MétaCan
Menu
Back to cohort
Record W2048068126 · doi:10.1016/j.ejheart.2007.02.001

Sex Differences in the Effectiveness of Angiotensin Receptor Blockers and Angiotensin Converting Enzyme Inhibitors in Patients with Congestive Heart Failure — A Population Study

2007· article· en· W2048068126 on OpenAlexaff
Marie Hudson, Elham Rahme, Hassan Behlouli, Richard Sheppard, Louise Pilote

Bibliographic record

VenueEuropean Journal of Heart Failure · 2007
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
Fundersnot available
KeywordsMedicineHeart failureHazard ratioInternal medicineAngiotensin-converting enzymeConfidence intervalCardiologyACE inhibitorAngiotensin Receptor BlockersPopulationBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND: Angiotensin converting enzyme (ACE) inhibitors and angiotensin receptor blockers (ARBs) have been shown to improve survival in patients with congestive heart failure (CHF). We wish to determine whether there are sex-related differences in the optimal treatment of congestive heart failure. METHODS: Using administrative databases, all patients >>=65 years of age discharged with a diagnosis of CHF between January 1998 and March 2003 and who filled a prescription for an ARB or an ACE inhibitor within 90 days of discharge were identified. Time to all-cause death in women and men on ACE inhibitors or ARBs was compared. RESULTS: There were 10,223 women (8627 ACE inhibitors and 1596 ARBs) and 9475 men (8484 ACE inhibitors and 991 ARBs). Hypertension was more common in women (50.1%) than men (33.1%). Women on ARBs had better survival than those on ACE inhibitors (adjusted hazard ratio (HR) 0.69, 95% confidence interval (CI) 0.59, 0.80). There was no difference in survival in men prescribed ARBs compared to ACE inhibitors (HR 1.10, 95% CI 0.95, 1.30). CONCLUSION: These sex differences in treatment-related outcome are important but should be confirmed in a randomized trial before ARBs are preferentially prescribed to women with CHF.

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)0.004
metaresearch head score (Gemma)0.000
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 score0.009
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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)0.0000.000

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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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

Citations116
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Heart FailureSame topicHeart Failure Treatment and ManagementFrench-language works237,207