Evidence map›Paper›PMID 32010437›Full record

ReviewTherapeutic advances in chronic disease2020

Clinical applications for out-of-office blood pressure monitoring.

Hailan Zhu, Haoxiao Zheng, Xinyue Liu, Weiyi Mai, Yuli Huang

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 21 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

5 authors at 2 institutions in 2 countries.

Hailan ZhuDepartment of Cardiology, Shunde Hospital, Southern Medical University, Foshan, Guangdong, China.
Haoxiao ZhengDepartment of Cardiology, Shunde Hospital, Southern Medical University, Foshan, Guangdong, China.
Xinyue LiuDepartment of Cardiology, Shunde Hospital, Southern Medical University, Foshan, Guangdong, China.
Weiyi MaiDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yuli HuangDepartment of Cardiology, Shunde Hospital, Southern Medical University, Jiazi Road 1, Lunjiao Town, Shunde District, Foshan, Guangdong 523808, China.ORCID https://orcid.org/0000-0001-5104-567X
The First People's Hospital of Shunde · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is one of the most common chronic diseases as well as the leading risk factor for cardiovascular disease (CVD). Efficient screening and accurate blood pressure (BP) monitoring are the basic methods of detection and management. However, with developments in electronic technology, BP measurement and monitoring are no longer limited to the physician's office. Epidemiological and clinical studies have documented strong evidence for the efficacy of out-of-office BP monitoring in multiple fields for managing hypertension and CVD. This review discusses applications for out-of-office BP monitoring, including home blood pressure monitoring (HBPM) and ambulatory blood pressure monitoring (ABPM), based on recent epidemiological data and clinical studies regarding the following factors: the detection of abnormal BP phenotypes, namely, white coat hypertension and masked hypertension; stronger ability to determine the prognosis for target organ damage and mortality; better BP control; screening for hypotension; and unique approaches to identifying circadian BP patterns and BP variability.

Indexed as

ambulatory blood pressure monitoringblood pressurehome blood pressure monitoringhypertensionmasked hypertensionwhite coat hypertension

Identifiers

PMID32010437
PMCPMC6974752
OpenAlexW3001804153

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.