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Record W4295760465 · doi:10.1093/eurheartj/ehac432

Harmonization of the American College of Cardiology/American Heart Association and European Society of Cardiology/European Society of Hypertension Blood Pressure/Hypertension Guidelines

2022· article· en· W4295760465 on OpenAlexaboutno aff
Paul K. Whelton, Robert M. Carey, Giuseppe Mancia, Reinhold Kreutz, Joshua D. Bundy, Bryan Williams

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGuidelineHarmonizationConcordanceBlood pressureCardiologyInternal medicineCanadian Cardiovascular SocietyIntensive care medicineFamily medicinePathology

Abstract

fetched live from OpenAlex

The 2017 American College of Cardiology/American Heart Association and 2018 European Society of Cardiology/European Society of Hypertension clinical practice guidelines for management of high blood pressure/hypertension are influential documents. Both guidelines are comprehensive, were developed using rigorous processes, and underwent extensive peer review. The most notable difference between the 2 guidelines is the blood pressure cut points recommended for the diagnosis of hypertension. There are also differences in the timing and intensity of treatment, with the American College of Cardiology/American Heart Association guideline recommending a somewhat more intensive approach. Overall, there is substantial concordance in the recommendations provided by the 2 guideline-writing committees, with greater congruity between them than their predecessors. Additional harmonization of future guidelines would help to underscore the commonality of their core recommendations and could serve to catalyze changes in practice that would lead to improved prevention, awareness, treatment, and control of hypertension, worldwide.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.070
GPT teacher head0.281
Teacher spread0.211 · 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

Citations100
Published2022
Admission routes1
Has abstractyes

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