Evidence map›Paper›PMID 18345711›Full record

ReviewClinical drug investigation2008

Economic benefits of treating high-risk hypertension with angiotensin II receptor antagonists (blockers).

Antonio Coca

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical drug investigation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Antonio CocaHypertension Unit, Department of Internal Medicine, Institute of Medicine and Dermatology, Hospital Clínico, University of Barcelona, Barcelona, Spain. acoca@clinic.ub.es
Hospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is one of the leading risk factors for cardiovascular disease and represents a major health and economic burden. Most patients with high- or very high-risk hypertension have multiple cardiovascular risk factors with or without accompanying subclinical organ damage or established cardiovascular or renal disease. Patients with severe hypertension or with moderate hypertension and one to two additional risk factors have absolute 10-year risks of cardiovascular disease of 21-30% and 15-20%, respectively. Current European treatment guidelines recommend that antihypertensive therapy be initiated rapidly and aggressively in patients with high-risk hypertension. Most patients require two or more antihypertensive agents to achieve the strict blood pressure target of <130/80 mmHg. This article reviews the existing cost-effectiveness data on the use of angiotensin II receptor antagonists (blockers) [ARBs] in patients with high-risk hypertension. Aggressive ARB treatment of patients in the early (microalbuminuric) stages of diabetic nephropathy has a significant renoprotective effect, delaying the onset of overt (proteinuric) nephropathy. By slowing the progression of these patients to end-stage renal disease, substantial cost savings can be made. There is a paucity of cost-effectiveness data regarding the use of fixed-dose ARB plus thiazide diuretic combination therapies. Longitudinal cost-benefit studies of this attractive and efficacious first-line treatment option are needed.

Indexed as

Angiotensin II Type 1 Receptor BlockersBlood PressureCost-Benefit AnalysisHumansHypertensionOutcome Assessment, Health CareQuality-Adjusted Life YearsAngiotensin II Type 1 Receptor Blockers

Identifiers

PMID18345711
OpenAlexW2002985238

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.