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UnknownNCT02547545

Breast Cancer Chemotherapy Risk Prediction Mathematical Model

Macro-microscopic Syndrome Differentiation and Combination,Based on the "Chinese Medicine Clinical Phenotype" to Construct Breast Cancer Chemotherapy Risk Prediction Mathematical Model

Status
Unknown
Phase
Study type
Observational
Enrollment
795 (estimated)
Sponsor
First Affiliated Hospital Xi'an Jiaotong University · Academic / Other
Sex
Female
Age
18 Years – 80 Years
Healthy volunteers
Not accepted

Summary

This is a cohort study. This study is to develop a predictive model of the side effects after chemotherapy, exploreing the potential risk factors of the side effects such as myelosuppression and chemotherapy realted vomit after the chemotherapy, so that it could help to alleviate patients' fear and anxiety about the side effects and the toxicity of chemotherapy. The potential risk factors were measured at baseline.

Detailed description

Firstly, the investigator will extact the "macro" information about physical conditon, which comes from syndrome-constitutional differentiation in the light of Traditonal Chinease Medicine (TCM) theory. Then combined with the "micro" information about pathological and biological markers, "TCM clinical phenotype" is extracted by Text Mining, and shows the full picture of the clinical features of breast cancer, which will include most of risk factors related to occurrence of adverse of chemotherapy fo breast cancer patients to establish two corresponding quatitative databases. Furthermore, predictive models will be built according to the predictors selected from an analysis on new methods of econometrics-Granger causality and cointegration analysis between "TCM clinical phenotype" and adverse effects of chemotherapy. The research results will be used to establish effective predictive models to lay the foundation for optimizing individualized treatment program of breast cancer by TCM and Western medicine.

Conditions

Timeline

Start date
2015-09-01
Primary completion
2017-03-01
Completion
2017-05-01
First posted
2015-09-11
Last updated
2016-08-10

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT02547545. Inclusion in this directory is not an endorsement.