Biomarkers of Chronic Pancreatitis: A systematic literature review.

BACKGROUND: Chronic pancreatitis (CP) does not have diagnostic or prognostic biomarkers. CP is the end stage of a progressive inflammatory syndrome that is diagnosed at late stages by morphologic features. To diagnose earlier stages of the disease, a new mechanistic definition was established based on identifying underlying pathogenic processes and biomarker evidence of disease activity and stage. Although multiple risk factors are known, the corresponding biomarkers needed to make a highly accurate diagnosis of earlier disease stages have not been established. The goal of this study is to systematically analyze the literature to identify the most likely candidates for development into biomarkers of CP. METHODS: We conducted a systematic review of candidate analytes from easily accessible biological fluids and identified 67 studies that compared CP to nonpancreatic-disease controls. We then ranked candidate biomarkers for sensitivity and specificity by area under the receiver operator curves (AUROCs). RESULTS: Five biomarkers had a large effect size (an AUROC > 0.96), whereas 30 biomarkers had a moderate effect size (an AUROC between 0.96 and 0.83) for distinguishing CP cases from controls or other diseases. However, the studies reviewed had marked variability in design, enrollment criteria, and biospecimen sample handling and collection. CONCLUSIONS: Several biomarkers have the potential for evaluation in prospective cohort studies and should be correlated with risk factors, clinical features, imaging studies and outcomes. The Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreas Cancer provides recommendations for avoiding design biases and heterogeneity in sample collection and handling in future studies.

Improving Follow-up and Reducing Barriers for Eye Screenings in Communities: The SToP Glaucoma Study.

PURPOSE: To evaluate factors associated with attendance to follow-up ophthalmic care, and to assess the impact of strategies to improve follow-up. DESIGN: Cross-sectional study. METHODS: This is an ongoing study to develop an eye screening paradigm, focusing on African Americans ≥50 years of age at multiple urban community sites in Baltimore, Maryland. Several strategies were employed aiming to increase follow-up attendance rates. Multivariable logistic regression was used to evaluate the associations between demographic, medical, and ocular factors with follow-up rate. RESULTS: The total number of referred patients presenting for a free eye examination (attendance rate) during the first phase, during the second phase, and overall was 686 (55.0%), 199 (63.8%), and 885 (57.0%), respectively. In fully adjusted models, the odds ratio (95% confidence intervals) for attending the follow-up visit was 1.82 (1.19, 2.79) for screening in second phase vs first phase, 0.62 (0.39, 0.99) for screening sites that were 3 to <5 miles vs <1 mile from the hospital, 1.70 (1.12, 2.59) in patients with body mass index ≥ 30 vs < 25 kg/m2, 2.03 (1.28, 3.21) in patients with presenting visual acuity < 20/40 vs ≥ 20/40, and 2.32 (1.24, 4.34) for patients with an abnormal vs normal macula. CONCLUSIONS: Obesity, short distance between screening sites and hospital, poor presenting visual acuity in the better eye, and an abnormal macula on fundus photography were associated with increased follow-up rate. Implementation of a combination of strategies effectively increased the follow-up rate. Wider adoption of these strategies in other screening programs has the potential to reduce the burden of visual impairment.