Publications by authors named "Michael Gurley"

Background: Women with recent parity are at increased short-term breast cancer (BC) risk and face a worse prognosis. The effect of parity on response to neoadjuvant chemotherapy (NAC) is unstudied, and the influence of inherited susceptibility on parity-related short-term risk remains unclear.

Methods: A retrospective case-cohort study analyzed women age 50 years or younger with non-metastatic BC diagnosed between 2010 and 2020 who underwent genetic testing and were treated at Northwestern Medicine.

View Article and Find Full Text PDF

Introduction: Women with recent parity are at increased short-term breast cancer (BC) risk and face a worse prognosis. The effect of parity on response to neoadjuvant chemotherapy (NAC) is unstudied, and the influence of inherited susceptibility on parity-related short-term risk remains unclear.

Methods: We conducted a retrospective case-cohort study among women aged ≤50 with non-metastatic BC diagnosed between 2010 and 2020 who underwent genetic testing and were treated at Northwestern Medicine.

View Article and Find Full Text PDF

Background: National Cancer Institute (NCI) designated cancer centers are entrusted with assessing the cancer burden within their catchment areas and using this information to guide research and outreach efforts. Data visualizations, like Cancer InFocus, have emerged as essential tools for facilitating this effort. Integrating clinical trial accrual data can further enhance our understanding of the catchment area.

View Article and Find Full Text PDF
Article Synopsis
  • * The OHDSI consortium's NLP Working Group created methods and tools to improve the use of textual data in observational studies, detailing a framework for integrating this information into the OMOP Common Data Model (CDM).
  • * The authors also highlight the workflow for extracting and transforming data from clinical notes, share current applications of the NLP solution, and discuss challenges and lessons learned to aid other researchers in implementing NLP in their studies.
View Article and Find Full Text PDF

Patients with a history of malignancy have been shown to be at an increased risk of COVID-19-related morbidity and mortality. Poorer clinical outcomes in that patient population are likely due to the underlying systemic illness, comorbidities, and the cytotoxic and immunosuppressive anti-tumor treatments they are subjected to. We identified 416 cancer patients with SARS-CoV-2 infection being managed for their malignancy at Northwestern Medicine in Chicago, Illinois, between March and July of 2020.

View Article and Find Full Text PDF

Purpose: To determine whether phosphodiesterase-5 inhibitor documentation is associated with biochemical relapse-free and overall survival of patients with prostate cancer treated with radical prostatectomy.

Materials And Methods: We undertook a retrospective cohort analysis of 3,100 patients with prostate cancer treated with radical prostatectomy between 2003 and 2015. The patients were categorized as a phosphodiesterase- 5- inhibitor user or non-user.

View Article and Find Full Text PDF

Background: Multiple studies have investigated the role of statins in prostate cancer (CaP), the leading cause of cancer related death in men. Retrospective cohort studies investigating the correlation between statin use and biochemical recurrence free (BCRF) survival in men with CaP have been inconclusive.

Objectives: In the largest reported surgical cohort to date, we investigated the effect of statin therapy on BCRF and overall survival in patients with CaP who have undergone radical prostatectomy (RP).

View Article and Find Full Text PDF

Observational research in cancer requires substantially more detail than most other therapeutic areas. Cancer conditions are defined through histology, affected anatomical structures, staging and grading, and biomarkers, and are treated with complex therapies. Here, we show a new cancer module as part of the OMOP CDM, allowing manual and automated abstraction and standardized analytics.

View Article and Find Full Text PDF

Systematic application of observational data to the understanding of impacts of cancer treatments requires detailed information models allowing meaningful comparisons between treatment regimens. Unfortunately, details of systemic therapies are scarce in registries and data warehouses, primarily due to the complex nature of the protocols and a lack of standardization. Since 2011, we have been creating a curated and semi-structured website of chemotherapy regimens, HemOnc.

View Article and Find Full Text PDF

It is difficult to construct a control group for trials of adjuvant therapy (Rx) of prostate cancer after radical prostatectomy (RP) due to ethical issues and patient acceptance. We utilized 8 curve-fitting models to estimate the time to 60%, 65%, … 95% chance of progression free survival (PFS) based on the data derived from Kattan post-RP nomogram. The 8 models were systematically applied to a training set of 153 post-RP cases without adjuvant Rx to develop 8 subsets of cases (reference case sets) whose observed PFS times were most accurately predicted by each model.

View Article and Find Full Text PDF

Background: In cardiac SPECT perfusion imaging, motion correction of the data is critical to the minimization of motion introduced artifacts in the reconstructed images. Software-based (data-driven) motion correction techniques are the most convenient and economical approaches to fulfill this purpose. However, the accuracy is significantly affected by how the data complexities, such as activity overlap, non-uniform tissue attenuation, and noise are handled.

View Article and Find Full Text PDF