Evidence map›Paper›PMID 18449378›Full record

SynthesisMedscape journal of medicine2008

Cardiovascular high-risk patients--treat to protect, but whom?

Faiez Zannad, Anne Jakobsen, Jose Heroys, Ann Ralph, Tomas Rees, Michael Shaw

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medscape journal of medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Faiez ZannadHypertension and Heart Failure Unit, INSERM Clinical Investigation Centre, Nancy, France. f.zannad@chu-nancy.fr
Anne Jakobsen
Jose Heroys
Ann Ralph
Tomas Rees
Michael Shaw

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current guidelines for the prevention of coronary heart disease emphasize the importance of global cardiovascular risk, which requires the evaluation and treatment of multiple risk factors. Cardiovascular risk can be stratified with the Framingham algorithm, which produces a numerical score related to the presence of risk factors, such as hypertension, dyslipidemia, and smoking. However, this algorithm is not generally applicable to European countries, particularly for those countries where the risk for cardiovascular disease is low. The SCORE (Systematic COronary Risk Evaluation) project has produced risk charts that are based on cholesterol, blood pressure, and age for low-risk European countries (Belgium, France, Greece, Italy, Luxembourg, Spain, and Switzerland) and high-risk countries. Assessments of end-organ damage can provide further prognostic information, particularly in intermediate-risk patients, but the value of including additional biomarkers in risk stratification remains to be confirmed. Risk for coronary heart disease is high or very high in more than 50% of hypertensive patients. Risk appears to be underestimated in clinical practice, particularly in those patients at highest risk. Major intervention trials with angiotensin-converting enzyme inhibitors or angiotensin receptor blockers have shown that these agents reduce the risk for cardiovascular events in patients at all levels of risk, with the greatest benefits seen in those at highest risk.

Indexed as

Patient SelectionAngiotensin-Converting Enzyme InhibitorsAngiotensin II Type 1 Receptor BlockersCardiotonic AgentsCardiovascular DiseasesHumansRisk AssessmentRisk FactorsAngiotensin-Converting Enzyme InhibitorsAngiotensin II Type 1 Receptor BlockersCardiotonic Agents

Identifiers

PMID18449378
PMCPMC2344116

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.