Background: The preferential citation of studies with the highest success rates could exaggerate perceived effectiveness, particularly for treatments with widely varying published success rates such as radiofrequency catheter ablation for atrial fibrillation.
Methods And Results: We systematically identified observational studies and clinical trials of radiofrequency catheter ablation of atrial fibrillation between 1990 and 2012. Generalized Poisson regression was used to estimate association between study success rate and total citation count, adjusting for sample size, journal impact factor, time since publication, study design, and whether first or last author was a consensus-defined pre-eminent expert. We identified 174 articles meeting our inclusion criteria (36 289 subjects). After adjustment only for time since publication, a 10-point increase above the mean in pooled reported success rates was associated with a 17.8% increase in citation count at 5 years postpublication (95% confidence interval, 7.1-28.4%; P<0.001). After additional adjustment for impact factor, sample size, randomized trial design, and pre-eminent expert authorship, the association remained significant (18.6% increase in citation count; 95% confidence interval, 7.6-29.6%; P<0.0001). In this full model, time since publication, impact factor, and pre-eminent expert authorship were significant covariates, whereas randomized control trial design and study sample size were not.
Conclusions: Among studies of radiofrequency catheter ablation of atrial fibrillation, high success rate was independently associated with citation count, which may indicate citation bias. To readers of the literature, radiofrequency catheter ablation of atrial fibrillation could be perceived to be more effective than the data supports. These findings may have implications for a wide variety of novel cardiovascular therapies.
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http://dx.doi.org/10.1161/CIRCOUTCOMES.114.000912 | DOI Listing |
J Conserv Dent Endod
November 2024
Department of Conservative Dentistry and Endodontics, Maulana Azad Institute of Dental Sciences, BSZ Marg, New Delhi, India.
Introduction: Vital pulp therapy (VPT) aims to preserve dental pulp after injury and has gained significant popularity due to advancements in materials and understanding of pulp biology. While bibliometric analyses are common in various fields, none have been conducted specifically for the 100 most-cited articles on VPT.
Materials And Methods: This bibliometric study analyzed the 100 most-cited VPT papers using data from Web of Science (WoS-CC), Scopus, and Google Scholar.
J Breath Res
January 2025
Clínica, Patologia e Cirurgia Odontológicas, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, Pampulha, Belo Horizonte, Minas Gerais, 31270-901, BRAZIL.
Halitosis has a multifactorial etiology being of interest by different health areas. The aim of this study was to perform a bibliometric and altmetric analyses of the top 100 most-cited papers on halitosis to provide a comprehensive view of their scientific and alternative metrics. This would give perspectives on citation dynamics and online attention of the research outputs.
View Article and Find Full Text PDFToxics
November 2024
Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.
Non-targeted screening (NTS) technology has been showing significant potential in identifying contaminants of emerging concern (CECs) in water and has attracted great attention in academia in recent years. It is a method that analyzes samples without pre-selecting substances, enabling the detection and identification of unknown compounds, which is crucial for environmental health and public protection. This study uses the Bibliometrix package in R 4.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address:
Background: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, and automation. However, the evolution of AI in SOT research remains underexplored.
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