Uterine fibroids and Black people of African descent globally: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Evidence suggests that when adjusted for age and other factors such as Body Mass Index, age of first pregnancy, years since last pregnancy and alcohol consumption, Black women are three times more likely to suffer from fibroids compared with the general population. When compared with the general population, Black women experience larger uterine fibroids with an earlier onset and more frequent and severe symptoms debilitating symptoms. Reported symptoms include pelvic pain, bladder issues, and heavy and/or abnormal menstrual bleeding. For Black women in perimenopause or menopause, uterine fibroids are more likely to continue growing rather than slow or cease. To design empirical research that addresses the issue of uterine fibroids among Black people of African descent, it is important to understand the current state of literature on this issue. The objectives of this scoping review are to understand and describe the extent and type of literature available regarding Black people of African descent with uterine fibroids globally, to identify the gaps within existing literature, and to provide recommendations for future research. METHODS AND ANALYSIS: This scoping review will be conducted in accordance with JBI scoping review methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist. Eligibility criteria for this review include sources that involve Black people of African descent who have uterine fibroids. This review is global in context and does not include jurisdictional, geographical, regional or study setting restrictions. A comprehensive search strategy developed in collaboration with a health sciences librarian will be used to identify and retrieve relevant peer-reviewed and grey literature. Databases including CINAHL (EBSCO), MEDLINE (Ovid), Embase (Elsevier), Gender Studies Database (EBSCO), Scopus (Elsevier) and LILACS (VHL) will be searched from inception to January 2024. Unpublished studies and grey literature searches will include The Society for Women's Health Research, Black Women's Health Imperative, ProQuest Dissertations and Theses Global (ProQuest), Open Access Theses and Dissertations (OATD.org) and Google search. All relevant sources will be uploaded to Covidence and undergo title and abstract screening by two independent team members. Selected sources will then undergo full-text review by two independent team members. Sources meeting the eligibility criteria will undergo extraction by two independent team members. Thematic analysis will be used to classify the extracted data points into categories according to the purpose or objective of the source, the methods used, the geographical region or jurisdiction of the source, key findings and recommendations. The synthesis of results will align with the review objective and question using charts or tables where necessary. ETHICS AND DISSEMINATION: This scoping review does not require ethical approval. Dissemination of the review results includes the publication of a full report in a peer-reviewed journal as well as presenting the review results at local, national and international conferences. The results of the scoping review will also be disseminated through community events and social media using infographics and brochures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.079 | 0.072 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.013 |
| Bibliometrics | 0.018 | 0.013 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.075 | 0.013 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".