Analysis of animal models of sequelae of pelvic inflammatory disease based on data mining
10.3969/j.issn.1005-4847.2024.07.010
- VernacularTitle:基于数据挖掘的盆腔炎性疾病后遗症动物模型分析
- Author:
Yuchao WANG
1
,
2
;
Bing ZHAGN
;
Jing PAN
;
Yalin LI
;
Xiao YU
;
Jinxing LIU
Author Information
1. 山东中医药大学附属医院,济南 250014
2. 山东中医药大学,济南 250014
- Keywords:
sequelae of pelvic inflammatory disease(SPID);
data mining;
animal model
- From:
Acta Laboratorium Animalis Scientia Sinica
2024;32(7):913-922
- CountryChina
- Language:Chinese
-
Abstract:
Objective To review the characteristics of animal models of sequelae of pelvic inflammatory disease(SPID)to provide a reference for standardizing the modeling process and improving the modeling rate.Methods Literature relevant to animal models of SPID from the past 40 years was searched,and animal species,modeling method,modeling cycles,modeling substances,positive control drugs,and evaluation indexes were summarized and analyzed.Results A total of 243 study manuscripts were included,most of which induced the SPID model in rats via the phenol paste or microbial infection method.The modeling cycles were typically between 14 and 16 days,and the success of the models was mostly determined by pelvic tissue morphology observation and pathological HE staining.Few research reports have focused on the traditional Chinese medicine(TCM)disease combination model.Conclusions No consistent criteria have been established for SPID animal model modeling,and thus it is recommended that researchers evaluate changes to animal behavior,pelvic histomorphology,and pathology.TCM syndrome modeling lacks effective method and evaluation standards,which need further research and development.Finally,the selection and use of positive-control drugs need to be further explored and perfected.
