Emergency department diagnosis and guideline concordant care in gastric cancer.
Abstract
300 Background: Roughly half of new cases of gastric cancer are diagnosed in the Emergency Department (ED-dx). Patients with ED-dx have poorer clinical outcomes than those who are not ED-dx. However, the reasons for this difference are unclear. We aim to explore whether ED-dx is associated with receipt of Guideline-Concordant Therapy (GCT) for patients with gastric cancer in a large New Jersey-based health system. Methods: Gastric cancer patients, identified via single institution cancer registry, were included in a retrospective chart review from 2016-2022. Univariable and multivariable analyses were performed to evaluate the association between sociodemographic factors and utilization of GCT as defined by the NCCN by cancer stage. Logistic regression was used to estimate covariate adjusted odds ratios for the association of ED-dx with GCT. Results: A total of 331 patients were included, of which 154 (46.5%) were ED-dx and 69 (20.8%) did not receive GCT. Among patients who did not receive GCT, 60.9% were ED-dx, compared to 42.8% of those who got GCT (p=0.007). Despite adjusting for demographic factors and comorbidities, ED-dx patients had a higher probability of not receiving treatment (OR 2.13 [1.19-3.83]). However, this association was no longer significant when socioeconomic conditions (OR 1.69, [0.91-3.15]) and clinicopathologic variables (OR 1.27, [0.65-2.50]) were also accounted for. Factors most strongly associated with not receiving GCT were age >75 years (OR 7.40 [2.46-22.26]), Charlson comorbidity index > 3 (4.22 [1.61-11.04]), having Medicaid or no health insurance (3.49 [1.36-8.98]), living in areas with moderate compared to low area deprivation index (3.32 [1.37-8.04]), having stage IV disease (2.33 [1.06-5.15]) and having gastric cancer histology other than adenocarcinoma (OR 2.63 [1.11-6.23]). Conclusions: Lower rates of oncologic treatment compared to those diagnosed in other settings are largely attributable to differences in socioeconomic and clinicopathologic variables, not whether patients were ED-dx. Further investigation is warranted to understand the poor outcomes observed among ED-dx gastric cancer patients with a particular focus on modifiable or early identifiable factors to improve outcomes. Multivariable logistic regression for the association of being diagnosed in the emergency department and receiving GCT. Model 1 Model 2 Model 3 OR (95%CI) OR (95%CI) OR (95%CI) Diagnosis at Emergency Department 2.13 (1.19-3.83) 1.69 (0.91-3.15) 1.27 (0.65-2.50) Model 1: Adjusted for age, sex, and ethnicity, Charlson comorbidity index. Model 2: Adjusted for age, sex, ethnicity, Charlson comorbidity index, area deprivation index, and insurance. Model 3: Adjusted for age, sex, ethnicity, Charlson comorbidity index, area deprivation index, insurance, symptoms, stage, and gastric cancer histology type.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Rebecca Platoff
Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
Kelly McGovern
Harvard Univ
Brijesh Rana
Rutgers Cancer Institute, New Brunswick, NJ
Katherine De La Torre-Cisneros
Rutgers Cancer Institute, New Brunswick, NJ
Aidan Aicher
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Alexandra Adams
Rutgers Cancer Institute, New Brunswick, NJ
Ray Ramirez
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Theodore Wang
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Jacinto Saenz
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Sorasicha Nithikasem
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Sruti Cheruvu
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Lia Yena Kwak
Department of Surgery, Rutgers Robert Wood Johnson University Medical School, New Brunswick, NJ
Sara Bueno Motter
Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
Mariam F. Eskander
Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
Miral Grandhi
Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
Brett Logan Ecker
Rutgers Cancer Institute, New Brunswick, NJ
Elizabeth A. Handorf
Department of Biostatistics and Epidemiology, Rutgers School of Public Health, New Brunswick, NJ
Hari Iyer
Rutgers Cancer Institute, New Brunswick, NJ
Stroup Antoinette
Rutgers University School of Public Health, Piscataway, NJ
Haejin In
Rutgers Cancer Institute, New Brunswick, NJ