of life, and biomarkers of airway inflammation. DESIGN: Double-blind, randomized, placebo-controlled, crossover study. SETTING: Respiratory clinic and clinical research center. SUBJECTS: Twelve women with documented premenstrual asthma (> or = 20% premenstrual worsening of asthma symptoms and/or of peak expiratory flow [PEF] during a 1-month screening phase). INTERVENTION: Each woman received either estradiol 2 mg or placebo orally between cycle days 23 and 28 (i.e., premenstrually, or before the onset of menses) in the first cycle and then crossed over to the other arm in the second cycle. Throughout both cycles, the women recorded daily morning and evening PEF readings and asthma symptoms. MEASUREMENTS AND MAIN RESULTS: Spirometry testing and measurement of serum estradiol and biomarkers of airway inflammation were performed on days 8 (follicular phase), 22 (luteal phase), and 28 (premenstrually) of both the estradiol and placebo cycles. During the two premenstrual visits, the Asthma Quality of Life Questionnaire was administered. No notable differences were observed between the estradiol and placebo cycles in daily PEF recordings or composite asthma symptoms scores. The area under the curve (AUC) for the composite asthma symptoms versus time profile was numerically, but not statistically, lower (denoting less severe symptoms) during the estradiol cycle than during the placebo cycle. Likewise, no significant difference in AUC values for morning PEF or evening PEF was found between the estradiol cycle and the placebo cycle. Despite differences (p<0.05) in day-28 estradiol concentrations for estradiol and placebo cycles, no significant differences were found in forced expiratory volume in 1 second, serum endothelin-1, serum and urine eosinophil protein X, urine leukotriene E4, or quality-of-life scores. CONCLUSION: Exogenously administered estradiol did not have a significant effect in women with premenstrual asthma whose asthma was classified predominantly as mild and under excellent control. As in the case of premenstrual syndrome, the placebo effect may be prominent in premenstrual asthma. Further trials, involving women with more severe asthma under poorer control, are warranted to discern underlying mechanisms for the worsening of asthma in relation to menstruation.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.393
Teacher spread0.355 · 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 designRandomized trial
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

Citations28
Published2003
Admission routes1
Has abstractyes

Explore more

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