Ignite Creation Date:
2025-12-24 @ 7:00 PM
Ignite Modification Date:
2025-12-31 @ 5:21 AM
Study NCT ID:
NCT01826357
Status:
UNKNOWN
Last Update Posted:
2013-11-06
First Post:
2013-04-03
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Cluster Analysis of the Risk of Metabolic Syndrome in Women for Reproductive Age
Sponsor:
Taipei Medical University WanFang Hospital
Organization:
Study Overview
Official Title:
Cluster Analysis of the Risk of Metabolic Syndrome in Women for Reproductive Age.
Status:
UNKNOWN
Status Verified Date:
2013-11
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The metabolic syndrome (MetS) is a cluster of clinical indices that signals increased risk for cardiovascular disease and Type 2 diabetes. Women with polycystic ovary syndrome (PCOS) were associated with MetS and insulin resistance. Cluster analysis was a useful tool for identifying groups of women sharing similar metabolic risk factor patterns. Oligomenorrhea, hyperandrogenism and polycystic ovary morphology were the three major components of PCOS. Obesity is a main risk factor in metabolic syndrome. the investigators are interesting to evaluate the relationship between risk of metabolic syndrome and their clinical and/or biochemical characteristics in women with reproductive age.
Design: Retrospective study; medical records reviewed. Participants and setting: The investigators retrospectively reviewed the medical records of female patients who visited our Reproductive Endocrinology Clinic from Jan. 1, 2009 to Jun. 31, 2012.
Design: Retrospective study; medical records reviewed. Participants and setting: The investigators retrospectively reviewed the medical records of female patients who visited our Reproductive Endocrinology Clinic from Jan. 1, 2009 to Jun. 31, 2012.
Detailed Description:
Definitions of the metabolic syndrome based on arbitrary cutoff points for several quantitative variables, where each variable is related linearly to cardiovascular risk. Even consensual definitions differ between international authorities and continue to change. Moreover, such cutoff s should be gender and ethic difference. Cluster analysis is a statistical method base on algorithms, which seek to minimize within-group variation and maximize between-group variation for the clustering variables. This technique is suitable for defining groups, reflecting the natural structure of data without relying on inappropriate arbitrary cutoffs. We conduct this retrospective study to review the medical records of female patients who visited our Reproductive Endocrinology Clinic from Jan. 1, 2009 to Dec. 31, 2012. Cluster analysis was performed in our studied cases to evaluate the correlation between clinical/biochemical characteristic and risk of metabolic risk in women with reproductive age.
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: