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Knowledge framework and emerging trends of invasive pulmonary fungal infection: A bibliometric analysis (2003–2023)

Summary

This study examined 20 years of scientific research on invasive lung fungal infections using bibliometric analysis. The research found that the United States leads in fungal infection research, with emerging focus areas including COVID-19-associated fungal infections and new diagnostic methods like metagenomic sequencing. The findings show that diagnosis remains challenging and requires improved detection methods, while treatment typically involves antifungal medications like voriconazole and amphotericin-B.

Background

Invasive pulmonary fungal infections (IPFIs) are prevalent and often fatal, particularly in immunocompromised individuals. The rising number of immunocompromised people has increased concerns about fungal infections as a severe public health issue. Understanding the research landscape and emerging trends in IPFI is crucial for advancing the field.

Objective

To provide a comprehensive overview of the field’s characteristics, main research areas, development paths, and emerging trends in invasive pulmonary fungal infection research through bibliometric analysis. The study aims to identify key productivity leaders, hot topics, and future research directions in IPFI.

Results

The USA led with 514 publications (34.38%), followed by China and the UK. The University of Manchester was the most productive institution with 87 papers. Top keywords included ‘fungal infection,’ ‘invasive,’ ‘diagnosis,’ and ‘epidemiology.’ Emerging research areas identified include COVID-19-associated pulmonary aspergillosis, influenza-associated pulmonary aspergillosis, and metagenomic next-generation sequencing.

Conclusion

Research on IPFI has surged over the past 2 decades with increasing depth and sophistication. International collaboration exists but requires further enhancement. Emerging frontiers include influenza, COVID-19, invasive pulmonary aspergillosis, and metagenomic next-generation sequencing as promising diagnostic and research approaches.
  • Published in:Medicine (Baltimore),
  • Study Type:Bibliometric Analysis,
  • Source: PMID: 39432658, DOI: 10.1097/MD.0000000000040068
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