MétaCan
Menu
Back to cohort
Record W3097143196 · doi:10.1182/blood-2020-142175

A Major Knowledge Gap in Women's Health: The Combined Effect of Antifibrinolytics and Estrogen on Risk of Thromboembolism - a Scoping Review

2020· review· en· W3097143196 on OpenAlexaff
Danielle Meschino, Daniel Lindsay, Grace H. Tang, Paula James, Michelle Sholzberg

Bibliographic record

VenueBlood · 2020
Typereview
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsQueen's UniversitySt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineAntifibrinolyticThrombosisEstrogenIntensive care medicineTranexamic acidStroke (engine)GynecologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background:Up to 30% of women of reproductive age will seek medical attention for heavy menstrual bleeding (HMB), which negatively affects health-related quality of life. Both estrogen-containing oral contraceptives and antifibrinolytic agents are essential first-line treatments for HMB. Anecdotally, these agents appear synergistically effective when used in combination. Despite the strong evidence for the independent efficacy and safety of these agents for HMB as well as the use of antifibrinolytics in other high-estrogen states such as the post-partum state, prescribers are frequently uncomfortable prescribing them in combination due to the theoretical increased risk of thrombosis. Objective:To systematically evaluate the literature that explores the combined effect of pharmacologic or high physiologic estrogen and antifibrinolytic agents on risk of thromboembolism in women of reproductive age when used for heavy menstrual or post-partum bleeding. Methods:A literature search was performed on Medline, EMBASE, CINAHL, and Scopus from inception to July 2020. References of included articles were screened and a grey literature search was conducted to identify additional sources. Studies written in English that explored the risk of thromboembolism in women of reproductive age prescribed antifibrinolytic agents alongside estrogen-containing contraceptives or with a physiologic high-estrogen state were included. A thromboembolic event was defined as formation of a blood clot/thrombus in any arterial or venous structure with or without travel to a site distal to its point of origin, confirmed by appropriate diagnostic imaging/testing (including but not limited to deep vein thrombosis, superficial vein thrombosis, pulmonary embolism, ischemic stroke, myocardial infarction, mesenteric ischemia, ischemic colitis, kidney/spleen/liver infarct, or critical limb ischemia). Screening and data abstraction were performed by two independent reviewers (DM, DL) and conflicts were adjudicated by a third reviewer (MS). Results:A total of 2389 title and abstracts were identified from the literature. Of those, a total of 33 studies with 27933 participants were extracted for full text review. Of these studies, 31 investigatedantifibrinolytic use for post-partum bleeding: 22 randomized controlled trials (RCT), 3 retrospective cohort studies, 1 combined prospective-retrospective cohort study, 2 case series, and 3 case reports. Almost all (29/31) of these studies found no increased rate/risk of thromboembolism. However, only 4 of these studies were powered to make this assessment, all of which were RCTs. The 2 studies that described thromboembolism with antifibrinolytic use in the postpartum period were a case report and case series (N=18), respectively. We found only 2 case reports published describing thromboembolism withconcomitant estrogen-containing contraceptives and antifibrinolytic use, both of which reported thromboembolism in women using both agents for less than 3 months. Conclusions:We found no clear evidence that intermittent use of antifibrinolytics in either high physiologic or pharmacologic estrogenic states results in higher rates of thromboembolism. Prospective studies are warranted, particularly in the area of combined estrogen-containing contraceptive and antifibrinolytic use, to provide an accurate assessment of risk and properly inform prescribing practices. Disclosures James: Shire/Takeda:Research Funding;Bayer:Research Funding;CSL Behring:Research Funding.Sholzberg:Amgen:Honoraria, Other: Scientific Advisory Board, Research Funding;Octapharma:Honoraria, Other: Scientific Advisory Board, Research Funding;Takeda:Honoraria, Other: Scientific Advisory Board, Research Funding;Novartis:Honoraria, Other: Scientific Advisory Board;NovoNordisk:Honoraria, Other: Scientific Advisory Board.

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)0.010
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0170.015
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicUterine Myomas and TreatmentsFrench-language works237,207