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Major Clinical Trials of Hypertension

2005· article· en· W2145541448 on OpenAlexfundno aff

Bibliographic record

VenueHypertension · 2005
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
FundersDuke Clinical Research InstituteLouisiana State UniversityCenters for Medicare and Medicaid ServicesHealth Science Center, University of TennesseeTufts University School of MedicineUniversity of Texas Health Science Center at HoustonUniversity of OttawaUniversity of WashingtonNational Heart, Lung, and Blood InstituteUniversity of MinnesotaWake Forest UniversityCase Western Reserve University
KeywordsMedicineBlood pressureRandomized controlled trialInternal medicinePopulationClinical trialPlaceboIntensive care medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

The National Heart, Lung, and Blood Institute assembled an ad hoc working group to evaluate opportunities for new major clinical trials in the field of hypertension. The mandate of this working group was to consider the possible designs of major randomized clinical trials focused on clinical outcomes that might merit significant investment by the National Institutes of Health. The group concluded that the ideal pragmatic clinical trial would have a factorial design and include a population at elevated risk of cardiovascular disease events. Subjects would be randomized to a target of systolic blood pressure <130 versus 130 to 150 mm Hg for adequate separation of means. Initial treatment with thiazide diuretic would be followed by randomization to angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, beta-blocker, calcium channel blocker, or aldosterone antagonist. A third drug could be added according to a protocol. DNA, proteins, and metabolites would be collected in a sample adequate to assess differential impact of treatment on outcome as a function of genotype, proteomic, and metabolomic expression. Subclinical markers and images would also be measured in a sample of patients to develop evidence of ability to predict ultimate effect on clinical outcomes. This ideal trial would take place within a network, funded for at least a decade, aimed at connecting primary care providers with hypertension specialists. Within the network, substudies or independent studies would be coordinated to develop a continuously improving base of knowledge about the effective delivery of hypertension care.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
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 head0.282
GPT teacher head0.399
Teacher spread0.117 · 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 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

Citations98
Published2005
Admission routes1
Has abstractyes

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