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24‐Hour Ambulatory Blood Pressure Response to Combination Valsartan/Hydrochlorothiazide and Amlodipine/Hydrochlorothiazide in Stage 2 Hypertension by Ethnicity: The EVALUATE Study

2010· article· en· W2010324441 on OpenAlexaff
Jackson T. Wright, Yves Lacourcière, Rita Samuel, Dion Zappe, Das Purkayastha, Henry R. Black

Bibliographic record

VenueJournal of Clinical Hypertension · 2010
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsHydrochlorothiazideMedicineAmlodipineValsartanAmbulatory blood pressureAmbulatoryBlood pressureInternal medicineDiastoleUrologyCardiologyEndocrinology

Abstract

fetched live from OpenAlex

Several studies reported racial/ethnic differences in blood pressure (BP) response to antihypertensive monotherapy. In a 10-week study of stage 2 hypertension, 320/25 mg valsartan/hydrochlorothiazide (HCTZ) reduced ambulatory BP (ABP) significantly more effectively than 10/25 mg amlodipine/HCTZ. Results (post hoc analysis) are described in Caucasians (n=256), African Americans (n=79), and Hispanics (n=86). Compared with clinic-measured BP (no significant treatment-group differences in ethnic subgroups), least-squares mean reductions from baseline to week 10 in mean ambulatory systolic BP (MASBP) and mean ambulatory diastolic BP (MADBP) favored valsartan/HCTZ over amlodipine/HCTZ in Caucasians (-21.9/-12.7 mm Hg vs -17.6/-9.5 mm Hg; P=.0004/P<.0001). No treatment-group differences in MASBP/MADBP were observed in African Americans (-17.3/-10.6 vs -17.9/-9.5; P=.76/P=.40) or Hispanics (-17.9/-9.7 vs -14.2/-7.2; P=.20/P=.17). Based on ABP monitoring, valsartan/HCTZ is more effective than amlodipine/HCTZ in lowering ABP in Caucasians. In African Americans and Hispanics, both regimens are similarly effective.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.374
Teacher spread0.303 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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