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Record W1976752040 · doi:10.14740/jcgo.v3i2.239

The Comparison of Ovarian Reserve After Uterine Artery Embolization and Hysterectomy for Uterine Fibroma

2014· article· en· W1976752040 on OpenAlexvenueno aff
Firoozeh Veisi‎, Negin Rezavand, Maryam Zangeneh, Shilir Fallahi, Mansour Rezaei

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2014
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUterine artery embolizationHysterectomyOvarian reserveEmbolizationGynecologyFibromaVaginal bleedingObstetricsSurgeryPregnancyPathology

Abstract

fetched live from OpenAlex

Background: The purpose of this study was to compare the ovarian reserve before and after uterine artery embolization and hysterectomy for uterine fibroma treatment. Methods: After obtaining the approval of the Ethics Committee of Kermanshah Medical University, this study was carried out in Imam Reza Hospital. Between March 2011 and May 2013, 66 women who suffered from symptomatic fibroma were studied. Hysterectomy with retained ovaries was done on 33 patients and uterine artery embolization (UAE) was done on the other 33 patients. The levels of hemoglobin (Hb), follicle stimulating hormone (FSH) and ovarian follicle size before and 6 months after the operation was measured. Vaginal bleeding, reintervention, hot flash and cost in both procedures were studied. Results: No significant difference was observed after 6 months between the two groups (P = 0.356). In each group one case with FSH above 10 IU/L was observed. The existence of dominant follicle and the size of it was the same in the two groups (P = 0.390). But the level of Hb was higher in women under embolization 6 months after intervention (P = 0.001). The average level of pain after hysterectomy was higher than embolization. The cost of embolization was 12 times higher than hysterectomy. Conclusion: This study indicated that UAE in young women had no impact on the ovarian reserve and did not increase the level of FSH. Long term studies regarding reproductive assessment and menopausal age in women with history of UEA are necessary. J Clin Gynecol Obstet. 2014;3(2):62-67 doi: http: //dx.doi.o rg/10.14740/jcgo239 w

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.053
GPT teacher head0.408
Teacher spread0.355 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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