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Record W2711712425

Premature ovarian insufficiency in general practice: Meeting the needs of women.

2017· article· en· W2711712425 on OpenAlexaff
Hanh H. Nguyen, Frances Milat, Amanda Vincent

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsPremature ovarian insufficiencyPremature MenopauseMedicineInfertilityPremature ovarian failureOsteoporosisMenopauseGeneral practicePsychosocialPrimary careGynecologyOvarian reserveMedical careFollicle-stimulating hormonePregnancyHormoneInternal medicineFamily medicineLuteinizing hormonePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Premature ovarian insufficiency (POI), defined as amenorrhoea due to the loss of ovarian function before 40 years of age, can occur spontaneously or be secondary to medical therapies. POI is associated with cardiovascular morbidity, osteoporosis and premature mortality. Women with POI present in primary care with menstrual disturbance, menopausal symptoms, infertility and, often, significant psychosocial issues. General practitioners play an important role in the evaluation and long-term management of women with POI. OBJECTIVE: This article examines the diagnostic and management issues when providing care for women with POI in the primary care setting. DISCUSSION: Diagnosis of POI requires follicle-stimulating hormone (FSH) levels in the menopausal range on two occasions, at least four to six weeks apart in a woman aged.

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)0.001
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.038
GPT teacher head0.319
Teacher spread0.281 · 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
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

Citations30
Published2017
Admission routes1
Has abstractyes

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