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Primary Prevention With Statin Therapy in the Elderly

2017· review· en· W2604860179 on OpenAlexaffabout
Paul M. Ridker, Eva Lonn, Nina P. Paynter, Robert J. Glynn, Salim Yusuf

Bibliographic record

VenueCirculation · 2017
Typereview
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsMedicinePrimary preventionStatinHydroxymethylglutaryl-CoA Reductase InhibitorsAtherosclerotic cardiovascular diseaseIntensive care medicineInternal medicinePhysical therapyDisease

Abstract

fetched live from OpenAlex

T he use of statin therapy for secondary prevention is established in all age groups. 1 However, in primary prevention, current cardiovascular guidelines in the United States and Canada describe the role for statin therapy in the elderly as uncertain.To examine this question, we performed a meta-analysis of age-specific outcome data from 2 recent primary prevention statin trials, JUPITER (Justification for Use of Statins in Prevention: An Intervention Trial Evaluating Rosuvastatin) 2 and HOPE-3 (Heart Outcomes Prevention Evaluation). 3We combined new subgroup data from these contemporary trials using a fixed-effect meta-analysis with inverse variance weighting of the log hazard ratios by age group (<65, 65-<70, and ≥70 years) using the meta package in R (R version 3.2.3).The pooled treatment effect within each subgroup was estimated, as was the between-subgroup heterogeneity statistic, Q.The JUPITER trial, published in 2008, evaluated rosuvastatin 20 mg daily among 17 802 men and women free of cardiovascular disease with low-density lipoprotein cholesterol levels <130 mg/dL and high-sensitivity C-reactive protein levels >2 mg/L. 2 For the end point of hard atherosclerotic cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death), the JUPITER trial overall reported a 47% reduction in risk (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.40-0.69;P<0.0001), as well as a 20% reduction in all-cause mortality (HR, 0.80; 95% CI, 0.67-0.97;P=0.02).As shown in the Figure (top), for the 5695 JUPITER participants ≥70 years of age, a comparable 39% reduction in risk was found for this combined cardiovascular end point (HR, 0.61; 95% CI, 0.43-0.86;P=0.004); a nonsignificant 20% reduction in all-cause mortality in this age strata (HR, 0.80; 95% CI, 0.62-1.0;P=0.09) was previously reported. 4These elderly participants, representing 32% of the total JUPITER population, suffered 55% of all the hard atherosclerotic cardiovascular events occurring in the trial.In JUPITER, effects were consistent across age groups, and a formal test for heterogeneity was nonsignificant.Rates of drug withdrawal in the rosuvastatin groups were 14.3%, 17.0%, and 21.6% among those <65, 65 to <70, and ≥70 years of age, respectively.The HOPE-3 trial, published in 2016, evaluated rosuvastatin 10 mg daily among 12 705 men and women free of cardiovascular disease who were at intermediate risk. 3For the identical end point of hard atherosclerotic cardiovascular events, the HOPE-3 trial overall reported a 24% reduction in risk (HR, 0.76; 95% CI, 0.64-0.91;P=0.002) and a 7% nonsignificant reduction in all-cause mortality (HR, 0.93; 95% CI, 0.80-1.08;P=0.32).As also shown in the Figure (top), for the 3086 HOPE-3 participants ≥70 years of age, a comparable nonsignificant 17% reduction in risk was found for the combined cardiovascular end point (HR, 0.83; 95% CI, 0.64-1.07;P=0.16), as well as a comparable nonsignificant 9% reduction in all-cause mortality (HR, 0.91; 95% CI, 0.73-1.13;P=0.38).In HOPE-3, those ≥70 years of age represented 24% of the total trial population yet suffered 43% of all the hard atherosclerotic cardiovascular events.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.109
GPT teacher head0.377
Teacher spread0.268 · 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 designOther design
Domainnot available
GenreReview

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

Citations137
Published2017
Admission routes2
Has abstractyes

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