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Assessment of antihypertensive activity in the regulatory setting

2001· article· en· W2327951893 on OpenAlexaff
Martin G. Myers, Raymond J. Lipicky

Bibliographic record

VenueBlood Pressure Monitoring · 2001
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineBlood pressureAntihypertensive drugCasualAmbulatory blood pressureAmbulatoryDosingDrugFood and drug administrationPharmacologyPlaceboInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Before a new antihypertensive drug receives regulatory approval, it must demonstrate a significant blood pressure-lowering effect over its entire dosing interval. The Food and Drug Administration recognizes several different methods for demonstrating antihypertensive activity, the gold standard continuing to be the office/casual blood pressure at the end of the dosing interval (trough). There should be at least two studies demonstrating a significant antihypertensive effect, at least one of which should include a placebo. Data obtained using ambulatory blood pressure monitoring are used for showing the time-course of the antihypertensive effect, particular attention being given to possible marked differences between the drug's maximum (peak) effect and its activity during the trough. In Europe, the Committee for Proprietary Medicinal Products also considers the office/casual blood pressure at trough to be a primary measure of outcome, responder rates using office/casual readings also being noted. The Committee recommends that data be obtained using ambulatory blood pressure monitoring in order to demonstrate a drug's antihypertensive activity. In addition, it specifically requests that a trough : peak ratio be calculated, whereas the Food and Drug Administration does not require this information.

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)0.027
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.309
Teacher spread0.276 · 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 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

Citations7
Published2001
Admission routes1
Has abstractyes

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