Hector Ortiz
Graduate Trainee, University of Chicago
3 active projects
Postoperative Complication Analysis
Scientific Questions Being Studied
This project will be an exploration of the relationship between surgical interventions, post surgical complications, and disparities
Project Purpose(s)
- Educational
Scientific Approaches
This project will be an exploration of the relationship between surgical interventions, post surgical complications, and disparities
Anticipated Findings
We anticipate that we might find a relationship between surgical interventions, post surgical complications, and disparities
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Sabrina Foster - Graduate Trainee, University of Chicago
- Hector Ortiz - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
Duplicate of Preeclampsia Associations AllofUs v7
Scientific Questions Being Studied
The specific scientific questions this study aims to investigate are the associations between PAPP-A levels and various demographic factors including socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births, using data from the All of Us data set. This research is important because it could provide insights into the potential role of PAPP-A as a biomarker in reproductive health and pregnancy outcomes. Understanding how PAPP-A levels may be influenced by demographic variables could help identify populations at risk for adverse reproductive health outcomes, and inform strategies for early detection and intervention. Furthermore, elucidating the relationship between PAPP-A and demographic factors could contribute to our understanding of the underlying mechanisms of PAPP-A in reproductive health, and potentially guide the development of targeted interventions to improve pregnancy outcomes in vulnerable populations in future studies.
Project Purpose(s)
- Population Health
- Educational
Scientific Approaches
The scientific approaches used in this study will involve a retrospective analysis of data from the All of Us data set, a large and diverse dataset that includes information on various demographic factors and health outcomes. The study will utilize statistical methods to analyze the data and determine potential associations between PAPP-A levels and demographic variables, such as socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births. Other biomarkers may be added as we see fit.
The methods in this study will involve statistical analyses, such as regression analyses in R (python to clean data), to examine the relationships between PAPP-A levels and demographic variables. Descriptive statistics will be used to summarize the characteristics of the study population, and inferential statistics will be used to determine the significance and strength of associations between PAPP-A levels and demographic variables.
Anticipated Findings
The findings from this study are anticipated to provide valuable insights into the clinical significance of PAPP-A in reproductive health and pregnancy outcomes. It may uncover potential associations between PAPP-A levels and demographic factors, shedding light on the role of socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births in relation to PAPP-A levels. These findings could contribute to the body of scientific knowledge by providing evidence for the use of PAPP-A as a biomarker for reproductive health and pregnancy outcomes, and may inform clinical decision-making, risk assessment, and management strategies for pregnant individuals. Additionally, the study may identify vulnerable populations that may be at higher risk based on demographic factors, highlighting the importance of considering social determinants of health in reproductive health research and practice.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierPreeclampsia Associations AllofUs v7
Scientific Questions Being Studied
The specific scientific questions this study aims to investigate are the associations between PAPP-A levels and various demographic factors including socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births, using data from the All of Us data set. This research is important because it could provide insights into the potential role of PAPP-A as a biomarker in reproductive health and pregnancy outcomes. Understanding how PAPP-A levels may be influenced by demographic variables could help identify populations at risk for adverse reproductive health outcomes, and inform strategies for early detection and intervention. Furthermore, elucidating the relationship between PAPP-A and demographic factors could contribute to our understanding of the underlying mechanisms of PAPP-A in reproductive health, and potentially guide the development of targeted interventions to improve pregnancy outcomes in vulnerable populations in future studies.
Project Purpose(s)
- Population Health
- Educational
Scientific Approaches
The scientific approaches used in this study will involve a retrospective analysis of data from the All of Us data set, a large and diverse dataset that includes information on various demographic factors and health outcomes. The study will utilize statistical methods to analyze the data and determine potential associations between PAPP-A levels and demographic variables, such as socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births. Other biomarkers may be added as we see fit.
The methods in this study will involve statistical analyses, such as regression analyses in R (python to clean data), to examine the relationships between PAPP-A levels and demographic variables. Descriptive statistics will be used to summarize the characteristics of the study population, and inferential statistics will be used to determine the significance and strength of associations between PAPP-A levels and demographic variables.
Anticipated Findings
The findings from this study are anticipated to provide valuable insights into the clinical significance of PAPP-A in reproductive health and pregnancy outcomes. It may uncover potential associations between PAPP-A levels and demographic factors, shedding light on the role of socioeconomic status, age, BMI, education level, race, ethnicity, zip code, and number of previous births in relation to PAPP-A levels. These findings could contribute to the body of scientific knowledge by providing evidence for the use of PAPP-A as a biomarker for reproductive health and pregnancy outcomes, and may inform clinical decision-making, risk assessment, and management strategies for pregnant individuals. Additionally, the study may identify vulnerable populations that may be at higher risk based on demographic factors, highlighting the importance of considering social determinants of health in reproductive health research and practice.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Sabrina Foster - Graduate Trainee, University of Chicago
- Hector Ortiz - Graduate Trainee, University of Chicago
- Maia Griffith - Project Personnel, University of Chicago
Request a Review of this Research Project
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.
