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Diagnosis and Treatment of Mucormycosis in Patients withHematological Malignancies[Translated Article]

Overview of attention for article published in Medical Mycology Journal, January 2017
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Title
Diagnosis and Treatment of Mucormycosis in Patients withHematological Malignancies[Translated Article]
Published in
Medical Mycology Journal, January 2017
DOI 10.3314/mmj.17.013
Pubmed ID
Authors

Yuki Asano-Mori

Abstract

The risk of invasive fungal infections (IFIs) is extremely high in patients with hematological malignancies due to the prolonged and profound neutropenia and immunosuppression after chemotherapy and hematopoietic stem cell transplantation. There has been increasing interest in mucormycosis despite its relatively uncommon occurrence, because occasional breakthrough infections have been observed under anti-Aspergillus prophylaxis. The aggressive nature of mucormycosis easily leads to high mortality because of delays in diagnosis and incorrect treatment decisions, which are due in part to lack of adjunctive diagnostic tools and having similar clinical and radiological features with invasive aspergillosis. The only currently available antifungals against Mucorales in Japan are amphotericin B formulations. Thus, comprehensive therapeutic strategies, including surgery, should be considered to achieve a successful outcome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 15%
Other 3 11%
Student > Bachelor 3 11%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 11 41%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Arts and Humanities 1 4%
Chemical Engineering 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 11%
Unknown 12 44%