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Risk of hormone replacement therapy in stroke patients

2000· article· en· W2101018407 on OpenAlexaff
Damczyk, David M. Gardner

Bibliographic record

VenueJournal of Clinical Pharmacy and Therapeutics · 2000
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineHormone replacement therapy (female-to-male)Stroke (engine)OsteoporosisMenopauseEndometrial cancerGenitourinary systemBreast cancerProgestinVasomotorHormone therapyGynecologyEstrogenDiseaseInternal medicineCancerTestosterone (patch)

Abstract

fetched live from OpenAlex

Hormone replacement therapy (HRT) (oestrogen with or without progestin) is often initiated with the onset of menopause to decrease symptoms of oestrogen deficiency, such as vasomotor instability (hot flashes) and urogenital effects (1-3). HRT can also prevent long-term consequences of oestrogen deficiency, such as osteoporosis and cardiovascular disease (1-3). The decision to start HRT in peri- and postmenopausal women is complicated by concerns of increased risk for thromboembolic events, uterine cancer and breast cancer (2-4). Thromboembolic stroke is a particular concern due to its association with the use of oral contraceptives with high oestrogen content (3, 4). However, for older women it has been suggested that HRT use decreases or has no effect on stroke risk (5-9). Should these findings apply to a women with a history of thromboembolism, in this case ischemic stroke?

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.128
GPT teacher head0.467
Teacher spread0.339 · 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

Citations4
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Pharmacy and TherapeuticsSame topicMenopause: Health Impacts and TreatmentsFrench-language works237,207