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Record W4415683796 · doi:10.3390/jcm14217694

How the Latest Guidelines Are Changing the Diagnostic and Therapeutic Landscape of Arterial Hypertension

2025· article· en· W4415683796 on OpenAlexaboutno aff
Maria Concetta Pastore, C C A Bellagamba, Riccardo Liga, Andrea Stefanini, Miriam Durante, Flavio D’Ascenzi, Roberto Pedrinelli, Matteo Cameli

Bibliographic record

VenueJournal of Clinical Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Risk factorMEDLINECanadian Cardiovascular SocietyRisk assessmentAlternative medicine

Abstract

fetched live from OpenAlex

Arterial hypertension (HTN) represents the major cardiovascular risk factor and still represents a global health issue. In the last two years, three international societies published the new guidelines for the treatment of HTN (European Society of Cardiology, 2025; European Society of Hypertension, 2023; and American College of Cardiology in collaboration with American Heart Association, 2025), with many novelties which have been the object of many discussions among experts. The increased stress on screening programs, the new lower targets to reach by medical treatment, and the new strategies for resistant hypertension have raised some doubt on the feasibility of these recommendations in clinical practice. In this perspective document, the authors highlight and discuss the novelties and potential pros and cons of the new international recommendations for the treatment of arterial HTN.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.136
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.136
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0010.003
Scholarly communication0.0100.009
Open science0.0020.002
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0060.003

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 head0.153
GPT teacher head0.401
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2025
Admission routes1
Has abstractyes

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