Evidence map›Paper›PMID 34321616›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2021

Difference between morning and evening home blood pressure and cardiovascular events: the J-HOP Study (Japan Morning Surge-Home Blood Pressure).

Keisuke Narita, Satoshi Hoshide, Kazuomi Kario

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Beyond office blood pressure: J-SAMIT and the emerging era of implementation hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Blood pressure variability: a review.Journal of hypertension · 2025
    Review
  11. Review
  12. Effects of obstructive sleep apnea on nocturnal changes in blood pressure - a retrospective study.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  13. Article
  14. Assessment of blood pressure variability: characteristics and comparison of blood pressure measurement methods.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Home blood pressure-centered approach - from digital health to medical practice: HOPE Asia Network consensus statement 2023.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  19. Digital hypertension towards to the anticipation medicine.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  20. 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

3 authors at 1 institution in 1 country.

Keisuke NaritaDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.
Satoshi HoshideDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan.
Kazuomi KarioDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan. kkario@jichi.ac.jp.
Jichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the relationship of the difference between morning and evening systolic blood pressure (BP) (MEdif) in home BP with cardiovascular disease (CVD) incidence. To assess this relationship, we used data from the nationwide practice-based J-HOP (Japan Morning Surge-Home BP) study, which recruited 4258 cardiovascular risk participants (mean age 64.9 years; 46.8% men; 79.2% using antihypertensive medications) who underwent morning and evening home BP monitoring using a validated, automated device for 14 consecutive days. During a mean ± SD follow-up of 6.2 ± 3.8 years (26,295 person-years), 269 CVD events occurred. Adjusted Cox models suggested that higher MEdif (≥20 mmHg) was associated with higher CVD risks than was medium MEdif (0-20 mmHg) independent of the average morning and evening (MEave) home systolic BP (SBP) (adjusted hazard ratio [HR]: 1.40; 95% confidence interval [CI] 1.02-1.91). We also divided participants into four BP phenotype groups as follows: "both non-elevated" (MEdif < 20 mmHg and MEave SBP < 135 mmHg), "elevated-MEdif" (MEdif ≥ 20 mmHg and MEave SBP < 135 mmHg), "elevated-MEave" (MEdif < 20 mmHg and MEave SBP ≥ 135 mmHg), and "both elevated" (MEdif ≥ 20 mmHg and MEave SBP ≥ 135 mmHg). The cumulative incidence of CVD events was higher in patients with the "elevated-MEdif," "elevated-MEave," and "both elevated" phenotypes than in those with the "both non-elevated" phenotype. After adjusting for covariates, the "both elevated" phenotype was associated with higher CVD risk than the "both non-elevated" phenotype (adjusted HR: 1.64; 95% CI: 1.09-2.46). This is the first study demonstrating a direct correlation between CVD outcomes and the difference between morning and evening home SBP.

Indexed as

Cardiovascular DiseasesHypertensionAgedAntihypertensive AgentsBlood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmFemaleHumansJapanMaleMiddle AgedAntihypertensive Agentscardiovascular riskgeneral practiceHome blood pressure monitoringmorning minus evening systolic blood pressure difference

Identifiers

PMID34321616
OpenAlexW3186971615

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.