utrecht2019dataset

Electronic Health Records (EHR) of patients affected by GBM at the University Medical Centre of Utrecht (UMCU) between 2005-2013. 
This dataset contains clinical information from 647 patients collected to study prognostic factor
influencing overall survival in GBM patients, this study focuses on the involvement of the
subventricular zone (SVZ), a brain region that may play a role in tumor progression. 
The dataset found out that SVZ contact meant worse prognosis for patients,
in fact SVZ-contacting tumors had worse median OS compared to non SVZ-contacting patients. 
Some data may be missing due to the nature of clinical records.

datasets

Provides functions to load and analyze three open Electronic
Health Records (EHRs) datasets of patients diagnosed with
glioblastoma, previously released under the Creative Common
Attribution 4.0 International (CC BY 4.0) license. Users can generate
basic descriptive statistics, frequency tables and save descriptive
summary tables, as well as create and export univariate or bivariate
plots. The package is designed to work with the included datasets and
to facilitate quick exploratory data analysis and reporting. More
information about these three datasets of EHRs of patients with
glioblastoma can be found in this article: Gabriel Cerono, Ombretta
Melaiu, and Davide Chicco, 'Clinical feature ranking based on ensemble
machine learning reveals top survival factors for glioblastoma
multiforme', Journal of Healthcare Informatics Research 8, 1-18 (March
2024). <doi:10.1007/s41666-023-00138-1>.

Samuele Marelli

glioblastomaEHRsData

Descriptive Analysis on Three Glioblastoma EHRs Datasets

Davide Chicco

utrecht2019dataset function

A data frame with 647 rows and 7 variables:<dl>
 <dt>age_years</dt>
<dd>Numeric. Patient's age.</dd> <dt>KPS_less70.0_more70.1</dt>
<dd>Factor. "&lt;70" (0) or "&gt;70" (1) KPS level.</dd> <dt>OS_months</dt>
<dd>Numeric. Overall Survival expressed in months.</dd> <dt>post_surgery_therapy_none0_monotherapy1_RTandTMZ2</dt>
<dd>Factor. "None" (0), "Monotherapy" (1) or "RT+TMZ" (2) for therapy regime.</dd> <dt>surgery_biopsy0_resection1</dt>
<dd>Factor. "Biopsy" (0) or "Resection" (1) for surgery type.</dd> <dt>survived_yes1_no0</dt>
<dd>Factor. "Dead" (0) or "Alive" (1) at their most recent check-up.</dd> <dt>SVZ_status_nocontact0_contact1</dt>
<dd>Factor. "No" (0) or "Yes" (1) for SVZ contact.</dd>
</dl>

Format

Electronic Health Records (EHR) of patients affected by GBM at the University Medical Centre of Utrecht (UMCU) between 2005-2013. 
This dataset contains clinical information from 647 patients collected to study prognostic factor
influencing overall survival in GBM patients, this study focuses on the involvement of the
subventricular zone (SVZ), a brain region that may play a role in tumor progression. 
The dataset found out that SVZ contact meant worse prognosis for patients,
in fact SVZ-contacting tumors had worse median OS compared to non SVZ-contacting patients. 
Some data may be missing due to the nature of clinical records.

EHR data of patients affected by Glioblastoma (GBM) treated at the University Medical Centre of Utrecht. — utrecht2019dataset

A data frame with 647 rows and 7 variables:<dl>
 <dt>age_years</dt>
<dd>Numeric. Patient's age.</dd>

 <dt>KPS_less70.0_more70.1</dt>
<dd>Factor. "&lt;70" (0) or "&gt;70" (1) KPS level.</dd>

 <dt>OS_months</dt>
<dd>Numeric. Overall Survival expressed in months.</dd>

 <dt>post_surgery_therapy_none0_monotherapy1_RTandTMZ2</dt>
<dd>Factor. "None" (0), "Monotherapy" (1) or "RT+TMZ" (2) for therapy regime.</dd>

 <dt>surgery_biopsy0_resection1</dt>
<dd>Factor. "Biopsy" (0) or "Resection" (1) for surgery type.</dd>

 <dt>survived_yes1_no0</dt>
<dd>Factor. "Dead" (0) or "Alive" (1) at their most recent check-up.</dd>

 <dt>SVZ_status_nocontact0_contact1</dt>
<dd>Factor. "No" (0) or "Yes" (1) for SVZ contact.</dd>


</dl>

utrecht2019dataset: EHR data of patients affected by Glioblastoma (GBM) treated at the University Medical Centre of Utrecht.

Description

Usage

Arguments

Format

References

Examples