Evidence map›Paper›PMID 37174992›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Interpretation of Ambulatory Blood Pressure Monitoring for Risk Stratification in Hypertensive Patients: The 'Ambulatory Does Prediction Valid (ADPV)' Approach.

Fabio Angeli, Gianpaolo Reboldi, Francesco Giuseppe Solano, Antonietta Prosciutto, Antonella Paolini, Martina Zappa, Claudia Bartolini, Andrea Santucci, Stefano Coiro, Paolo Verdecchia

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. 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
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
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

10 authors at 4 institutions in 1 country.

Fabio AngeliDepartment of Medicine and Technological Innovation (DiMIT), University of Insubria, 21100 Varese, Italy.ORCID 0000-0003-4925-7985
Gianpaolo ReboldiDepartment of Medicine, and Centro di Ricerca Clinica e Traslazionale (CERICLET), University of Perugia, 06100 Perugia, Italy.ORCID 0000-0002-9877-0702
Francesco Giuseppe SolanoDivision of Nephrology, Hospital S. Maria della Misericordia, 33100 Perugia, Italy.
Antonietta ProsciuttoUSL Umbria 1, 06127 Perugia, Italy.
Antonella PaoliniUSL Umbria 1, 06127 Perugia, Italy.
Martina ZappaDepartment of Medicine and Surgery, University of Insubria, 21100 Varese, Italy.ORCID 0000-0001-8443-5316
Claudia BartoliniDivision of Cardiology, Hospital S. Maria della Misericordia, 06100 Perugia, Italy.
Andrea SantucciDivision of Cardiology, Hospital S. Maria della Misericordia, 06100 Perugia, Italy.ORCID 0000-0003-2578-2179
Stefano CoiroDivision of Cardiology, Hospital S. Maria della Misericordia, 06100 Perugia, Italy.
Paolo VerdecchiaDivision of Cardiology, Hospital S. Maria della Misericordia, 06100 Perugia, Italy.
Azienda Ospedaliera di Perugia · ITUniversity for Foreigners Perugia · ITUniversity of Insubria · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several outcome-based prospective investigations have provided solid data which support the prognostic value of 24 h ambulatory blood pressure over and beyond cardiovascular traditional risk factors. Average 24 h, daytime, and nighttime blood pressures are the principal components of the ambulatory blood pressure profile that have improved cardiovascular risk stratification beyond traditional risk factors. Furthermore, several additional ambulatory blood pressure measures have been investigated. The correct interpretation in clinical practice of ambulatory blood pressure monitoring needs a standardization of methods. Several algorithms for its clinical use have been proposed. Implementation of the results of ambulatory blood pressure monitoring in the management of individual subjects with the aim of improving risk stratification is challenging. We suggest that clinicians should focus attention on ambulatory blood pressure components which have been proven to act as the main independent predictors of outcome (average 24 h, daytime, and nighttime blood pressure, pulse pressure, dipping status, BP variability).

Indexed as

ambulatory blood pressureambulatory blood pressure monitoringblood pressureepidemiologyhypertensionprognosis

Identifiers

PMID37174992
PMCPMC10178200
OpenAlexW4367627596

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.