Evidence map›Paper›PMID 31000190›Full record

ReviewIndian heart journal

Ambulatory blood pressure monitoring in clinical practice.

Apaar Dadlani, Kushal Madan, J P S Sawhney

Abstract readReview
In one paragraph

Review in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  7. Review
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  9. Social Support: The Effect on Nocturnal Blood Pressure Dipping.International journal of environmental research and public health · 2023
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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

3 authors.

Apaar DadlaniDivision of Nephrology, Tufts Medical Center and Tufts University School of Medicine, Boston, MA, USA. Electronic address: apaar27@gmail.com.
Kushal MadanDharma Vira Heart Center, Sir Ganga Ram Hospital, New Delhi 110060, India. Electronic address: kushalmadan@gmail.com.
J P S SawhneyDharma Vira Heart Center, Sir Ganga Ram Hospital, New Delhi 110060, India. Electronic address: jpssawhney@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Being one of the most widely prevalent diseases throughout the world, hypertension has emerged as one of the leading causes of global premature morbidity and mortality. Hence, blood pressure (BP) measurements are essential for physicians in the diagnosis and management of hypertension. Current American College of Cardiology/American Heart Association (ACC/AHA) guidelines recommend initiating antihypertensive medications on the basis of office BP readings. However, office BP readings provide a snapshot evaluation of the patient's BP, which might not reflect patient's true BP, with the possibility of being falsely elevated or falsely low. Recently, there is ample evidence to show that ambulatory blood pressure monitoring (ABPM) is a better predictor of major cardiovascular events than BP measurements at clinic settings. ABPM helps in reducing the number of possible false readings, along with the added benefit of understanding the dynamic variability of BP. This article will focus on the significance of ambulatory BP, its advantages and limitations compared with the standard office BP measurement and a brief outlook on its use and interpretation to diagnose and treat hypertension.

Indexed as

AlgorithmsPatient ComplianceBlood PressureBlood Pressure Monitoring, AmbulatoryHumansHypertensionAmbulatory blood pressureDippingMasked hypertensionNocturnal hypertensionWhite coat hypertension

Identifiers

PMID31000190
PMCPMC6477132

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.