Evidence map›Paper›PMID 29457339›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2018

Subjective sleep quality, blood pressure, and hypertension: a meta-analysis.

Kenneth Lo, Brigitte Woo, Martin Wong, Wilson Tam

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

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

  1. Subjective sleep quality, blood pressure, and hypertension: a meta-analysis.Journal of clinical hypertension (Greenwich, Conn.) · 2018
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kenneth LoSchool of Public Health and Primary Care, The Chinese University of Hong Kong, New Territories, Hong Kong.
Brigitte WooAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Martin WongThe Nethersole School of Nursing, The Chinese University of Hong Kong, New Territories, Hong Kong.
Wilson TamAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-0641-3060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep quality is an important aspect of sleep, but no meta-analysis has elucidated its relationship with blood pressure (BP) and hypertension. A meta-analysis was conducted in October 2016 using multiple databases, including Embase and Medline. Studies that assessed subjective sleep quality and BP or hypertension were included. Upon full-text evaluation, 29 articles from 45 041 patients were selected, of which 22 articles were included in the meta-analysis and seven were presented narratively. Poor sleep quality was significantly associated with a greater likelihood of hypertension (odds ratio, 1.48; P value = .01). Poor sleepers had higher average systolic BP (mean difference = 4.37, P value = .09) and diastolic BP (mean difference = 1.25, P value = .32) than normal sleepers without statistical significance. Patients with hypertension had significantly worse sleep quality scores (mean difference = 1.51, P value < .01), while BP dippers had significantly better scores (mean difference = -1.67, P value < .01). The findings highlight the relationship between sleep quality and hypertension.

Indexed as

Blood PressureBlood Pressure DeterminationFemaleHumansHypertensionMaleSleep Wake Disordersblood pressurehypertensionmeta-analysissleep quality

Identifiers

PMID29457339
PMCPMC8031314

What OpenQuestion holds

Textmetadata
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.