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Record W2125325083 · doi:10.1111/joim.12446

Benefits and risks of antihypertensive medications in the elderly

2015· review· en· W2125325083 on OpenAlexafffund
Debra A. Butt, Paula Harvey

Bibliographic record

VenueJournal of Internal Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsThe Scarborough HospitalWomen's College HospitalUniversity of Toronto
FundersDepartment of Family and Community Medicine, University of Toronto
KeywordsMedicineOrthostatic vital signsDementiaObservational studyClinical trialDiabetes mellitusBlood pressureDiseaseIntensive care medicineCognitive declinePopulationInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Hypertension is highly prevalent in older age and accounts for a large proportion of cardiovascular (CV) morbidity and mortality worldwide. Isolated systolic hypertension is more common in the elderly than younger adults and associated with poor outcomes such as cerebrovascular disease and acute coronary events. International guidelines are inconsistent in providing recommendations on optimal blood pressure targets in hypertensive elderly patients as a result of the limited evidence in this population. Evidence from clinical trials supports the use of antihypertensive drugs in hypertensive elderly patients due to benefits in reducing CV disease and mortality. However, elderly participants in these trials may not be typical of elderly patients seen in routine clinical practice, and the potential risks associated with use of antihypertensive drugs in the elderly are not as well studied as younger participants. Therefore, the purpose of this review was to provide a comprehensive summary of the benefits and risks of the use of antihypertensive drugs in elderly patients (aged ≥65 years), highlighting landmark clinical trials and observational studies. We will focus on specific outcomes relating to the benefits and risks of these medications in hypertensive elderly patients, such as CV disease, cognitive decline, dementia, orthostatic hypotension, falls, fractures, cancer and diabetes, in order to provide an update of the most relevant and current evidence to help inform clinical decision-making.

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)0.001
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 score0.947
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.220
GPT teacher head0.425
Teacher spread0.205 · 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

Citations45
Published2015
Admission routes2
Has abstractyes

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