ArticleResearch and practice in thrombosis and haemostasis2026
Predicting venous thromboembolism risk from endogenous thrombin potential-based normalized activated protein C sensitivity ratio assay: toward early assessment of combined oral contraceptives.
Article in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Estetrol/drospirenone for combined oral contraception: a systematic review of efficacy, cycle control, and safety.Frontiers in endocrinology · 2026Pooled it
- A detailed review of pharmacokinetics/pharmacodynamics of progestogens in oral contraception.Frontiers in endocrinology · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Combined oral contraceptives (COCs) increase venous thromboembolism (VTE) risk, depending on estrogen type, dose, and progestin. While epidemiological studies provide insight into these risks, they require years to complete. The normalized activated protein C sensitivity ratio (nAPCsr), a standardized assay of acquired activated protein C resistance, has emerged as a potential biomarker of COC-induced VTE risk. Objectives: To develop a population-based Methods: We analyzed 200 plasma samples from non-COC users and 257 from users of 9 different COCs. We constructed an exponential model to correlate the mean nAPCsr of 5 COCs with their available population-based VTE relative risk, as extracted from Results: The model demonstrated high predictive accuracy (R Conclusion: Our model, based on mean nAPCsr, provides a reliable, biomarker-based approach for predicting population-based COC-related VTE risk. This strategy could help shorten the time between product launch and population-based risk assessment.
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Registered trials
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