Evidence map›Paper›PMID 23585237›Full record

ReviewCurrent hypertension reports2013

Role of ambulatory blood pressure monitoring in resistant hypertension.

Guido Grassi, Michele Bombelli, Gino Seravalle, Gianmaria Brambilla, Raffaella Dell'oro, Giuseppe Mancia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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 at 1 institution in 1 country.

Guido GrassiClinica Medica, Dipartimento di Medicina Clinica, Prevenzione e Biotecnologie Sanitarie, Università Milano-Bicocca, Ospedale San Gerardo, Via Pergolesi, 33, 20052, Monza, Milan, Italy. guido.grassi@unimib.it
Michele Bombelli
Gino Seravalle
Gianmaria Brambilla
Raffaella Dell'oro
Giuseppe Mancia
University of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambulatory blood pressure monitoring has gained growing popularity in the diagnosis and treatment of essential hypertension for several reasons, such as the lack of the so-called white-coat effect, the greater reproducibility as compared with clinic blood pressure, the ability to provide information on blood pressure phenomena of prognostic value and the closer relationship with the risk of cardiovascular morbidity and mortality. All the above-mentioned main features of ambulatory blood pressure monitoring are also true for resistant hypertension. In addition, however, in resistant hypertension, blood pressure monitoring allows one to precisely define the diagnosis of this clinical condition, by excluding the presence of white-coat hypertension, which is responsible for a consistent number of "false" resistant hypertensive cases. The approach also allows one to define the patterns of blood pressure variability in this clinical condition, as well as its relationships with target organ damage. Finally, it allows one to assess the effects of therapeutic interventions, such as renal nerves ablation, aimed at improving blood pressure control in this hypertensive state. The present paper will critically review the main features of ambulatory blood pressure monitoring in resistant hypertension, with particular emphasis on the diagnosis and treatment of this high-risk hypertensive state.

Indexed as

Blood Pressure Monitoring, AmbulatoryAntihypertensive AgentsBlood PressureHumansHypertensionReproducibility of ResultsAntihypertensive Agents

Identifiers

PMID23585237
OpenAlexW1996862311

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.