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Record W2032908886 · doi:10.1097/fjc.0b013e318093e50d

Novel Drugs Targeting Hypertension: Renin Inhibitors and Beyond

2007· review· en· W2032908886 on OpenAlexaff
Eyal Leibovitz, Ernesto L. Schiffrin

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2007
Typereview
Languageen
FieldMedicine
TopicRenin-Angiotensin System Studies
Canadian institutionsMcGill UniversityJewish General HospitalCanadian Institutes of Health Research
Fundersnot available
KeywordsRenin–angiotensin systemPharmacologyMedicineRenin inhibitorInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

The idea of renin inhibition is not new, and evidence of attempts to block its activity can be found in the literature as early as the 1950s. Throughout the latter half of the 20th century, development of renin inhibitors encountered many problems. Only recently, after the x-ray crystallography of its active site, new and effective renin inhibitors have been developed. The purpose of this review is to describe the basic evidence to support the efficacy of these agents and to elaborate on new possibilities of their use and combination with other antihypertensive drugs.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.049
GPT teacher head0.341
Teacher spread0.292 · 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
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

Citations9
Published2007
Admission routes1
Has abstractyes

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