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Record W4388595261 · doi:10.1016/j.diabres.2023.111010

Sex hormone-binding globulin and heart failure hospitalizations in patients with dysglycemia

2023· article· en· W4388595261 on OpenAlexaff
Anne Wang, Sibylle Hess, Shun Fu Lee, Hertzel C. Gerstein

Bibliographic record

VenueDiabetes Research and Clinical Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersSanofi
KeywordsSex hormone-binding globulinMedicineHeart failureHazard ratioInternal medicineTestosterone (patch)Diabetes mellitusProportional hazards modelAndrogenEndocrinologyHormoneConfidence interval

Abstract

fetched live from OpenAlex

INTRODUCTION: Sex hormone-binding globulin (SHBG), which binds most of circulating testosterone in blood, has been linked to dysglycemia and cardiovascular disease but the relationship with heart failure remains unclear. AIM: To study the relation between SHBG and heart failure hospitalizations. METHODS: SHBG levels were analysed in dysglycemic participants at high cardiovascular risk (n = 8401) followed for a median of 6.2 years in the Outcome Reduction with an Initial Glargine Intervention trial. Cox regression was used to estimate hazard ratios (HRs) per one standard deviation increase for heart failure hospitalizations adjusted for age, comorbidities, biochemical data (including testosterone) and pharmacological treatment. RESULTS: 5553 men and 2848 women were included. Heart failure hospitalizations occurred in 349 (6.3 %) men and 123 (4.3 %) women. One standard deviation increase in SHBG was independently associated with an increased risk of heart failure hospitalizations in men (HR 1.15, 95 % CI 1.03-1.28; p = 0.011) but not in women (HR 1.15; 95 % CI 0.96-1.39; p = 0.14). CONCLUSIONS: In patients with dysglycemia and high cardiovascular risk, increasing SHBG was associated with greater risk of HF hospitalizations independent of testosterone concentrations in men but not in women, suggesting the effects could be mediated through androgen-independent pathways.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.414
Teacher spread0.367 · 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.

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
Published2023
Admission routes1
Has abstractyes

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