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Record W4200351064 · doi:10.1016/j.xagr.2021.100041

Thromboembolic safety of norethisterone vs levonorgestrel in combined oral contraceptive users: a pooled analysis of 4 large prospective cohort studies

2021· article· en· W4200351064 on OpenAlexaboutno aff
Clare Barnett, Anja Bauerfeind, Sophia von Stockum, Klaas Heinemann

Bibliographic record

VenueAJOG Global Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsLevonorgestrelNorethisteroneMedicineEthinylestradiolHazard ratioNorethisterone acetatePopulationProspective cohort studyCohort studyObstetricsGynecologyProportional hazards modelCohortConfidence intervalFamily planningInternal medicineEstrogenEnvironmental healthResearch methodology

Abstract

fetched live from OpenAlex

BACKGROUND: Norethisterone (acetate) and levonorgestrel are marketed globally as components of combined oral contraceptives. Although guidelines recommend both as first-line combined oral contraceptives, no direct, comparative safety studies are available. OBJECTIVE: We directly compared the thromboembolic event risk associated with the use of norethisterone acetate-containing and levonorgestrel-containing combined oral contraceptives. STUDY DESIGN: Data regarding the cohorts of interest, norethisterone/norethisterone acetate (ethinylestradiol ≤30 µg) and levonorgestrel (ethinylestradiol ≤30 µg), were retrieved from a pooled dataset comprising 4 prospective, noninterventional, active-surveillance cohort studies in 14 European countries, the United States, and Canada, with similar study design but differing medication cohorts. Baseline characteristics and parameters of reproductive, contraceptive, and medical history were summarized using descriptive statistics. Propensity score subclassification was applied to balance baseline parameters between cohorts. Time-to-event analysis of venous thromboembolic events was performed on the basis of the extended Cox model to calculate crude and adjusted hazard ratios, including 95% confidence intervals. The time of venous thromboembolic events was censored at the end of the observation period for women who did not have an event. Women who dropped out or were lost to follow-up without reported venous thromboembolic events were censored at the time they last confirmed that they did not have an event. RESULTS: The pooled dataset included 235,437 combined oral contraceptive users who were followed up for a total of 571,163 women years. Among these, 40,142 women were users of norethisterone/norethisterone acetate (ethinylestradiol ≤30 µg), and 39,098 women were users of levonorgestrel (ethinylestradiol ≤30 µg), contributing 61,976 and 84,816 women years of observation, respectively. The observed prevalence of prognostic factors at baseline showed typical features of US and European combined oral contraceptive users. Both cohorts showed a similar, low rate of thromboembolic events, and we could exclude a 1.5-fold increased venous thromboembolism risk for norethisterone/norethisterone acetate relative to levonorgestrel (adjusted hazard ratio, 0.73; 95% confidence interval, 0.48-1.11). CONCLUSION: These data confirm the similar risk profiles of norethisterone/norethisterone acetate and levonorgestrel regarding thromboembolic events in routine combined oral contraceptive use of around 80,000 women from Europe and the United States/Canada. The analysis provides reassurance for both combined oral contraceptive users and clinicians regarding the safety of oral contraceptives and potentially opens discussion on norethisterone acetate as a potential gold standard therapy in clinical and postmarket research alongside levonorgestrel-combined oral contraceptives.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.346
Teacher spread0.325 · 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.

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

Citations4
Published2021
Admission routes1
Has abstractyes

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