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Record W4388518876 · doi:10.1097/aog.0000000000005444

Medical Management of Ovarian Endometriomas

2023· review· en· W4388518876 on OpenAlexaffabout
Alexa Eberle, Dong Bach Nguyen, Jessica Papillon‐Smith, Fady Mansour, Srinivasan Krishnamurthy, Andrew Zakhari

Bibliographic record

VenueObstetrics and Gynecology · 2023
Typereview
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsMcGill University Health Centre
FundersU.S. Department of Veterans Affairs
KeywordsMedicineOvaryGynecologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To estimate the effect of medical management on the size of ovarian endometriomas. DATA SOURCE: Online databases were searched from inception to October 2022, including Ovid MEDLINE, Ovid EMBASE, PubMed, EBM Reviews-Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrials.gov , and Web of Science. METHODS OF STUDY SELECTION: Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we included all English-language, full-text articles that reported on change in endometrioma size (either diameter or volume) after medical interventions. Studies evaluating surgical interventions or postoperative recurrence were excluded. All screening and data extraction were performed independently by two authors. Risk of bias assessment was performed with either the Cochrane Risk of Bias Tool for randomized controlled trials or a modified Newcastle-Ottawa Scale for observational studies. TABULATION, INTEGRATION, AND RESULTS: After removal of duplicates, 9,332 studies were screened, with 33 full-text articles deemed eligible for inclusion. In the meta-analysis, dienogest showed significant reduction in cyst diameter (reduction 1.32 cm, 95% CI, 0.91-1.73, eight studies, n=418 cysts) and volume (mean difference of log-transformed volume 1.35, 95% CI, 0.87-1.83, seven studies, n=282 cysts). Similarly, significant reductions were seen with the oral contraceptive pill (OCP) (1.06 cm, 95% CI, 0.59-1.53, nine studies, n=455), gonadotropin-releasing hormone (GnRH) agonists (1.17 cm, 95% CI, 0.42-1.92, four studies, n=128 cysts), norethindrone acetate (0.6 cm, 95% CI, 0.27-0.94, two studies, n=88 cysts), and danazol (1.95 cm, 95% CI, 1.18-2.73, two studies, n=34 cysts). Norethindrone acetate with aromatase inhibitor was also effective in reducing endometrioma volume (mean difference of log-transformed volume 1.47, 95% CI, 0.16-2.78, two studies, n=34 cysts). CONCLUSION: Medical management with dienogest, OCPs, GnRH agonists, norethindrone acetate, norethindrone acetate with aromatase inhibitor, or danazol can reduce the size of ovarian endometriomas. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD 42022363319.

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)0.009
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.081
GPT teacher head0.391
Teacher spread0.310 · 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 designNot applicable
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

Citations21
Published2023
Admission routes2
Has abstractyes

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