Evidence map›Paper›PMID 33390042›Full record

ReviewHypertension (Dallas, Tex. : 1979)2021

Ambulatory Blood Pressure Monitoring to Diagnose and Manage Hypertension.

Qi-Fang Huang, Wen-Yi Yang, Kei Asayama, Zhen-Yu Zhang, Lutgarde Thijs, Yan Li, Eoin O'Brien, Jan A Staessen

Open access · hybridAbstract readReview
In one paragraph

Review in Hypertension (Dallas, Tex. : 1979), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 4 pooled it
14.8field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 4 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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  9. Arterial blood pressure waveform reconstruction estimation from PPG using TCN-BiLSTM.American heart journal plus : cardiology research and practice · 2026
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19 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 4 countries.

Qi-Fang HuangFrom the Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital (Q.-F.H., Y.L.), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wen-Yi YangDepartment of Cardiology, Shanghai General Hospital (W.-Y.Y), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kei AsayamaDepartment of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan (K.A.).
Zhen-Yu ZhangResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (K.A., Z.-Y.Z., L.T., J.A.S).
Lutgarde ThijsResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (K.A., Z.-Y.Z., L.T., J.A.S).
Yan LiFrom the Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluations, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital (Q.-F.H., Y.L.), Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Eoin O'BrienConway Institute, University College Dublin, Ireland (E.O.B.).
Jan A StaessenResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (K.A., Z.-Y.Z., L.T., J.A.S).
Shanghai Jiao Tong University · CNKU Leuven · BERode Kruis-Vlaanderen · BETeikyo University · JPUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review portrays how ambulatory blood pressure (BP) monitoring was established and recommended as the method of choice for the assessment of BP and for the rational use of antihypertensive drugs. To establish much-needed diagnostic ambulatory BP thresholds, initial statistical approaches evolved into longitudinal studies of patients and populations, which demonstrated that cardiovascular complications are more closely associated with 24-hour and nighttime BP than with office BP. Studies cross-classifying individuals based on ambulatory and office BP thresholds identified white-coat hypertension, an elevated office BP in the presence of ambulatory normotension as a low-risk condition, whereas its counterpart, masked hypertension, carries a hazard almost as high as ambulatory combined with office hypertension. What clinically matters most is the level of the 24-hour and the nighttime BP, while other BP indexes derived from 24-hour ambulatory BP recordings, on top of the 24-hour and nighttime BP level, add little to risk stratification or hypertension management. Ambulatory BP monitoring is cost-effective. Ambulatory and home BP monitoring are complimentary approaches. Their interchangeability provides great versatility in the clinical implementation of out-of-office BP measurement. We are still waiting for evidence from randomized clinical trials to prove that out-of-office BP monitoring is superior to office BP in adjusting antihypertensive drug treatment and in the prevention of cardiovascular complications. A starting research line, the development of a standardized validation protocol for wearable BP monitoring devices, might facilitate the clinical applicability of ambulatory BP monitoring.

Indexed as

Disease ManagementBlood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryCircadian RhythmHumansHypertensionblood pressuremorbiditymortalitypopulationrisk

Identifiers

PMID33390042
PMCPMC7803442
OpenAlexW3119776854

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.