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Blood pressure lowering efficacy of renin inhibitors for primary hypertension

2008· reference-entry· en· W4255934781 on OpenAlexaff
Vijaya M Musini, P Fortin, Ken Bassett, James M Wright

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2008
Typereference-entry
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineRenin–angiotensin systemPlaceboBlood pressureAdverse effectInternal medicineAldosteronePharmacologyAngiotensin-converting enzymePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Hypertension is a chronic condition associated with an increased risk of mortality and morbidity. The renin-angiotensin-aldosterone system is an important target site for five antihypertensive drug classes: beta blockers, renin inhibitors, ACE inhibitors, angiotensin receptor blockers (ARBs) and aldosterone inhibitors. Renin is the enzyme responsible for converting angiotensinogen to angiotensin I, which is then converted to angiotensin II. Renin inhibitors prevent the formation of both angiotensin I and angiotensin II . Renin inhibitors do not affect kinin metabolism and may produce fewer adverse effects than ACE inhibitors such as dry cough or angioedema. OBJECTIVES: To quantify the dose-related blood pressure lowering efficacy of renin inhibitors versus placebo in the treatment of primary hypertension. SEARCH STRATEGY: We searched the following databases for randomised, double blind, placebo-controlled trials of renin inhibitors: Medline (1966-March 2008), EMBASE (1988-March 2008), Cochrane CENTRAL, and bibliographic citations from retrieved references. No language restrictions were applied. SELECTION CRITERIA: Study design had to meet the following criteria: double-blinded, placebo-controlled; random allocation to a specific dose of renin inhibitor group and parallel placebo group; duration of follow-up of at least three weeks. DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and assessed trial quality using risk of bias tables. Disagreements were resolved by discussion or a third reviewer. Data synthesis and analyses were done using the Cochrane Review Manager software, RevMan 5. Data for continuous variables were combined using a weighted mean difference method. Dichotomous variables were analysed using relative risk. MAIN RESULTS: Six trials (N=3694) met the inclusion criteria for this review. Aliskiren was the only renin inhibitor studied in these studies. The meta-analysis shows that aliskiren has a dose-related both systolic/diastolic blood pressure lowering effect as compared to placebo: aliskiren 75 mg -2.9/-2.3 mmHg, aliskiren 150 mg -5.5/-3.0 mmHg, aliskiren 300 mg -8.7/-5.0, aliskiren 600 mg -11.4/-6.6 mmHg. Aliskiren 300 mg significantly lowered both SBP and DBP as compared to aliskiren 150 mg (SBP:-2.97 (95% CI -3.99, -1.95) and DBP: -1.66 (95% CI -2.32, -1.0). Aliskiren has no effect on blood pressure variability. No data was available to assess the effect of aliskiren on heart rate and pulse pressure. This review found weak evidence that with short- term use, aliskiren does not increase withdrawals due to adverse effects as compared to placebo. AUTHORS' CONCLUSIONS: Aliskiren has a dose-related blood pressure lowering effect better than placebo. This effect is similar to that determined for ACE inhibitors and ARBs.

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.079
GPT teacher head0.316
Teacher spread0.237 · 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 designSystematic review
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

Citations23
Published2008
Admission routes1
Has abstractyes

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