Observational studyEmerging microbes & infections2021
Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China.
Observational study in Emerging microbes & infections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Talaromyces marneffei, Coccidioides species, and Paracoccidioides species-a systematic review to inform the World Health Organization priority list of fungal pathogens.Medical mycology · 2024Pooled it
- Clinical utility of CT-based deep learning for differentiating pulmonary aspergillosis from bacterial pneumonia: a multicenter retrospective study.Journal of thoracic disease · 2026Article
- B cell immune response to Talaromyces marneffei infection in HIV-negative patients and rat models.BMC infectious diseases · 2026Article
- Applications of artificial intelligence for real-world evidence generation: a protocol for a living scoping review.BMJ open · 2026Article
- Mechanisms ofVirulence · 2025Article
- Effectiveness of voriconazole therapy for pulmonary cryptococcosis in fluconazole treatment failure: a multicenter real-world study.BMC infectious diseases · 2025Article
- Article
- Epidemiology of and Risk Factors Associated with Mortality from Invasive Pulmonary Fungal Infection in Non-Neutropenic Patients in China: A 10-Year Retrospective Study.The American journal of tropical medicine and hygiene · 2025Article
- Global, Regional, and National Burden of Pulmonary Fungal Infections 1990-2021.American journal of respiratory and critical care medicine · 2025Article
- Fungal Infections in Transplant Recipients Pre- and Post-coronavirus Disease 2019: Results from a Single-Center Retrospective Cohort Study.Mycopathologia · 2025Article
- Clinical Features of Invasive Fungal Disease in China Tertiary Hospital: A Prospective, Multicenter Study.Mycopathologia · 2025Article
- Economic evaluation of treating invasive aspergillosis with isavuconazole, posaconazole and voriconazole in China.Future microbiology · 2025Article
- The significance of metagenomic next-generation sequencing and targeted next-generation sequencing in the diagnostic evaluation of patients with suspected pulmonary infections.Frontiers in cellular and infection microbiology · 2025Article
- A serum galactomannan and neutrophil-to-lymphocyte ratio-based nomogram for predicting in-hospital mortality in non-neutropenic invasive pulmonary aspergillosis.Frontiers in cellular and infection microbiology · 2025Article
- Cryptococcal pericarditis with unexplained lymphadenopathy in an immunocompetent patient: a case report.Frontiers in medicine · 2025Article
- Machine learning-based high-specificity diagnostic model forFrontiers in microbiology · 2025Article
- Limitations of inflammatory biomarkers in differentiating patients with fungal pneumonia and bacterial co-infection.Current medical mycology · 2025Article
- Th1 cell immune response inMicrobiology spectrum · 2024Article
- Hospitalization, case fatality, comorbidities, and isolated pathogens of adult inpatients with pneumonia from 2013 to 2022: a real-world study in Guangzhou, China.BMC infectious diseases · 2024Article
- Serum sphingolipids aid in diagnosing adult HIV-negative patients with pulmonary cryptococcosis: a clinical cohort study.Journal of thoracic disease · 2023Article
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, the prevalence trend of pulmonary fungal infection (PFI) has rapidly increased. Changes in the risk factors for, distributions of underlying diseases associated with and clinical characteristics of some individual PFIs have been reported in the past decade. However, data regarding PFIs remain uncertain. This study reports the epidemiological characteristics and trends of PFIs over time in recent years. We applied an automated natural language processing (NLP) system to extract clinically relevant information from the electronic health records (EHRs) of PFI patients at the First Affiliated Hospital of Guangzhou Medical University. Then, a trend analysis was performed. From January 1, 2013, to December 31, 2019, 40,504 inpatients and 219,414 outpatients with respiratory diseases were screened, in which 1368 inpatients and 1313 outpatients with PFI were identified. These patients were from throughout the country, but most patients were from southern China. Upward trends in PFIs were observed in both hospitalized patients and outpatients (
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