ArticleJournal of orthopaedics
Bibliometric analysis of 100 most influential papers related to septic arthritis of native joints.
Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: Bibliometric studies have gained popularity since they are able to define the characteristics of articles on specific subjects. The aim of this study was to analyze the characteristics of 100 most-cited papers related to septic arthritis of the native joints. Methods: Web of Science database was analyzed and 100 most-cited articles about septic arthritis were determined. The characteristics of the articles including publication year, country, journal, study type, and sponsorship were recorded and investigated for any possible relationship with citation numbers. The visualization of the most commonly used keywords was made by software. Results: The highest citation number and density were 309 and 21.6, respectively. The highest contribution was from the USA with 44 articles. The most common study type was case series with 26 articles. Annals of the Rheumatic Diseases journal had the highest number of articles with 8 papers. Fifteen studies were funded. The average citation density of review articles was significantly higher than in clinical and basic science studies (p < 0.001). Citation density was positively correlated with publication year and institution number, while it was negatively correlated with the level of evidence. Conclusion: This study summarizes the general characteristics and research trends of the 100 most influential septic arthritis papers. Citation density and level of evidence performance were better in more recent articles. Additionally, citation density was higher in papers that included contributions from multiple institutions and papers with a high level of evidence. However, a high level of evidence is lacking indicating the need for better study design in future research.
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What OpenQuestion holds
Registered trials
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.