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Record W2160983891 · doi:10.1586/14737167.2015.965153

Utility values for pre-menopausal women suffering from symptomatic uterine fibroids

2014· article· en· W2160983891 on OpenAlexaffabout
Marg Hux, Carita Ng, Greta Lozano Ortega, Simon Ferrazzi, Ron Goeree

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2014
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare HamiltonPrograms for Assessment of Technology in Health Research Institute
Fundersnot available
KeywordsMedicineUterine fibroidsMenstrual bleedingGynecologyPelvic painQuality of life (healthcare)ObstetricsSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Uterine fibroids (UF) represent the most common benign uterine tumor in women of reproductive age. Symptoms including heavy, prolonged menstrual bleeding, pelvic pain/pressure, and/or urinary frequency have a substantial impact on women's quality of life and utility values for UF have not been published. METHODS: Health state descriptions associated with UF symptoms and treatment side effects were developed based on patient focus groups; validated using expert clinical input; and pilot tested for understandability. Using a web-based questionnaire, 909 community-dwelling, Canadian women were surveyed to assess their perceived value associated with these states. RESULTS: Utility for uncontrolled bleeding was 0.55 (95% CI: 0.54, 0.57) and the decrement associated with hot flashes was 0.06 (95% CI: -0.07, -0.04). Utility improvement associated with bleeding control was 0.18 (95% CI: 0.17, 0.19) and with smaller fibroid size was 0.03 (95% CI: 0.02, 0.04). CONCLUSION: These values illustrate the high utility associated with control of excessive menstrual bleeding.

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.519
Teacher spread0.474 · 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 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

Citations3
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueExpert Review of Pharmacoeconomics & Outcomes ResearchSame topicUterine Myomas and TreatmentsFrench-language works237,207