CTRI/2020/06/026106尚未招募未知
Estimation of salivary creatinine and urea levels in type 2 diabetes mellitus patients and prediction of diabetic nephropathy using artificial neural network - a cross - sectional study
Priyadharshini0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •Patients visiting the dental OPD of Indira Gandhi Institute of Dental Sciences who
- •are already diagnosed of Type 2 Diabetes Mellitus in the age group of 30 â?? 75 years
- •Patients who are willing to take part in this study.
排除标准
- •1. Patients with acute kidney disease.
- •2. Patients under antisialologues. 14
- •3. Patients who are chronic smoker 10-15 cigarettes per day for more than a year. 14
- •4. Patients under corticosteroids that increases the serum urea. 15
- •5. Patients who are under Cimetidine, Trimethoprim, Vitamin D metabolites that increases
- •the serum creatinine level. 16
- •6. Patients who are under Cefoxitin antibiotics that increases serum creatinine levels. 16
- •7. Patients with acute illness, critically ill, pregnant womenâ??s and children.
- •8. Patients with salivary gland disorders. 14
- •9. Patients who have Type 1 and other types of Diabetes.
- •10. Patients who are not willing to take part in the study.
研究者
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