↓ Skip to main content

Mycetoma: a clinical dilemma in resource limited settings

Overview of attention for article published in Annals of Clinical Microbiology and Antimicrobials, August 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
112 Mendeley
Title
Mycetoma: a clinical dilemma in resource limited settings
Published in
Annals of Clinical Microbiology and Antimicrobials, August 2018
DOI 10.1186/s12941-018-0287-4
Pubmed ID
Authors

Pembi Emmanuel, Shyam Prakash Dumre, Stephen John, Juntra Karbwang, Kenji Hirayama

Abstract

Mycetoma is a chronic mutilating disease of the skin and the underlying tissues caused by fungi or bacteria. Although recently included in the list of neglected tropical diseases by the World Health Organization, strategic control and preventive measures are yet to be outlined. Thus, it continues to pose huge public health threat in many tropical and sub-tropical countries. If not detected and managed early, it results into gruesome deformity of the limbs. Its low report and lack of familiarity may predispose patients to misdiagnosis and delayed treatment initiation. More so in situation where diagnostic tools are limited or unavailable, little or no option is left but to clinically diagnose these patients. Therefore, an overview of clinical course of mycetoma, a suggested diagnostic algorithm and proposed use of materials that cover the exposed susceptible parts of the body during labour may assist in the prevention and improvement of its management. Furthermore, early reporting which should be encouraged through formal and informal education and sensitization is strongly suggested. An overview of the clinical presentation of mycetoma in the early and late phases, clues to distinguish eumycetoma from actinomycetoma in the field and the laboratory, differential diagnosis and a suggested diagnostic algorithm that may be useful in making diagnosis amidst the differential diagnosis of mycetoma is given. Additionally, a proposed preventive measures which may be helpful in the community is also provided. Since treatment is currently based on expert opinion, we encourage active research to establish treatment guideline for it. Since delay in visiting health facility results into gruesome complication, early presentation, recognition and initiation of appropriate choice of regimen is helpful in reducing complications. The clinical overview of mycetoma and the suggested algorithm may enhance suspicion and possibly increase recognition of mycetoma in the community and further guide in differentiation of eumycetoma from actinomycetoma. There is an urgent need for research funding for mycetoma, a disease plagued by severe physical disabilities and social stigma leading to isolation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 12%
Researcher 11 10%
Student > Bachelor 10 9%
Student > Postgraduate 8 7%
Student > Ph. D. Student 8 7%
Other 15 13%
Unknown 47 42%
Readers by discipline Count As %
Medicine and Dentistry 33 29%
Nursing and Health Professions 6 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Agricultural and Biological Sciences 4 4%
Business, Management and Accounting 2 2%
Other 12 11%
Unknown 50 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2018.
All research outputs
#20,530,891
of 23,100,534 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#537
of 611 outputs
Outputs of similar age
#289,023
of 331,118 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#6
of 8 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 611 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.