Evidence map›Paper›PMID 20047622›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2010

Efficacy of an olmesartan medoxomil-based treatment algorithm in patients stratified by age, race, or sex.

Suzanne Oparil, Eduardo Pimenta

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Suzanne OparilDivision of Cardiovascular Diseases, University of Alabama at Birmingham, Birmingham, AL 35294-0007, USA. suzanne.oparil@ccc.uab.edu
Eduardo Pimenta
Princess Alexandra Hospital · AUUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demographic factors are known to influence the prevalence of hypertension, and evidence suggests that they may also influence the response of patients with hypertension to blood pressure (BP)-lowering therapies. To determine the effect of demographic factors on the efficacy and safety of an olmesartan medoxomil (OM)-based treatment regimen, we performed a prespecified subgroup analysis of a 12-week, randomized, placebo-controlled, titrate-to-goal study in patients with hypertension, stratifying patients into treatment groups according to age, sex, or race. After 12 weeks, OM-based therapy significantly reduced BP from baseline in blacks, non-blacks, men, women, and patients younger than 65 or 65 years and older compared with placebo, and enabled 51.9% to 79.5% of patients to achieve a BP goal of <140/90 mm Hg. The differences in BP-lowering efficacy of OM-based therapy between subgroups were not clinically significant, and treatment was generally well tolerated in all groups. This study demonstrates that an OM-based treatment algorithm is an effective and safe option for achieving recommended BP goal in patients with hypertension including blacks, non-blacks, men, women, and patients younger than 65 or 65 years and older.

Indexed as

AgedAge FactorsAntihypertensive AgentsFemaleHumansHypertensionImidazolesMaleMiddle AgedOlmesartan MedoxomilRacial GroupsRisk AssessmentSex FactorsTetrazolesTreatment OutcomeAntihypertensive AgentsImidazolesOlmesartan MedoxomilTetrazoles

Identifiers

PMID20047622
PMCPMC8673424
OpenAlexW2052702970

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.