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Record W1984031001 · doi:10.4236/health.2013.57a4006

A drospirenone-containing oral contraceptive improved bleeding pattern and personal satisfaction in 914 women from Jordan, Lebanon and Syria

2013· article· en· W1984031001 on OpenAlexaboutno aff
Ramzi R. Finan, Abeer Wasfi Annab, Salwa Abdalla, Farid Bedran, Mazen El-Zibdeh, Lina Shahen, Christoph Gerlinger, Erich Solomayer, Kubilay Ertan, Jan Endrikat

Bibliographic record

VenueHealth · 2013
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsDrospirenoneMedicineAmenorrheaMiddle EastObservational studyVisual analogue scaleGynecologyMenstrual bleedingMenstrual cycleTraditional medicinePatient satisfactionObstetricsDemographyInternal medicineGeographySurgeryPregnancyHormone

Abstract

fetched live from OpenAlex

Aim: We assessed bleeding pattern, tolerance and patient satisfaction of an oral contraceptive containing 3 mg drospirenone and 30 mcg ethinyl estradiol (DRSP/EE) under real-life conditions. Study Design: We performed a multicenter, prospective, 6-cycle, observational study in Canada, Europe and the Middle East. Detailed analyses of the three Middle East countries, Jordan, Lebanon andSyriawere presented here. The efficacy variables included an assessment of bleeding patterns, premenstrual symptoms of water retention and patient satisfaction, as determined by a visual analogue scale. Results: A total of 914 women were enrolled. The percentage of women with intermenstrual bleeding decreased from 37.4%, 48.7% and 32.2% at baseline to 9.7%, 6.1% and 10.9% at the end of cycle6 inJordan, Lebanon and Syria, respectively (creased sharply in all three countries (p Amenorrhea decreased significantly in Lebanon and Syria (p

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)0.001
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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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