[The multi-level Meta analysis model combining individual level data with aggregative level data].
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.
Zhu
Cai-Rong
CR
Department of Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, China.
Liu
Zhong-Hua
ZH
Sun
Ke-Hong
KH
Ni
Zong-Zan
ZZ
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
D005907:Gliclazide; D006442:Glycated Hemoglobin; D007004:Hypoglycemic Agents