Uterine Artery Embolization in Tanzania: A Procedure with Major Public Health Implications
Bibliographic record
Abstract
Introduction: The burden of uterine fibroids in sub-Saharan Africa is substantial with up to 80% of black women harboring them in their lifetime. With few treatment options currently available in the region, this study explores the potential role of uterine artery embolization (UAE) as an alternative to surgery. Method(s): A single-center, retrospective cohort study was conducted at Tanzania's first IR service on all patients who underwent UAE for the management of symptomatic fibroids or adenomyosis from October 2018 to April 2022. All UAEs were performed by Tanzanian IR fellows as primary operators. Demographic, clinical baseline, radiological, procedural, and follow-up data were recorded prospectively in a REDCap database. Patients were followed in an outpatient IR clinic. Descriptive statistical analysis was performed. Result(s): A total of 36 patients underwent UAE for management of symptomatic fibroids and one for adenomyosis during the study period. Of these, 29 (78.4%) presented with abnormal uterine bleeding and 12 (32.4%) with bulk symptoms. No complications were observed and 36/37 (97.3%) UAEs were considered technically successful. Conclusion(s): This demonstrated capacity in UAE has major public health implications not only for fibroids, but also shows promise to address the region's leading cause of maternal mortality, postpartum hemorrhage. Publication History Article published online: 09 February 2023 © 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/) Thieme Medical and Scientific Publishers Pvt. Ltd. A-12, 2nd Floor, Sector 2, Noida-201301 UP, India
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".