Steven Hiek
Project Personnel, University of California, Irvine
6 active projects
Spectrum of tumors after breast cancer (V5)
Scientific Questions Being Studied
Interested to know what secondary or recurrent tumors developed after breast cancer and are there any demographic/behavioral/medications/medical conditions that modify/influence the risk of secondary tumors (recurrent/new tumors)
Project Purpose(s)
- Disease Focused Research (breast cancer)
- Population Health
- Other Purpose (Interested to know what secondary or recurrent tumors developed after breast cancer and are there any demographic/behavioral/medications/medical conditions that modify/influence the risk of secondary tumors (recurrent/new tumors))
Scientific Approaches
Plan to
Create a cohort of all participants diagnosed with breast cancer
This is case only study
For the above cohort collect all tumors that happened after diagnosis of breast cancer
Use cox model in order to determine the risk of subsequent tumors (outcome will be time to the second tumor)
Since the range of second/recurrent tumors is large we propose to look first at the spectrum of tumors and then do analyses for specific second tumors like a recurrence
Need to examine what are the factors associated with the second tumor
Anticipated Findings
We anticipate to determine guidelines for risk of second tumors after diagnosis of breast cancer
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
Collaborators:
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
Cancer Care and COVID-19 Dataset v5
Scientific Questions Being Studied
The goal of this study is to examine if COVID-19 changed the care of cancer patients. In particular, we are interested in examining if cancer patients during, before and after COVID-19 period have the same frequency of medical appointments.
The study will use the data to examine if medical care of cancer patients and non-cancer patients during the above period changed and if these changes are different by age, sex, race, and ethnicity.
Project Purpose(s)
- Disease Focused Research (Cancer)
- Social / Behavioral
Scientific Approaches
The datasets will come from: The Basics, Medical History, and Overall Health Surveys. Analysis will use logistic regression modeling.
Anticipated Findings
It is anticipated that there will be differences in the follow-up of medical care in cancer and non-cancer patients during the time periods that include pre-COVID-19, during COVID-19, and after COVID-19.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
Collaborators:
- Kathryn Campbell - Project Personnel, University of California, Irvine
Cancer Care and COVID-19
Scientific Questions Being Studied
The goal of this study is to examine if COVID-19 changed the care of cancer patients. In particular, we are interested in examining if cancer patients during, before and after COVID-19 period have the same frequency of medical appointments.
The study will use the data to examine if medical care of cancer patients and non-cancer patients during the above period changed and if these changes are different by age, sex, race, and ethnicity.
Project Purpose(s)
- Disease Focused Research (Cancer)
- Social / Behavioral
Scientific Approaches
The datasets will come from: The Basics, Medical History, and Overall Health Surveys. Analysis will use logistic regression modeling.
Anticipated Findings
It is anticipated that there will be differences in the follow-up of medical care in cancer and non-cancer patients during the time periods that include pre-COVID-19, during COVID-19, and after COVID-19.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
Collaborators:
- Kathryn Campbell - Project Personnel, University of California, Irvine
Cancer and Covid-19 Dataset V5
Scientific Questions Being Studied
The goal of this project is to examine if social distance measurements due to Covid_19 caused stress to cancer patients compared to non-cancer patients. In particular we will use the data to examine differences by race, ethnicity, age and sex and to answer to the following questions:
In the past month, have recommendations for socially distancing caused stress for you?
Have you EVER been near someone that you know, or suspect, had COVID-19 (such as co-workers, family members, or others)?
Do you think you have had COVID-19?
We will examine all of the questions above and determine if there are differences in patients diagnosed with cancer compared to patients never diagnosed with cancer and are the differences in those question above differ by race, ethnicity, gender and age.
Project Purpose(s)
- Disease Focused Research (cancer)
- Social / Behavioral
Scientific Approaches
We plan to use univariate and multivariate analyses in order to examine questions about perceived stress and social distancing in cancer and non-cancer patients . The multivariate analyses will include a serries of logistic regression models where the outcomes will be perceived stress due to COVID-19 recommendations or if you think you had COVID-19 and independent covariate will include age, race, ethnicity and gender.
Anticipated Findings
We anticipate that the recommendations for social distancing will caused more stress to cancer patients compared to non-cancer patients and these relationships will vary by age, race, ethnicity and gender.
Demographic Categories of Interest
- Race / Ethnicity
- Age
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
Collaborators:
- Kathryn Campbell - Project Personnel, University of California, Irvine
Spectrum of tumors after breast cancer Dataset V4
Scientific Questions Being Studied
Interested to know what secondary or recurrent tumors developed after breast cancer and are there any demographic/behavioral/medications/medical conditions that modify/influence the risk of secondary tumors (recurrent/new tumors)
Project Purpose(s)
- Disease Focused Research (breast cancer)
- Population Health
- Other Purpose (Interested to know what secondary or recurrent tumors developed after breast cancer and are there any demographic/behavioral/medications/medical conditions that modify/influence the risk of secondary tumors (recurrent/new tumors))
Scientific Approaches
Plan to
Create a cohort of all participants diagnosed with breast cancer
This is case only study
For the above cohort collect all tumors that happened after diagnosis of breast cancer
Use cox model in order to determine the risk of subsequent tumors (outcome will be time to the second tumor)
Since the range of second/recurrent tumors is large we propose to look first at the spectrum of tumors and then do analyses for specific second tumors like a recurrence
Need to examine what are the factors associated with the second tumor
Anticipated Findings
We anticipate to determine guidelines for risk of second tumors after diagnosis of breast cancer
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
Collaborators:
- Kathryn Campbell - Project Personnel, University of California, Irvine
Duplicate of Validation of Physical measurements
Scientific Questions Being Studied
Validate physical measurements (height, weight, BMI) and blood measurements between electronic health record data and physical measurements at the physical visit at the clinic. Examine those correlations by age categories, gender, race ethnicity and disease spectrum.
Project Purpose(s)
- Methods Development
Scientific Approaches
Create calendar period specific measurements of height, weight, blood pressure from the EHR and during the physical measurement visits and examine the correlation and agreement between the two. In addition, examine those correlations by race ethnicity, age, gender and disease status.
Anticipated Findings
How interchangeable are the EMR data with Physical measurement data during the PMB visit
Are the All of Us data coming from the EMR valid for analyses and if yes this will facilitate an expansion of use of the All of Us data
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Steven Hiek - Project Personnel, University of California, Irvine
Collaborators:
- Kathryn Campbell - Project Personnel, University of California, Irvine
- Argyrios Ziogas - Late Career Tenured Researcher, University of California, Irvine
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