Residential characteristics and household risk factors and respiratory diseases in Chinese women: The Seven Northeast Cities (SNEC) Study

2013 ◽  
Vol 463-464 ◽  
pp. 389-394 ◽  
Author(s):  
Guang-Hui Dong ◽  
Zhengmin (Min) Qian ◽  
Jing Wang ◽  
Edwin Trevathan ◽  
Wenjun Ma ◽  
...  
Author(s):  
R. Rakhmanov ◽  
E. Bogomolova ◽  
A. Tarasov ◽  
S. Zaytseva

Comparative analysis of the incidence was conducted for the leading classes – “Respiratory diseases” and “Diseases of the skin and subcutaneous tissue” – among cadets of two military schools studying in the same climatic region. General features in prevalence, indicators, structure, trends by years of study, and general features in the seasonality of increase in annual incidence are revealed. Role of the influence of synergistic risk factors for health is determined.


2015 ◽  
Vol 8 (4) ◽  
pp. 544-551 ◽  
Author(s):  
Fan Li ◽  
Yaqun Wang ◽  
Lingfeng Xiao ◽  
Qingqing Lou ◽  
Anne Folta Fish

2020 ◽  
Vol 16 ◽  
pp. 174550652094087
Author(s):  
Samuel Aballéa ◽  
Ekkehard Beck ◽  
Xiao Cheng ◽  
Nadia Demarteau ◽  
Xiao Li ◽  
...  

Objectives: Cervical cancer is a leading cause of cancer-related mortality in women in China. This analysis is a quantitative evidence synthesis pooling information about each cervical cancer risk factor. Methods: A meta-model was developed to estimate the risk of cervical cancer for a woman aged 18–85 years in Mainland China based on her risk profile at the time of assessment. The meta-model was built using findings of a systematic literature review that identified 21 case–control studies reporting data on 105 groups of cervical cancer risk factors in Chinese women. Extracted risk factors were ranked, and 17 were selected by Chinese clinical experts for inclusion in the meta-model. Risk equations were developed for each selected study. Predicted risks for each study were dependent on the risk profile under consideration and study-specific risks were pooled to an overall risk estimate using a random-effects meta-analysis. Sensitivity analysis was conducted using 100 artificial patient profiles (in the absence of patient data). Results: Predicted risks for the 100 profiles suggested that the model had good face validity and could differentiate between high and non-high cervical cancer risk profiles. Conclusion: This innovative meta-model approach assesses cervical cancer risk in Chinese women from a holistic perspective and could be adapted for other diseases and settings.


Author(s):  
Alexander Chuchalin ◽  
Nikolai Khaltaev ◽  
Nikolay Antonov ◽  
Dmitry Galkin ◽  
Leonid Manakov ◽  
...  

1988 ◽  
Vol 42 (4) ◽  
pp. 495-498 ◽  
Author(s):  
Su-Chang Tao ◽  
Mimi C. Yu ◽  
Ronald K. Ross ◽  
Kuang-Wei Xiu

Cancer ◽  
1997 ◽  
Vol 80 (4) ◽  
pp. 725-731 ◽  
Author(s):  
Eng-Hen Ng ◽  
Fei Gao ◽  
Chen-Yang Ji ◽  
Gay-Hui Ho ◽  
Khee-Chee Soo

2018 ◽  
Vol 46 (5) ◽  
pp. 1815-1825 ◽  
Author(s):  
Chi Yang ◽  
Shaojun Zhang ◽  
Lan Yao ◽  
Lin Fan

Objective To investigate the diagnostic efficacy of an interferon-γ release assay, T-SPOT®. TB, for diagnosing active tuberculosis (TB) and to identify risk factors for false-negative results. Methods This retrospective study enrolled consecutive patients with active TB and with non-TB respiratory diseases to evaluate the risk factors for false-negative results when using the T-SPOT®. TB assay for the diagnosis of active TB. Patients with active TB were categorized as having confirmed pulmonary TB, clinically diagnosed pulmonary TB or extrapulmonary TB (EPTB). Results This study analysed 4964 consecutive patients; 2425 with active TB and 2539 with non-TB respiratory diseases. Multivariate logistic regression analyses identified the following five factors that were all associated with an increased false-negative rate with the T-SPOT®. TB assay: increased age (odds ratio [OR] 1.018; 95% confidence interval [CI] 1.013, 1.024); decreased CD8+ count (OR 0.307; 95% CI 0.117, 0.803); negative sputum acid-fast bacilli (AFB) smear staining (OR 1.821; 95% CI 1.338, 2.477); negative mycobacterial cultures (OR 1.379; 95% CI 1.043, 1.824); and absence of EPTB (OR 1.291; 95% CI 1.026, 1.623). Conclusions Increased age, decreased CD8+ count, negative sputum AFB smear results, negative sputum mycobacterial cultures and absence of EPTB might lead to an increased false-negative rate when using the T-SPOT®. TB assay.


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