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Record W2410675747 · doi:10.1097/hjh.0000000000000988

Why in 2016 are patients with hypertension not 100% controlled? A call to action

2016· article· en· W2410675747 on OpenAlexaboutno aff
Josep Redón, Jean‐Jacques Mourad, Roland E. Schmieder, Massimo Volpe, Thomas W. Weiss

Bibliographic record

VenueJournal of Hypertension · 2016
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
FundersDaiichi Sankyo Europe
KeywordsMedicinePatient EmpowermentEmpowermentPopulationBlood pressureHealthcare systemCall to actionIntensive care medicineHealth careEconomic growthEnvironmental healthInternal medicineMarketing

Abstract

fetched live from OpenAlex

The objective is to consider the problem of high blood pressure (BP), a leading global risk factor, associated with substantial morbidity and mortality. Despite the availability of treatment guidelines and a wide range of therapies, BP control is suboptimal in many countries. Recent data indicate that only around 40% of patients manage to achieve an adequate level of BP control. A group of international experts in the field of hypertension met in 2008 to consider this problem. The resulting white paper delivered an urgent call to action and identified six key issues for improving BP control. In 2015, a working group of investigators spontaneously undertook an action with the primary aim of considering the current hypertension management situation in Europe, to discuss whether the situation had changed since 2008 and to determine what can be learnt from the projects in other continents, such as the Canadian Hypertension Education Program, which has shown that higher levels of BP control can be achieved across a general population. The working group identified the main challenges affecting the improvement of BP control today and suggests five key actions: identify the BP treatment target of less than 140/90 mmHg for the majority of patients, simplify treatment strategies and encourage pill reduction, decrease therapeutic inertia, improve patient empowerment, and involve healthcare systems and reduce the prevailing focus on drug costs in many healthcare systems. Implementing key actions identified by the working group may help to improve achievement of better BP control across Europe.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.046
GPT teacher head0.258
Teacher spread0.212 · 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

Citations73
Published2016
Admission routes1
Has abstractyes

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