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Association between diabetes mellitus and multi-drug-resistant tuberculosis: a protocol for a systematic review and meta-analysis

Overview of attention for article published in Systematic Reviews, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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3 X users

Citations

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153 Mendeley
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Title
Association between diabetes mellitus and multi-drug-resistant tuberculosis: a protocol for a systematic review and meta-analysis
Published in
Systematic Reviews, January 2017
DOI 10.1186/s13643-017-0407-9
Pubmed ID
Authors

Balewgizie Sileshi Tegegne, Tesfa Dejenie Habtewold, Melkamu Merid Mengesha, Johannes G.M. Burgerhof

Abstract

Multi-drug-resistant tuberculosis (MDR-TB) has emerged as a challenge to global tuberculosis (TB) control and remains a major public health concern in many countries. Diabetes mellitus (DM) is an increasingly recognized comorbidity that can both accelerate TB disease and complicate its treatment. The aim of this study is to summarize available evidence on the association of DM and MDR-TB among TB patients and to provide a pooled estimate of risks. All studies published in English before October 2016 will be searched using comprehensive search strings through PubMed, EMBASE, Web of Science, and WHO Global Health Library databases which have reported the association of DM and MDR-TB in adults with TB (age > =15). Two authors will independently collect detailed information using structured data abstraction form. The quality of studies will be checked using Newcastle-Ottawa Scale for cohort and case-control studies and the Agency for Healthcare Research and Quality tool for cross-sectional studies. Heterogeneity between included studies will be assessed using the I(2) statistic. We will check potential publication bias by visual inspection of the funnel plot and Egger's regression test statistic. We will use the random effects model to compute a pooled estimate. Increases in the burden of non-communicable diseases and aging populations are changing the importance of different risk factors for TB, and the profile of comorbidities and clinical challenges for people with TB. Although classic risk factors and comorbidities such as overcrowding, under-nutrition, silicosis, and HIV infection are crucial to address, chronic conditions like diabetes are important factors that impair host defenses against TB. Thus, undertaking integrated multifaceted approach is remarkably necessary for reducing the burden of DM and successful TB treatment outcome. PROSPERO CRD42016045692 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Unknown 152 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Researcher 17 11%
Student > Ph. D. Student 17 11%
Student > Bachelor 14 9%
Student > Postgraduate 10 7%
Other 24 16%
Unknown 39 25%
Readers by discipline Count As %
Medicine and Dentistry 47 31%
Nursing and Health Professions 24 16%
Immunology and Microbiology 11 7%
Social Sciences 7 5%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 14 9%
Unknown 45 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 March 2017.
All research outputs
#13,005,966
of 22,940,083 outputs
Outputs from Systematic Reviews
#1,373
of 2,004 outputs
Outputs of similar age
#201,256
of 421,728 outputs
Outputs of similar age from Systematic Reviews
#25
of 35 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 30th percentile – i.e., 30% 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 421,728 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.