Evidence map›Paper›PMID 29403578›Full record

ArticleOnline journal of public health informatics2017

The Use of Electronic Medical Record Data to Analyze the Association Between Atrial Fibrillation and Birth Month.

Koji Matsuda, Keunsik Park, Hiroaki Tatsumi, Ryoko Kitada, Minoru Yoshiyama

Open access · goldAbstract read
In one paragraph

Article in Online journal of public health informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Koji MatsudaMatsuda Eye Clinic, Sennan, Osaka, Japan.
Keunsik ParkDepartment of Medical Informatics, Osaka City University Hospital, Osaka, Osaka, Japan.
Hiroaki TatsumiDepartment of Cardiovascular Medicine, Osaka City University Graduate School of Medicine, Osaka, Osaka, Japan.
Ryoko KitadaDepartment of Cardiovascular Medicine, Osaka City University Graduate School of Medicine, Osaka, Osaka, Japan.
Minoru YoshiyamaDepartment of Cardiovascular Medicine, Osaka City University Graduate School of Medicine, Osaka, Osaka, Japan.
Osaka City University · JPHara Eye Hospital · JPOsaka City University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCardiovascular disease is a condition of enormous public health concern. Recently, a population study newly revealed associations between cardiovascular diseases and birth month. Here, we investigated the association between atrial fibrillation in cardiovascular disease and birth month.

methodsWe retrospectively extracted birth date data from 6,016 patients with atrial fibrillation (3,876 males; 2,140 females) from our electronic medical records. The number of live births in Japan fluctuates seasonally. Therefore, we corrected the number of patients for each birth month based on a Japanese population survey report. Then, a test of the significance of the association between atrial fibrillation and birth month was performed using a chi-square test. In addition, we compared the results of an analysis of patient data with that of simulated data that showed no association with birth month.

resultsThe deviations of birth month were not significant (overall:

conclusionAn association between atrial fibrillation and birth month could not be confirmed in our Japanese study. However, this might be due to differences in ethnicity. Further epidemiologic studies on this topic may result in reduction of disease risk in the general population and contribute to public health.

Indexed as

atrial fibrillationbirth monthcardiovascular diseasemelatoninseason of birth

Identifiers

PMID29403578
PMCPMC5790432
OpenAlexW2781805613

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.