Evidence map›Paper›PMID 38045447›Full record

ArticleJournal of arrhythmia2023

ECG abnormality and predictor of new-onset atrial fibrillation in hypertension and diabetes mellitus population: An observational analytic study from cardiovascular outpatient clinic at a National Cardiovascular Center in Indonesia.

Irawati Hajar Kikuko, Rerdin Julario, A'rofah Nurlina Puspitasari, Ryan Enast Intan, Yusuf Azmi, Fahrun Nisa'i Fatimah, Cornelia Ghea Savitri, Dwika Rasyid Firmanda, Lidya Pertiwi Suhandoko, Atikah S Fildzah Dini

Abstract read
In one paragraph

Article in Journal of arrhythmia, 2023. 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
–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

2 citing papers in PubMed.

  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

10 authors.

Irawati Hajar KikukoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Rerdin JularioDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
A'rofah Nurlina PuspitasariDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Ryan Enast IntanDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Yusuf AzmiDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Fahrun Nisa'i FatimahDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Cornelia Ghea SavitriDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.ORCID https://orcid.org/0000-0003-2951-4585
Dwika Rasyid FirmandaDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Lidya Pertiwi SuhandokoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.
Atikah S Fildzah DiniDepartment of Cardiology and Vascular Medicine, Faculty of Medicine Airlangga University, Dr. Soetomo General Hospital Surabaya Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Population-based studies have also found that diabetes mellitus (DM) and hypertension (HT) are independent risk factors for atrial fibrillation (AF). However, less is known about new-onset atrial fibrillation (NOAF) risk factors and its correlation with DM and HT. The aim of this study was to determine the prevalence and pattern of ECG abnormalities, and the predictor of NOAF in patients with HT and DM. Methods: This cross-sectional study was conducted at a tertiary hospital from May until December 2021. All medical record data from outpatients who had both diagnoses HT and DM were included in this study. Data from patients with unstable hemodynamics and lack of complete medical record data were excluded. Then, patient history, medical records, ECG, and laboratory information were reviewed. Results: There were 162 patients included in this study. Arrhythmia was found in 14.2% of the population, with new-onset AF (NOAF) as the most common finding with 8.6% incidence, followed by PVC (3.1%) and PAC (2.5%). Bivariate analysis showed that valvular heart disease, random blood glucose, LVEF, and infection status were associated with a higher incidence of NOA. Model from multivariate logistic regression showed that valvular heart disease and random blood glucose level were independently correlated with NOAF ( Conclusion: It can be concluded that random blood glucose level at a certain point and valvular heart disease can be used as a risk predictor of NOAF in the hypertension population with concomitant DM.

Indexed as

arrhythmiadiabetes mellitushypertensionnew‐onset atrial fibrillation

Identifiers

PMID38045447
PMCPMC10692857

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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.