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Record W2903115111 · doi:10.1089/gyn.2018.0058

Resolution of Abnormal Uterine Bleeding After Hysteroscopic Morcellation of Endometrial Polyps

2018· article· en· W2903115111 on OpenAlexaff
Sarah Maheux‐Lacroix, Jennifer Mennen, Amy Laura Arnold, Aaron Budden, Erin Nesbitt‐Hawes, HaRyun Won, Jason Abbott

Bibliographic record

VenueJournal of Gynecologic Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsUniversité LavalCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsMedicineEndometrial PolypSurgeryHysteroscopyUterine bleedingProspective cohort studyPatient satisfaction

Abstract

fetched live from OpenAlex

Abstract Objective: The aim of this research was to assess symptom resolution and reintervention rates following hysteroscopic morcellation of benign polyps in women with abnormal uterine bleeding (AUB). Materials and Methods: This prospective cohort study involved women with AUB who underwent hysteroscopic resection with mechanical morcellation of benign polyps that were confirmed histopathologically. Need for further surgery, patients' satisfaction, symptom resolution, and postoperative complications were documented by direct patient contacts. Results: A total of 48 women were included in the study over a mean follow-up period of 29 ± 13 months. Each of these women had their polyps removed completely in single procedures, with a high satisfaction rate of 85% (41/48). No intra- or postoperative complications occurred. Over the long term, 18/48 (38%) of the women had recurrences or persistence of at least one of their symptoms, and 16% (8/48) required subsequent surgery. Conclusions: While successful removal of polyps with hysteroscopic morcellation is usual, failure to resolve AUB symptoms is high and adjuvant treatment should be considered.

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)0.001
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 score0.008
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.295
Teacher spread0.263 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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