Jill Shah

Graduate Trainee, New York University, Grossman School of Medicine

8 active projects

Duplicate of How to Get Started with Controlled Tier Data (v6)

1. Socio-Economic Metrics: How to retrieve participants' socio-economic data from the CDR. 2. Observation Date: How to query and plot an observation date using survey completion date as example. 3. Demographics: Examples of how to query and plot participant demographic…

Scientific Questions Being Studied

1. Socio-Economic Metrics: How to retrieve participants' socio-economic data from the CDR.
2. Observation Date: How to query and plot an observation date using survey completion date as example.
3. Demographics: Examples of how to query and plot participant demographic data.
4. Death Cause: How to retrieve and plot deceased participants' death causes.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Featured Workspace: - teaches the users how to set up this notebook, install and import software packages, and select the correct version of the CDR. - gives an overview of the data types available in the current Controlled Tier Curated Data Repository (CDR) that are not available in the Registered Tier - shows how to retrieve and summarize this data.)

Scientific Approaches

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. The tutorial Workspace contains two Jupyter Notebooks (one written in Python, the other in R). It contains helper functions for repeatedly, code readability and efficiency and repeatedly.

Anticipated Findings

By reading and running the notebooks in this Tutorial Workspace, you will understand the following: All of Us data are made available in two Curated Data Repository: the Registered Tier and Controlled Tier. The latter was subject to more relaxed privacy rules relative to the Registered Tier. As a result, you can expect to find more concept ids in certain data types such as EHR and Survey.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Dermatomyositis Analysis on Treatments and Comorbidities

Dermatomyositis is a rare immune-mediated disease that presents with characteristic skin findings and multi-systemic involvement. Patients can have diverse presentations, which makes this disease both a diagnostic and therapeutic challenge. Treatment must be individualized with the majority of current management…

Scientific Questions Being Studied

Dermatomyositis is a rare immune-mediated disease that presents with characteristic skin findings and multi-systemic involvement. Patients can have diverse presentations, which makes this disease both a diagnostic and therapeutic challenge. Treatment must be individualized with the majority of current management principles arising from expert opinion, case series, retrospective reviews, and open-label studies. In this workbench, we will explore data related to dermatomyositis to improve our understanding of the current epidemiology, associated comorbidities, and associated treatments.

Project Purpose(s)

  • Disease Focused Research (dermatomyositis)

Scientific Approaches

The All of Us dataset will be used to describe the epidemiology of dermatomyositis. Association testing will be used to determine what comorbidities are associated with dermatomyositis. Treatments (ex. methotrexate) employed will be analyzed in relation to these diseases and associated comorbidities (ex. interstitial lung disease).

Anticipated Findings

With this study, we aim to explore the burden of dermatomyositis among different age, racial, and ethnic groups. We aim to show associations between dermatomyositis and other diseases, including cardiovascular and pulmonary disease. We also hope to understand which and how therapeutics are currently employed and how they modulate risk of associated diseases. We hope this study will help improve treatment of dermatomyositis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Rheumatologic-Dermatologic Diseases Comorbidity Analysis

There are several rheumatologic-dermatologic diseases, such as morphea, dermatomyositis, sarcoidosis, and panniculitis, that are understudied because they are uncommon. However, these diseases carry significantly increased risk of morbidity and, sometimes, mortality. We hope to describe the epidemiology of these conditions,…

Scientific Questions Being Studied

There are several rheumatologic-dermatologic diseases, such as morphea, dermatomyositis, sarcoidosis, and panniculitis, that are understudied because they are uncommon. However, these diseases carry significantly increased risk of morbidity and, sometimes, mortality. We hope to describe the epidemiology of these conditions, especially with regards to comorbidity rates. This data will help us understand the pathogenesis of these conditions, bring awareness to clinicians in terms of diagnosing comorbid conditions, and ultimately provide better evidence-based care to these patients.

Project Purpose(s)

  • Disease Focused Research (panniculitis, morphea, dermatomyositis, sarcoidosis, comorbidities)

Scientific Approaches

The All of Us dataset will be used to describe the epidemiology of rheumatologic-dermatologic skin diseases. We will examine demographics to understand the epidemiology of these conditions. We will be performing nested case-control analysis within the All of Us dataset to perform univariable and multivariable association testing on comorbidities.

Anticipated Findings

With this study, we aim to explore the burden of rheumatologic-dermatologic diseases among different demographic groups. We aim to show associations between rheumatologic-dermatologic diseases and other diseases. We hope this study will help us understand the pathogenesis of these conditions and aid clinicians in the management and workup of these conditions.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Biologic Use and Tuberculosis

Treatment with biologic agents, including TNF-alpha inhibitors, has been associated with increased risk of tuberculosis. As such, patients on biologics require tuberculosis testing before initiation and annually thereafter. It has also been suggested that different TNF-alpha inhibitors may be associated…

Scientific Questions Being Studied

Treatment with biologic agents, including TNF-alpha inhibitors, has been associated with increased risk of tuberculosis. As such, patients on biologics require tuberculosis testing before initiation and annually thereafter. It has also been suggested that different TNF-alpha inhibitors may be associated with different TB risks. In this workbench, we aim to explore the data related to biologic use and tuberculosis testing.

Project Purpose(s)

  • Disease Focused Research (tuberculosis)

Scientific Approaches

The All of Us dataset will be used to describe individuals on biologics and to describe how TB testing is performed in these individuals. Comparisons will be made to individuals who are not on biologics.

