Evidence map›Paper›PMID 38506314›Full record

ArticleAnatolian journal of cardiology2024

Publication Trends on Infective Endocarditis: Comprehensive Bibliometric Analysis and Visualization Between 1892 and 2022.

Yağmur Ekenoğlu Merdan, Okan Aydoğan

Open access · diamondAbstract read
In one paragraph

Article in Anatolian journal of cardiology, 2024. 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
2.7field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Yağmur Ekenoğlu MerdanDepartment of Medical Microbiology, Biruni University School of Medicine, İstanbul, Türkiye.
Okan AydoğanDepartment of Medical Microbiology, İstanbul Medipol University School of Medicine, İstanbul, Türkiye.
Biruni University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, studies reported that the incidence of infective endocarditis (IE) has increased despite the decrease in rheumatic heart diseases, great advances in medical and surgical treatment methods, and prophylactic antibiotic therapies. However, there is no bibliometric analysis based on the visual mapping method in the literature. In the study, we aimed to analyze the hot topics in IE, the distribution of publications in terms of country, institution, journal, author, and their relationships by assessing IE articles published in the 130 years between 1892 and 2022.

methodsPublications before 2023 were analyzed using the keywords 'infective' and 'endocarditis' in the Scopus database.

resultsApproximately 25% of the publications on IE were from the USA followed by Japan, France, and the UK. A total of 116 keywords were used at least 15 times and the keywords were categorized into 9 clusters by the VOSviewer program. The keywords used more than 100 times except 'infective endocarditis' were 'echocardiography,' 'mortality,' 'surgery,' 'Staphylococcus aureus,' 'cardiac surgery,' 'epidemiology,' and 'prognosis' 247, 191, 152, 142, 130, 122, and 119 times, respectively. To the best of our knowledge, the study is the most comprehensive study globally on IE with the widest time range including the visual mapping method.

conclusionSince our study reveals the changes in the literature related to infective endocarditis, we think that it will be a guide in planning new research studies. We believe that periodic repetition of bibliometric analyses and keyword mapping studies will contribute to the quantitative and qualitative development of scientific productivity globally.

Identifiers

PMID38506314
PMCPMC11059227
OpenAlexW4394755641

What OpenQuestion holds

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LicenceCC BY-NC
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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.