Evidence map›Paper›PMID 34092728›Full record

ArticleInternal medicine (Tokyo, Japan)2021

Association between Changes in the Systolic Blood Pressure from Evening to the Next Morning and Night Glucose Variability in Heart Disease Patients.

Tomohiro Shimizu, Hiroyasu Uzui, Yusuke Sato, Machiko Miyoshi, Yuichiro Shiomi, Kanae Hasegawa, Hiroyuki Ikeda, Naoto Tama, Yoshitomo Fukuoka, Tetsuji Morishita and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 1 institution in 1 country.

Tomohiro ShimizuDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Hiroyasu UzuiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Yusuke SatoDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Machiko MiyoshiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Yuichiro ShiomiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Kanae HasegawaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Hiroyuki IkedaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Naoto TamaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Yoshitomo FukuokaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Tetsuji MorishitaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Kentaro IshidaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Shinsuke MiyazakiDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
Hiroshi TadaDepartment of Cardiovascular Medicine, Faculty of Medical Sciences, University of Fukui, Japan.
University of Fukui · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectve To assess the impact of glycemic variability on blood pressure in hospitalized patients with cardiac disease. Methods In 40 patients with cardiovascular disease, the glucose levels were monitored by flash continuous glucose monitoring (FGM; Free-Style Libre™ or Free-Style Libre Pro; Abbott, Witney, UK) and self-monitoring blood glucose (SMBG) for 14 days. Blood pressure measurements were performed twice daily (morning and evening) at the same time as the glucose level measurement using SMBG. Results The detection rate of hypoglycemia using the FGM method was significantly higher than that with the 5-point SMBG method (77.5% vs. 5.0%, p<0.001). Changes in the systolic blood pressure from evening to the next morning [morning - evening (ME) difference] were significantly correlated with night glucose variability (r=0.63, P<0.001). A multiple regression analysis showed that night glucose variability using FGM was more closely correlated with the ME difference [r=0.62 (95% confidence interval, 0.019-0.051); p<0.001] than with the age, body mass index, or smoking history. Night glucose variability was also more closely associated with the ME difference in patients with unstable angina pectoris (UAP) than in those with acute myocardial infarction (AMI) or heart failure (HF) (r=0.83, p=0.058). Conclusion Night glucose variability is associated with the ME blood pressure difference, and FGM is more accurate than the 5-point SMBG approach for detecting such variability.

Indexed as

Blood Glucose Self-MonitoringHeart DiseasesBlood GlucoseBlood PressureGlucoseHumansBlood GlucoseGlucosecardiovascular diseasesflash continuous glucose monitoring systemglycemic variability

Identifiers

PMID34092728
PMCPMC8666227
OpenAlexW3169573823

What Socratic 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 Socratic graph.