Evidence map›Paper›PMID 33336887›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2021

Association between real-world home blood pressure measurement patterns and blood pressure variability among older individuals with hypertension: A community-based blood pressure variability study.

Jia-You Lin, Kuan-Liang Kuo, Yi-Hsin Kuo, Kun-Pin Wu, Kuo-Chung Chu, Yan-Chen Jiang, Yi-Fang Chuang, Hao-Min Cheng

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

8 authors.

Jia-You LinInstitute of Biomedical Informatics, National Yang Ming University, Taipei, Taiwan.ORCID 0000-0003-0699-2461
Kuan-Liang KuoDepartment of Family Medicine, Taipei City Hospital RenAi Branch, Taipei, Taiwan.ORCID 0000-0002-1554-1307
Yi-Hsin KuoFaculty of Medicine, National Yang Ming University, Taipei, Taiwan.ORCID 0000-0002-1137-3051
Kun-Pin WuInstitute of Biomedical Informatics, National Yang Ming University, Taipei, Taiwan.ORCID 0000-0002-3108-0221
Kuo-Chung ChuDepartment of Information Management, National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan.ORCID 0000-0001-5390-516X
Yan-Chen JiangDepartment of Information Management, National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan.ORCID 0000-0002-8719-261X
Yi-Fang ChuangInstitute of Public Health, National Yang-Ming University, Taipei, Taiwan.ORCID 0000-0002-5421-9855
Hao-Min ChengInstitute of Public Health, National Yang-Ming University, Taipei, Taiwan.ORCID 0000-0002-3885-6600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Home blood pressure (BP) monitoring is a useful tool for hypertension management. BP variability (BPV) has been associated with an increased risk of cardiovascular events. However, little is known about the correlation between BPV and different measurement patterns of long-term home BP monitoring. This longitudinal cohort study aimed to assess the associations between dynamic BP measurement patterns and BPV. A total of 1128 participants (mean age, 77.4 ± 9.3 years; male, 51%) with 23 269 behavior measuring units were included. We used sliding window sampling to classify the home BP data with a regular 6-month interval into units in a sliding manner until the data are not continuous. Three measurement patterns (stable frequent [SF], stable infrequent [SI], and unstable [US]) were assessed based on the home BP data obtained within the first 3 months of the study, and the data in the subsequent 3 months were used to assess the BPV of that unit. We used linear mixed-effects model to assess the association between BP measurement patterns and BPV with adjustment for possible confounding factors including average BP. Average real variability and coefficient variability were used as measures of the BPV. No significant differences were observed in average BP between the SF, SI, and US patterns. However, BPV in the SF group was significantly lower than that in the US and SI groups (all p-values < .05). The BPV in SI and US groups was not significantly different. A stable and frequent BP measuring pattern was independently associated with a lower BPV.

Indexed as

HypertensionAgedAged, 80 and overBlood PressureBlood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryHumansLongitudinal StudiesMaleblood pressure variabilitydigitalized home blood pressure monitoringmeasure pattern

Identifiers

PMID33336887
PMCPMC8029514

What OpenQuestion 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 OpenQuestion graph.