The Impact of Race on Pancreatic Cancer Treatment and Survival in the Nationwide Veterans Affairs Healthcare System

OBJECTIVES

Among patients with pancreatic cancer, studies show racial disparities at multiple steps of the cancer care pathway. Access to healthcare is a frequently cited cause of these disparities. It remains unclear if racial disparities exist in an integrated, equal access public system such as the Veterans Affairs healthcare system.

METHODS

We identified all patients diagnosed with pancreatic adenocarcinoma in the national Veterans Affairs Central Cancer Registry from January 2010 to December 2018. We examined the independent association between race and 3 endpoints: stage at diagnosis, receipt of treatment, and survival while adjusting for sociodemographic factors and medical comorbidities.

RESULTS

We identified 8529 patients with pancreatic adenocarcinoma, of whom 79.5% were White and 20.5% were Black. Black patients were 19% more likely to have late-stage disease and 25% less likely to undergo surgical resection. Black patients had 13% higher mortality risk compared with White patients after adjusting for sociodemographic characteristics and medical comorbidities. This difference in mortality was no longer statistically significant after additionally adjusting for cancer stage and receipt of potentially curative treatment.

CONCLUSIONS

Equal access to healthcare might have reduced but failed to eliminate disparities. Dedicated efforts are needed to understand reasons underlying these disparities in an attempt to close these persistent gaps.

Using Natural Language Processing to Automatically Identify Dysplasia in Pathology Reports for Patients With Barrett's Esophagus

BACKGROUND & AIMS

Identifying dysplasia of Barrett's esophagus (BE) in the electronic medical record (EMR) requires manual abstraction of unstructured data. Natural language processing (NLP) creates structure to unstructured free text. We aimed to develop and validate an NLP algorithm to identify dysplasia in BE patients on histopathology reports with varying report formats in a large integrated EMR system.

METHODS

We randomly selected 600 pathology reports for NLP development and 400 reports for validation from patients with suspected BE in the national Veterans Affairs databases. BE and dysplasia were verified by manual review of the pathology reports. We used NLP software (Clinical Language Annotation, Modeling, and Processing Toolkit; Melax Tech, Houston, TX) to develop an algorithm to identify dysplasia using findings. The algorithm performance characteristics were calculated as recall, precision, accuracy, and F-measure.

RESULTS

In the development set of 600 patients, 457 patients had confirmed BE (60 with dysplasia). The NLP identified dysplasia with 98.0% accuracy, 91.7% recall, and 93.2% precision, with an F-measure of 92.4%. All 7 patients with confirmed high-grade dysplasia were classified by the algorithm as having dysplasia. Among the 400 patients in the validation cohort, 230 had confirmed BE (39 with dysplasia). Compared with manual review, the NLP algorithm identified dysplasia with 98.7% accuracy, 92.3% recall, and 100.0% precision, with an F-measure of 96.0%.

CONCLUSIONS

NLP yielded a high degree of sensitivity and accuracy for identifying dysplasia from diverse types of pathology reports for patients with BE. The application of this algorithm would facilitate research and clinical care in an EMR system with text reports in large data repositories.

Global burden of gastric cancer: epidemiological trends, risk factors, screening and prevention

Gastric cancer remains a major cause of cancer-related mortality worldwide. The temporal trends for this malignancy, however, are dynamic, and reports from the past decade indicate important declines in some regions and demographic groups, as well as a few notable exceptions in which gastric cancer rates are either stable or increasing. Two main anatomical subtypes of gastric cancer exist, non-cardia and cardia, with different temporal trends and risk factors (such as obesity and reflux for cardia gastric cancer and Helicobacter pylori infection for non-cardia gastric cancer). Shifts in the distribution of anatomical locations have been detected in several high-incidence regions. H. pylori is an important aetiological factor for gastric cancer; importantly, the anticipated long-term findings from studies examining the effect of H. pylori eradication on the risk of (re)developing gastric cancer have emerged in the past few years. In this Review, we highlight the latest trends in incidence and mortality using an evidence-based approach. We make the best possible inferences, including clinical and public health inference, on the basis of the quality of the evidence available, and highlight burning questions as well as gaps in knowledge and public health practice that need to be addressed to reduce gastric cancer burden worldwide.

The Predictive Performance of Contemporary Guideline Recommendations for Helicobacter pylori Testing in a United States Population

BACKGROUND

The Houston Consensus Conference and American College of Gastroenterology (ACG) have recommended Helicobacter pylori screening in United States populations with specific risk factors. However, the performance of these guidelines in clinical practice is not known.

METHODS

We identified consecutive patients undergoing upper endoscopy with gastric biopsies for any indication in a safety-net hospital in Houston, TX during January 2015-December 2016. We tested the association between the presence of H pylori (histopathology, stool antigen, urea breath test, immunoglobulin G serology, or prior treatment) and H pylori risk factors using logistic regression models, reported as odds ratios and 95% confidence intervals (CIs). We evaluated the area under the receiver operating characteristic (AUROC) curve for predictive ability of individual risk factors identified by the Houston Consensus Conference and ACG.

RESULTS

Of 942 patients, the prevalence of H pylori infection was 51.5%. The risk factors with the highest predictive performance included first-generation immigrant (AUROC, 0.59) and Hispanic or black race/ethnicity (AUROC, 0.57), whereas the remaining 7 risk factors/statements had low predictive value. A model that combined first-generation immigrant status, black or Hispanic race/ethnicity, dyspepsia, and reflux had higher predictive ability for H pylori infection (AUROC, 0.64; 95% CI, 0.61-0.68) than any individual risk factor.

CONCLUSIONS

In this contemporary U.S. cohort, the performance of individual risk factors identified by the Houston Consensus Conference and ACG was generally low for predicting H pylori infection except for black or Hispanic race/ethnicity and first-generation immigrant status. A risk prediction model combining several risk factors had improved diagnostic performance and should be validated in future studies.

Prior Diagnosis of Barrett's Esophagus Is Infrequent, but Associated with Improved Esophageal Adenocarcinoma Survival

BACKGROUND

Efforts to reduce mortality from esophageal adenocarcinoma (EA) have focused on screening and surveillance of Barrett's esophagus (BE).

AIMS

We sought to determine the frequency of prior diagnosis of BE in patients with EA and to evaluate the impact of a prior BE diagnosis on mortality in EA patients.

METHODS

This was a retrospective cohort study of patients diagnosed with EA in the VA during 2002-2016. We compared the distributions of EA stage and receipt of treatment between EA patients with and without a prior BE diagnosis and used Cox proportional hazards models to compare mortality risk (all-cause and cancer specific) unadjusted and adjusted for stage and treatment to assess their impact on any survival differences.

RESULTS

Among 8564 EA patients, only 4.9% had a prior BE diagnosis. The proportion with prior BE diagnosis increased from 3.2% in EA patients diagnosed during 2005-2007 to 7.0% in those diagnosed during 2014-2016. EA patients with a prior BE diagnosis were more likely to have stage 1 disease and receive any treatment. A prior BE diagnosis was associated with lower all-cause mortality risk (hazard ratio [HR] unadjusted for stage, 0.69; 95% CI, 0.61-0.80), which was largely explained by the earlier stage of EA at the time of diagnosis (HR adjusted for stage, 0.87; 95% CI, 0.75-0.99). There was no evidence of lead time bias or length time bias.

CONCLUSIONS

Prior diagnosis of BE was associated with better survival, largely due to earlier EA stage at diagnosis.