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Record W1982305305 · doi:10.1177/147323000303100503

Pulse Pressure Responses in Patients Treated with Valsartan and Hydrochlorothiazide Combination Therapy

2003· article· en· W1982305305 on OpenAlexfundno aff
Renzo Carretta, Peter Trenkwalder, Felipe A. Martínez, Andrzej Tykarski, Ivor Teitelbaum, Timothy Fagan, Pascale ODDOU, J-M Mallion

Bibliographic record

VenueJournal of International Medical Research · 2003
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
FundersNovartis PharmaEuropean Society of CardiologyAGE-WELLNovartisAmerican Heart Association
KeywordsHydrochlorothiazideValsartanMedicineRandomizationCombination therapyBlood pressureUrologyDiureticRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

In a randomized, double-blind, parallel-group study of middle-aged and elderly patients, we examined the effects of treatment with the angiotensin receptor blocker valsartan (Val) in combination with hydrochlorothiazide (HCTZ) on pulse pressure (PP). After a 2-week washout period, patients entered a 4-week single-blind Val 160 mg once daily run-in period before randomization to one of three treatment groups: Val 160 mg (n = 666), Val 160 mg/HCTZ 12.5 mg (n = 670) or Val 160 mg/HCTZ 25 mg (n = 666), once daily for eight weeks. Sitting PP at baseline was similar in all groups. From baseline to randomization, Val monotherapy reduced PP by 4.7 +/- 10.2 mmHg (mean +/- SD). At the end of the study, overall reductions in PP were 6.7 mmHg for Val 160/HCTZ 12.5 and 7.5 mmHg for Val 160/HCTZ 25. Val monotherapy reduced PP in mild-to-moderate hypertensive patients. Val combined with HCTZ provides an additional dose-related reduction in PP.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.381
Teacher spread0.325 · 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

Citations6
Published2003
Admission routes1
Has abstractyes

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