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Mendeley readers
Attention Score in Context
| Title |
Beijing clades of Mycobacterium tuberculosis are associated with differential survival in HIV-negative Russian patients
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|---|---|
| Published in |
Infection, Genetics & Evolution, August 2015
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| DOI | 10.1016/j.meegid.2015.08.028 |
| Pubmed ID | |
| Authors |
Yanina Balabanova, Vladyslav Nikolayevskyy, Olga Ignatyeva, Irina Kontsevaya, Svetlana Mironova, Alexander Kovalyov, Andrey Kritsky, Yulia Rodionova, Ivan Fedorin, Nicola Casali, Richard Hooper, Rolf D. Horstmann, Sergey Nejentsev, Sven Hoffner, Peter Nuernberg, Francis Drobniewski |
| Abstract |
We conducted a prospective study to establish factors associated with survival in tuberculosis patients in Russia including social, clinical and pathogen-related genetic parameters. Specifically we wished to determine whether different strains/clades of the Beijing lineage exerted a differential effect of survival. HIV-negative culture-confirmed cases were recruited during 2008-2010 across Samara Oblast and censored in December 2011. Molecular characterization was performed by a combination of spoligotyping, multilocus VNTR typing and whole genome sequencing (WGS). We analyzed 2602 strains and detected a high prevalence of Beijing family (n=1933; 74%) represented largely by two highly homogenous dominant clades A (n=794) and B (n=402) and non-A/non-B (n=737). Multivariable analysis of 1366 patients with full clinical and genotyping data showed that multi- and extensive drug resistance (HR=1.86; 95%CI: 1.52, 2.28 and HR=2.19; 95%CI: 1.55, 3.11) had the largest impact on survival. In addition older age, extensive lung damage, shortness of breath, treatment in the past and alcohol abuse reduced survival time. After adjustment for clinical and demographic predictors there was evidence that clades A and B combined were associated with poorer survival than other Beijing strains (HR=0.48; 95%CI 0.34, 0.67). All other pathogen-related factors (polymorphisms in genes plcA, plcB, plcC, lipR, dosT and pks15/1) had no effect on survival. In conclusion, drug resistance exerted the greatest effect on survival of TB patients. Nevertheless we provide evidence for the independent biological effect on survival of different Beijing family strains even within the same defined geographical population. Better understanding of the role of different strain factors in active disease and their influence on outcome is essential. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 31% |
| Researcher | 10 | 16% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 23% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Immunology and Microbiology | 8 | 13% |
| Agricultural and Biological Sciences | 6 | 9% |
| Nursing and Health Professions | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 10 | 16% |
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 01 September 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Infection, Genetics & Evolution
#2,054
of 2,978 outputs
Outputs of similar age
#205,337
of 279,606 outputs
Outputs of similar age from Infection, Genetics & Evolution
#41
of 81 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.