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Record W4408804489 · doi:10.1101/2025.03.22.25324427

How should menorrhagia be managed in people with bleeding disorders: A systematic review of the literature and thematic synthesis

2025· review· en· W4408804489 on OpenAlexaboutno aff
Rameen Masood, Vidiya Dev, Katie Finch, Daniel Fletcher, Olufikayo Bamidele, Jo Traunter, David Allsup, Barbara‐ann Guinn

Bibliographic record

VenuemedRxiv · 2025
Typereview
Languageen
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSystematic reviewThematic mapMedicinePsychologyPolitical scienceMEDLINEGeographyLawCartography

Abstract

fetched live from OpenAlex

ABSTRACT Objectives To determine how menorrhagia is managed in people with bleeding disorders. Design A systematic review and thematic synthesis. Data sources PubMed, Medline, Scopus, Cochrane library, google scholar and CINAHL complete (via EBSCO). Methods Searches were conducted on articles published from 1 st January 2000 until 6 th May 2024. Following deduplication, the titles and abstracts were screened for relevance. 244 primary studies were then assessed for eligibility based on inclusion and exclusion criteria. Studies were included if they were based on primary articles and focussed on people with inherited bleeding disorders and heavy menstrual bleeding. Included studies were appraised for risk of bias and quality assurance using the Newcastle Ottawa Scale, following which data was systematically coded to generate descriptive and analytical themes. Results We identified 16 eligible articles of which 13 were included in a thematic synthesis. These included prospective and retrospective clinical studies, cross-sectional studies and randomised control trials encompassing over 893 participants. Thematic synthesis identified hormonal treatments, such as the levonorgestrel-releasing intrauterine system (LNG-IUS), to be largely effective in the symptom management of HMB in IBD and associated with improved quality of patient life. Treatment of HMB patients with LNG-IUS, followed by tranexamic acid (TA) or 1-deamino-8-d-arginine vasopressin (DDAVP), the trade name for desmopressin, commonly led to amenorrhea. Technological approaches to the management of HMB in IBD included the use of mobile technology to encourage treatment compliance. These management strategies led to an improvement in reported QoL by patients with IBD. This review had limitations including the exclusion of some articles that may have limited generalisability. The Medical Subject Heading (MeSH) terms used focussed on HMB as opposed to abnormal menstrual bleeding, potentially directing the identified recommendations for clinical practice. Based on the findings of this thematic review, the use of LNG-IUS as first line therapy for those with HMB, followed by the use of combination therapy such as TA and desmopressin, would be recommended. These measures should be adopted in both primary and secondary care settings. We identified the need to strengthen counselling and communication between specialists involved in the care of those with HMB and IBD, and the need to increase awareness of HMB in IBD through public and patient education. Data availability statement All data presented is secondary to published studies and available within the public domain. Registration PROSPERO registration number: CRD42023452533 Key Messages What is already known on this topic – Heavy menstrual bleeding (HMB) is often a symptom of inherited bleeding disorders (IBD) in females and can have a significant impact on the quality of life of an individual. What this study adds – A systematic review and thematic analysis of the currently available literature allowed the identification of best practise management options for patients with IBD and HMB. A thematic synthesis was used to identify best practice for IBD patient treatment and management of HMB, which will improve patient quality of life. How this study might affect research, practice or policy – This study of existing literature and thematic synthesis has been used to provide recommendations to haematologists and gynaecologists to support evidence based best practise recommendations on how to treat patients with HMB consequent to IBDs.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.020
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
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 head0.033
GPT teacher head0.341
Teacher spread0.308 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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