Meta-Analyses of Two Treatment Regimens for Retinal Vein Occlusion.

BACKGROUND AND OBJECTIVES: To pool available data on the change in best-corrected visual acuity (BCVA), central retinal thickness (CRT), and number of injections as reported by treat and extend (T&E) and pro re nata (PRN) regimens for retinal vein occlusion (RVO). MATERIALS AND METHODS: After PubMed was queried, separate random effect models were fitted to the data extracted and the Wald test was used to compare the estimates of the two independent meta-analyses. RESULTS: Fourteen T&E and 29 PRN studies were included in two independent meta-analyses. No significant difference was observed in BCVA (+14.74 [+11.52, +17.96] in T&E vs +15.90 [+14.24, + 17.56] in PRN, P = 0.530) or CRT improvements (-259.56 [-189.02, -330.09] in T&E vs -256.58 [-226.57, -286.48] in PRN, P = 0.939). More injections over 12 months were observed in T&E regimens (7.48 [6.32, 8.65] vs 5.13 [4.20, 6.06] in PRN, P = 0.002). CONCLUSION: Although more injections may be required, T&E achieves similar functional and anatomic benefits as compared to PRN regimens. [Ophthalmic Surg Lasers Imaging Retina 2023;54:244-250.].

Exploration of Rapid Automatized Naming and Standard Visual Tests in Prodromal Alzheimer Disease Detection.

BACKGROUND: Visual tests in Alzheimer disease (AD) have been examined over the last several decades to identify a sensitive and noninvasive marker of the disease. Rapid automatized naming (RAN) tasks have shown promise for detecting prodromal AD or mild cognitive impairment (MCI). The purpose of this investigation was to determine the capacity for new rapid image and number naming tests and other measures of visual pathway structure and function to distinguish individuals with MCI due to AD from those with normal aging and cognition. The relation of these tests to vision-specific quality of life scores was also examined in this pilot study. METHODS: Participants with MCI due to AD and controls from well-characterized NYU research and clinical cohorts performed high and low-contrast letter acuity (LCLA) testing, as well as RAN using the Mobile Universal Lexicon Evaluation System (MULES) and Staggered Uneven Number test, and vision-specific quality of life scales, including the 25-Item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25) and 10-Item Neuro-Ophthalmic Supplement. Individuals also underwent optical coherence tomography scans to assess peripapillary retinal nerve fiber layer and ganglion cell/inner plexiform layer thicknesses. Hippocampal atrophy on brain MRI was also determined from the participants' Alzheimer disease research center or clinical data. RESULTS: Participants with MCI (n = 14) had worse binocular LCLA at 1.25% contrast compared with controls (P = 0.009) and longer (worse) MULES test times (P = 0.006) with more errors in naming images (P = 0.009) compared with controls (n = 16). These were the only significantly different visual tests between groups. MULES test times (area under the receiver operating characteristic curve [AUC] = 0.79), MULES errors (AUC = 0.78), and binocular 1.25% LCLA (AUC = 0.78) showed good diagnostic accuracy for distinguishing MCI from controls. A combination of the MULES score and 1.25% LCLA demonstrated the greatest capacity to distinguish (AUC = 0.87). These visual measures were better predictors of MCI vs control status than the presence of hippocampal atrophy on brain MRI in this cohort. A greater number of MULES test errors (rs = -0.50, P = 0.005) and worse 1.25% LCLA scores (rs = 0.39, P = 0.03) were associated with lower (worse) NEI-VFQ-25 scores. CONCLUSIONS: Rapid image naming (MULES) and LCLA are able to distinguish MCI due to AD from normal aging and reflect vision-specific quality of life. Larger studies will determine how these easily administered tests may identify patients at risk for AD and serve as measures in disease-modifying therapy clinical trials.

Anti-Asian American Racism: A Wake-Up Call for Population-Based Cancer Research.

Since the start of the COVID-19 pandemic, Asian Americans have been subjected to rising overt discrimination and violent hate crimes, highlighting the health implications of racism toward Asian Americans. As Asian Americans are the only group for whom cancer is the leading cause of death, these manifestations of anti-Asian racism provoke the question of the impact of racism across the cancer continuum for Asian Americans. In this Commentary, we describe how the myth of the "model minority" overlooks the diversity of Asian Americans. Ignoring such diversity in sociocultural trends, immigration patterns, socioeconomic status, health behaviors, and barriers to care masks disparities in cancer risk, access to care, and outcomes across Asian American populations. We recommend cancer epidemiologists, population science researchers, and oncology providers direct attention toward: (i) studying the impacts of structural and personally mediated racism on cancer risk and outcomes; (ii) ensuring studies reflect the uniqueness of individual ethnic groups, including intersectionality, and uncover underlying disparities; and (iii) applying a critical race theory approach that considers the unique lived experiences of each group. A more nuanced understanding of cancer health disparities, and how drivers of these disparities are associated with race and differ across Asian American ethnicities, may elucidate means through which these disparities can be alleviated.

Afferent and Efferent Visual Markers of Alzheimer's Disease: A Review and Update in Early Stage Disease.

Vision, which requires extensive neural involvement, is often impaired in Alzheimer's disease (AD). Over the last few decades, accumulating evidence has shown that various visual functions and structures are compromised in Alzheimer's dementia and when measured can detect those with dementia from those with normal aging. These visual changes involve both the afferent and efferent parts of the visual system, which correspond to the sensory and eye movement aspects of vision, respectively. There are fewer, but a growing number of studies, that focus on the detection of predementia stages. Visual biomarkers that detect these stages are paramount in the development of successful disease-modifying therapies by identifying appropriate research participants and in identifying those who would receive future therapies. This review provides a summary and update on common afferent and efferent visual markers of AD with a focus on mild cognitive impairment (MCI) and preclinical disease detection. We further propose future directions in this area. Given the ease of performing visual tests, the accessibility of the eye, and advances in ocular technology, visual measures have the potential to be effective, practical, and non-invasive biomarkers of AD.