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Record W4385264108 · doi:10.1111/imj.16189

Revisiting resistant hypertension: a comprehensive review

2023· review· en· W4385264108 on OpenAlexafffund
Ryan Chan, Wryan Helmeczi, Swapnil Hiremath

Bibliographic record

VenueInternal Medicine Journal · 2023
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersDepartment of Medicine, Georgetown UniversityUniversity of Ottawa
KeywordsMedicineIntensive care medicineGuidelineStroke (engine)Incidence (geometry)Blood pressurePsychological interventionAdverse effectHeart failureRisk factorDiureticDiabetes mellitusResistant hypertensionObesityInternal medicinePathologyEndocrinology

Abstract

fetched live from OpenAlex

Resistant hypertension (RHT) is typically defined as blood pressure that remains above guideline-directed targets despite the use of three anti-hypertensives, usually including a diuretic, at optimal or maximally tolerated doses. It is generally estimated to affect 10-30% of those diagnosed with hypertension, though the true incidence might be lower after one factor in the prevalence of non-adherence. Risk factors for its development include diabetes, obesity and other adverse lifestyle factors, and a diagnosis of RHT confers a greater risk of adverse cardiovascular outcomes, such as stroke, heart failure and mortality. It is essential to exclude pseudoresistance and secondary hypertension and to ensure non-pharmacologic management is optimised prior to consideration of fourth-line anti-hypertensive agents or advanced interventions, such as device therapies. In this review, we will cover the different definitions of RHT, along with the importance of careful diagnosis and management strategies, and discuss newer agents and research needs.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.222
GPT teacher head0.416
Teacher spread0.193 · 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 designNot applicable
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

Citations16
Published2023
Admission routes2
Has abstractyes

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