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

INTRODUCTION: 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. METHODS: 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. DISCUSSION: 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. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016045692

Tuberculosis disease diagnosis using artificial neural networks

PMID = 2050361

A comparative study on chronic obstructive pulmonary and pneumonia diseases diagnosis using neural networks and artificial immune system

PMID = 2005290

[The opinions of Turkish physicians about the tasks of tuberculosis central dispensary].

Department of tuberculosis control is the main tuberculosis branch of Minister of Health, with coordinators in cities as intermediate departments and Tuberculosis Central Dispensaries (TCD) as peripheral branches. This study was performed through January-May 2007 in seven different geographical regions to figure out opinions of physicians on tuberculosis dispensaries. A specific questionnaire was distributed to doctors in two cities in each geographical region. A number of 1250 doctor participated in the study as at least fifty doctors in each city. Mean age of the subjects was 32.58 +/- 6.63 (22-65), 52.1% (651) of whom had diagnosed tuberculosis before. It was found in the study that two important functions of tuberculosis central dispensaries for the doctors were the treatment of patients regularly and freely, and scanning the persons who have very close contact with active tuberculosis patient. A number of 157 doctors accepted all seven functions of dispensary as important. Female doctors, pediatricians and chest physicians had better knowledge on the tasks of tuberculosis central dispensaries (p< 0.005). This study showed that Turkish physicians did not have enough knowledge about tuberculosis and its tasks. We believe that practical training procedures for the physicians on the goals and functions of TCD will help to treat tuberculosis