Evidence map›Paper›PMID 39297937›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2026

Very short-term blood pressure variability by pulse transit time-based measurements during night-time predicts future cardiovascular events in patients with ischemic heart disease.

Ryo Ogawara, Tomofumi Misaka, Naoto Ohashi, Shohei Ichimura, Yusuke Tomita, Tetsuya Tani, Fumiya Anzai, Yu Sato, Tetsuro Yokokawa, Akihiko Sato and 6 more

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

16 authors.

Ryo Ogawara *Department of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Tomofumi Misaka *Department of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan. misaka83@fmu.ac.jp.ORCID http://orcid.org/0000-0003-4795-9334
Naoto OhashiDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Shohei IchimuraDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Yusuke TomitaDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Tetsuya TaniDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Fumiya AnzaiDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Yu SatoDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Tetsuro YokokawaDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Akihiko SatoDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Takeshi ShimizuDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Takamasa SatoDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Masayoshi OikawaDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Atsushi KobayashiDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Akiomi YoshihisaDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Yasuchika TakeishiDepartment of Cardiovascular Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure (BP) variability (BPV) is associated with an increased risk of cardiovascular events, independent of absolute BP values. However, the predictive significance of very short-term BPV, occurring within seconds or minutes, in patients with ischemic heart disease (IHD) has yet to be established. This prospective study involved 206 consecutive hospitalized patients with IHD (mean age 67.6 years, 78.2% male) who underwent pulse transit time (PTT)-based continuous BP recording during the night-time. Very short-term BPV was assessed by standard deviation (SD), coefficient of variation (CV), and variation independent of mean (VIM) of PTT-BP. Clinical outcome data were collected. When the patients were categorized into two groups according to the median value of very short-term BPV, Kaplan-Meier analysis revealed that patients with elevated SD, CV, and VIM of systolic and diastolic PTT-BP were associated with lower event-free survival rates from the composite cardiovascular events including cardiac deaths, worsening heart failure cases, nonfatal myocardial infarctions, unplanned revascularizations, and strokes over a median follow-up of 797 days. In a multivariate Cox proportional hazards analysis adjusting for confounding variables, each parameter as a continuous variable was independently associated with adverse events. Incorporating very short-term BPV into basic models had a significant impact on risk reclassification and integrated discrimination for cardiovascular outcomes. In conclusion, the identification of patients with elevated very short-term BPV during the night-time through a PTT-driven approach helps stratify the future risk in IHD patients.

Indexed as

Blood PressureCircadian RhythmMyocardial IschemiaPulse Wave AnalysisAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisProgression-Free SurvivalProportional Hazards ModelsProspective StudiesRisk AssessmentBlood pressure variabilityCardiovascular diseaseIschemic heart diseasePrognosis

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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.