Evidence map›Paper›PMID 35330056›Full record

ArticleJournal of clinical medicine2022

The Differential Prognostic Impact of Long-Duration Atrial High-Rate Episodes Detected by Cardiac Implantable Electronic Devices between Patients with and without a History of Atrial Fibrillation.

Hironori Ishiguchi, Yasuhiro Yoshiga, Akihiko Shimizu, Takeshi Ueyama, Makoto Ono, Masakazu Fukuda, Takayoshi Kato, Shohei Fujii, Masahiro Hisaoka, Tomoyuki Uchida and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

14 authors at 1 institution in 1 country.

Hironori IshiguchiDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.ORCID 0000-0003-4597-7862
Yasuhiro YoshigaDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Akihiko ShimizuDepartment of Cardiology, Ube-Kohsan Central Hospital, Ube 755-0151, Japan.
Takeshi UeyamaDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Makoto OnoDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Masakazu FukudaDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.ORCID 0000-0003-2241-7256
Takayoshi KatoDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.ORCID 0000-0001-9723-242X
Shohei FujiiDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Masahiro HisaokaDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Tomoyuki UchidaDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Takuya OmuroDepartment of Medicine and Clinical Science, Faculty of Health Sciences, Yamaguchi University Graduate School of Medicine, Ube 755-8505, Japan.
Takayuki OkamuraDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.ORCID 0000-0001-9671-4232
Shigeki KobayashiDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Masafumi YanoDepartment of Medicine and Clinical Science, Division of Cardiology, Yamaguchi University Graduate School of Medicine, Ube 755-8508, Japan.
Yamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-duration atrial high-rate episodes (AHREs) monitored using cardiac implantable electronic devices (CIEDs) can predict long-term major adverse cardiovascular events (MACEs). This study aimed to compare the impact of long-duration AHRE on MACE development between patients with and without a history of atrial fibrillation (AF). This single-center observational study included 132 CIED-implanted patients with AHREs detected via remote monitoring. The population was dichotomized into groups: with (n = 69) and without (n = 63) AF. In each group, cumulative incidences of MACEs comprising all-cause deaths, heart failure hospitalizations, strokes, and acute coronary syndromes were compared between patients with AHRE durations of ≥24 h and <24 h. Multivariate analysis was performed to identify predictors of MACEs among patients without AF. MACE incidence was significantly higher in patients with AHRE ≥24 h than in those with <24 h in the group without AF (92% vs. 30%, p = 0.005). MACE incidence did not significantly differ between AHRE ≥24 h and <24 h in the group with AF (54% vs. 26%, p = 0.44). After a multivariate adjustment, AHRE duration of ≥24 h emerged as the only independent predictor of MACEs among patients without AF (p = 0.03). In conclusion, a long-duration AHRE was prognostic in patients without a history of AF but not in patients with a history of AHREs.

Indexed as

atrial high-rate episodecardiac implantable electronic devicelong-duration AHREmajor adverse cardiovascular eventprognostic value

Identifiers

PMID35330056
PMCPMC8954400
OpenAlexW4220744786

What OpenQuestion holds

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Registered trials

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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.