Anticipated Findings

With this study, we aim to explore the burden of tuberculosis, latent or active, among patients on biologics. We also hope to understand how testing is implemented, in practice, on patients on biologic therapies.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Systemic Sclerosis Exploratory Analysis

Systemic sclerosis is a rare connective tissue disease that has an unknown, complex pathogenesis. Patients can have diverse presentations, with possible multi-system involvement, which makes this disease both a diagnostic and therapeutic challenge. In this workbench, we will explore data…

Scientific Questions Being Studied

Systemic sclerosis is a rare connective tissue disease that has an unknown, complex pathogenesis. Patients can have diverse presentations, with possible multi-system involvement, which makes this disease both a diagnostic and therapeutic challenge. In this workbench, we will explore data related to systemic sclerosis to improve our understanding of the current epidemiology, associated comorbidities, and associated treatments.

Project Purpose(s)

  • Disease Focused Research (systemic scleroderma)

Scientific Approaches

The All of Us dataset will be used to describe the epidemiology of systemic sclerosis. Association testing will be used to determine what comorbidities are associated with systemic sclerosis. Treatments (ex. methotrexate) employed will be analyzed in relation to these diseases and associated comorbidities.

Anticipated Findings

With this study, we aim to explore the burden of systemic sclerosis among different age, racial, and ethnic groups. We aim to show associations between systemic sclerosis and other diseases. We also hope to understand which and how therapeutics are currently employed. We hope this study will help improve treatment of systemic sclerosis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Sarcoidosis Exploratory Analysis

Sarcoidosis is a rare condition that can present with multi-systemic involvement. Patients can have diverse presentations, which makes this disease both a diagnostic and therapeutic challenge. In this workbench, we will explore data related to sarcoidosis to improve our understanding…

Scientific Questions Being Studied

Sarcoidosis is a rare condition that can present with multi-systemic involvement. Patients can have diverse presentations, which makes this disease both a diagnostic and therapeutic challenge. In this workbench, we will explore data related to sarcoidosis to improve our understanding of the current epidemiology, associated comorbidities, and associated treatments.

Project Purpose(s)

  • Disease Focused Research (sarcoidosis)

Scientific Approaches

The All of Us dataset will be used to describe the epidemiology of sarcoidosis. Association testing will be used to determine what comorbidities are associated with sarcoidosis. Treatments employed will be analyzed in relation to these diseases and associated comorbidities.

Anticipated Findings

With this study, we aim to explore the burden of sarcoidosis among different age, racial, and ethnic groups. We aim to show associations between sarcoidosis and other diseases, including cardiovascular disease. We also hope to understand which and how therapeutics are currently employed. We hope this study will help improve treatment of sarcoidosis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Morphea Exploratory Analysis

Morphea / Linear scleroderma is a rare inflammatory disease that affects the skin and subcutaneous tissue in both children and adults. There is a spectrum of presentations, with a variety of clinical phenotypes. Here, we seek to investigate whether All…

Scientific Questions Being Studied

Morphea / Linear scleroderma is a rare inflammatory disease that affects the skin and subcutaneous tissue in both children and adults. There is a spectrum of presentations, with a variety of clinical phenotypes. Here, we seek to investigate whether All of Us can provide additional data on morphea, especially with regards to epidemiology and associated diseases where data is currently limited.

Project Purpose(s)

  • Disease Focused Research (localized scleroderma)

Scientific Approaches

We will use descriptive statistics and association testing in the All of Us dataset to describe the epidemiology of morphea and to determine which diseases and conditions are associated with morphea.

Anticipated Findings

We hope to better describe the burden of morphea and show novel associations between morphea and other diseases/condition. These data will help improve identification and treatment of morphea.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Collaborators:

  • Keya Shah - Other, New York University, Grossman School of Medicine

Dermatomyositis/SS comorbidities, epidemiology, treatments

Dermatomyositis and systemic sclerosis are rare immune-mediated disease that present with characteristic skin findings and multi-systemic involvement. Patients can have diverse presentations, which makes these diseases both a diagnostic and therapeutic challenge. Treatment must be individualized with the majority of…

Scientific Questions Being Studied

Dermatomyositis and systemic sclerosis are rare immune-mediated disease that present with characteristic skin findings and multi-systemic involvement. Patients can have diverse presentations, which makes these diseases both a diagnostic and therapeutic challenge. Treatment must be individualized with the majority of current management principles arising from expert opinion, case series, retrospective reviews, and open-label studies. In this workbench, we will explore data related to dermatomyositis and systemic sclerosis to improve our understanding of the current epidemiology, associated comorbidities, and associated treatments.

Project Purpose(s)

  • Disease Focused Research (dermatomyositis, systemic sclerosis)

Scientific Approaches

The All of Us dataset will be used to describe the epidemiology of dermatomyositis and systemic sclerosis. Association testing will be used to determine what comorbidities are associated with dermatomyositis and systemic sclerosis. Treatments (ex. methotrexate) employed will be analyzed in relation to these diseases and associated comorbidities.

Anticipated Findings

With this study, we aim to explore the burden of dermatomyositis and systemic sclerosis among different age, racial, and ethnic groups. We aim to show associations between dermatomyositis/SS and other diseases, including cardiovascular disease. We also hope to understand which and how therapeutics are currently employed. We hope this study will help improve treatment of dermatomyositis/SS.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jill Shah - Graduate Trainee, New York University, Grossman School of Medicine

Collaborators:

  • Keya Shah - Other, New York University, Grossman School of Medicine
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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.