scholarly journals Diabetes mellitus and latent tuberculosis infection: a systemic review and meta-analysis

2016 ◽  
pp. ciw836 ◽  
Author(s):  
Meng-Rui Lee ◽  
Ya-Ping Huang ◽  
Yu-Ting Kuo ◽  
Chen-Hao Luo ◽  
Yun-Ju Shih ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Latent Tuberculosis Infection ◽  
Meta Analysis ◽  
Latent Tuberculosis ◽  
Tuberculosis Infection ◽  
Systemic Review

scholarly journals Systematic review of latent tuberculosis infection research to inform programmatic management in Ireland

2021 ◽  
Author(s):  
James O’Connell ◽  
Eoghan de Barra ◽  
Samuel McConkey
Keyword(s):  
Systematic Review ◽  
Latent Tuberculosis Infection ◽  
Meta Analysis ◽  
Latent Tuberculosis ◽  
Risk Groups ◽  
Tuberculosis Infection ◽  
World Health ◽  
People Living With Hiv ◽  
Knowledge Gaps ◽  
Ltbi Screening

AbstractThe World Health Organisation (WHO) End Tuberculosis (TB) Strategy and the WHO Framework Towards Tuberculosis Elimination in Low Incidence Countries state that latent tuberculosis infection (LTBI) screening and treatment in selected high-risk groups is a priority action to eliminate TB. The European Centre for Disease Prevention and Control (ECDC) advises that this should be done through high-quality programmatic management, which they describe as having six key components. The research aim was to systematically review the literature to identify what is known about the epidemiology of LTBI and the uptake and completion of LTBI screening and treatment in Ireland to inform the programmatic management of LTBI nationally. A systematic literature review was performed according to a review protocol and reported in adherence with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Twenty-eight studies were eligible for inclusion and described LTBI screening or treatment performed in one of five contexts, pre-biologic or other immunosuppression screening, people living with HIV, TB case contacts, other vulnerable populations, or healthcare workers. The risk of bias across studies with regard to prevalence of LTBI was generally high. One study reported a complete cascade of LTBI care from screening initiation to treatment completion. This systematic review has described what published research there is on the epidemiology and cascade of LTBI care in Ireland and identified knowledge gaps. A strategy for addressing these knowledge gaps has been proposed.

scholarly journals Evaluation of cytokines as a biomarker to distinguish active tuberculosis from latent tuberculosis infection: a diagnostic meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039501
Author(s):  
Beibei Qiu ◽  
Qiao Liu ◽  
Zhongqi Li ◽  
Huan Song ◽  
Dian Xu ◽  
...  
Keyword(s):  
Latent Tuberculosis Infection ◽  
Meta Analysis ◽  
Latent Tuberculosis ◽  
Active Tuberculosis ◽  
Tuberculosis Infection ◽  
Cochrane Library ◽  
Effective Vaccine ◽  
Specific Method ◽  
Case Control Studies ◽  
Ifn Γ

ObjectivesWith a marginally effective vaccine and no significant breakthroughs in new treatments, a sensitive and specific method to distinguish active tuberculosis from latent tuberculosis infection (LTBI) would allow for early diagnosis and limit the spread of the pathogen. The analysis of multiple cytokine profiles provides the possibility to differentiate the two diseases.DesignSystematic review and meta-analysis.Data sourcesPubMed, Cochrane Library, Clinical Key and EMBASE databases were searched on 31 December 2019.Eligibility criteriaWe included case–control studies, cohort studies and randomised controlled trials considering IFN-γ, TNF-α, IP-10, IL-2, IL-10, IL-12 and VEGF as biomarkers to distinguish active tuberculosis and LTBI.Data extraction and synthesisTwo students independently extracted data and assessed the risk of bias. Diagnostic OR, sensitivity, specificity, positive and negative likelihood ratios and area under the curve (AUC) together with 95% CI were used to estimate the diagnostic value.ResultsOf 1315 records identified, 14 studies were considered eligible. IL-2 had the highest sensitivity (0.84, 95% CI: 0.72 to 0.92), while VEGF had the highest specificity (0.87, 95% CI: 0.73 to 0.94). The highest AUC was observed for VEGF (0.85, 95% CI: 0.81 to 0.88), followed by IFN-γ (0.84, 95% CI: 0.80 to 0.87) and IL-2 (0.84, 95% CI: 0.81 to 0.87).ConclusionCytokines, such as IL-2, IFN-γ and VEGF, can be utilised as promising biomarkers to distinguish active tuberculosis from LTBI.PROSPERO registration numberCRD42020170725.

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