↓ Skip to main content

Necrotizing fasciitis: strategies for diagnosis and management

Overview of attention for article published in World Journal of Emergency Surgery, August 2007
Altmetric Badge

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Necrotizing fasciitis: strategies for diagnosis and management
Published in
World Journal of Emergency Surgery, August 2007
DOI 10.1186/1749-7922-2-19
Pubmed ID
Authors

Korhan Taviloglu, Hakan Yanar

Abstract

Necrotizing fasciitis (NF) is uncommon and difficult to diagnose, and it cause progressive morbidity until the infectious process is diagnosed and treated medically and surgically. The literature addressed NF contains confusing information, inaccurate bacteriologic data, and antiquated antibiotic therapy. A delay in diagnosis is associated with a grave prognosis and increased mortality. The main goal of the clinician must be to establish the diagnosis and initially treat the patient within the standard of care. This review is planned as a guide for the clinician in making an early diagnosis of NF and initiating effective medical and surgical therapy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Spain 1 1%
Unknown 76 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Student > Bachelor 12 15%
Researcher 6 8%
Student > Postgraduate 6 8%
Student > Doctoral Student 5 6%
Other 18 23%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 43 55%
Immunology and Microbiology 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Unspecified 2 3%
Other 6 8%
Unknown 18 23%