title: [The multi-level Meta analysis model combining individual level data with aggregative level data].
abstract: OBJECTIVE
  To explore the multi-level Meta analysis model combining individual level data with aggregative level data and its application in medicine.
  
  
  METHODS
  The difference in respect to "decreased hemoglobin A(1c)" between treatment with roglizatone and treatment without roglizatone was obtained by combining individual level data from clinical trial of roglizatone natrium with aggregative level data from literatures. This endeavor was regarded as an example to construct the multi-level Meta analysis model combining individual level data with aggregative level data.
  
  
  RESULTS
  The baseline hemoglobin A(1c) was 9% and the dose of drug was 4 mg per day. The average difference in "decreased hemoglobin A(1c)" between treatment with and without roglizatone was 0. 464%, with a 95% CI from 0.168% to 0.760%.
  
  
  CONCLUSIONS
  In case that individual data are available, the multi-level Meta analysis model combining individual level data with aggregative level data can utilize the data resources adequately and the results obtained should be more accurate.
authors.affiliation: Department of Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.
authors.forename: Cai-Rong
authors.initials: CR
authors.lastname: Zhu
authors.forename: Zhong-Hua
authors.initials: ZH
authors.lastname: Liu
authors.forename: Ke-Hong
authors.initials: KH
authors.lastname: Sun
authors.forename: Zong-Zan
authors.initials: ZZ
authors.lastname: Ni
mesh_terms: D003627:Data Interpretation, Statistical; D003920:Diabetes Mellitus / Q000097:blood / Q000188:drug therapy*; D005907:Gliclazide / Q000627:therapeutic use; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D007004:Hypoglycemic Agents / Q000627:therapeutic use*; D015201:Meta-Analysis as Topic; D015233:Models, Statistical
chemical_list: D005907:Gliclazide; D006442:Glycated Hemoglobin; D007004:Hypoglycemic Agents