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Hribar, Michelle R.

https://orcid.org/0000-0003-1724-1858

Mayo Clinic

University of Illinois Chicago

Citations 3

Web-Based Amblyopia Decision Support Tool
Summers, Allison I. , Hatch, S.W., Wiecek, Emily , Hribar, Michelle R. , Robinson, Julianne L., Chen, Angela M., Kulp, Marjean T., Chen, Debora M. Lee, Repka, Michael X., Roberts, Tawna L. , Wallace, David K. , Vricella, Marilyn, Chang, Steven, Stutz, Kathleen M., Beaulieu, Wesley T., Kraker, Raymond T., Cotter, Susan A., Holmes, Jonathan M., Weise, Katherine K., Pineles, Stacy L., (PEDIG), Pediatric Eye Disease Investigator Group, Hatt, Sarah R. , Chen, Angela M. , Kulp, Marjean Taylor , Repka, Michael X. , Wang, Jingyun, Beaulieu, Wesley T , Kraker, Raymond T. , Cotter, Susan A. , Holmes, Jonathan M.

JAMA Ophthalmology | May 7, 2026 | Volume: 144 | Issue: 6 | Pages: 545

10.1001/jamaophthalmol.2026.1095 Get It

Importance Amblyopia is the leading cause of monocular decreased best-corrected vision in children. Early detection and intervention are key for optimal treatment outcomes; however, limited access to pediatric eye specialists may hinder timely care and affect visual outcomes. Given the shortage of specialty-trained eye care professionals in the US, there is need to support comprehensive eye care professionals who are willing to examine and treat children with amblyopia. Objective A panel from the Pediatric Eye Disease Investigator Group synthesized relevant literature and incorporated consensus opinion where direct evidence was lacking to create the Amblyopia Navigator Decision-Support Instrument, a free, web-based amblyopia decision support tool for eye care professionals. Evidence Review The decisions related to optimal diagnostic measures, pass/refer criteria, and management recommendations were informed by 147 publications. In areas where direct evidence was lacking, guidance was supplemented with clinical trial protocols or existing professional guidelines. When data were conflicting or unavailable, recommendations were established through committee consensus. A single reviewer independently performed standardized (though not systematic) literature reviews to avoid missing pertinent recent publications. Findings Presented are the process used, supporting evidence, and recommendations for testing methods, refractive correction, amblyopia treatment options, treatment adjustments, and monitoring schedules. Conclusions and Relevance Because amblyopia is common and typically responds well to treatment, decision support tools that optimize its management could increase access to pediatric eye care by facilitating earlier detection, enabling broader participation of primary eye care professionals, and ultimately improving visual outcomes. Through this work and the development of the forthcoming free, web-based application version, Amblyopia Navigator Decision-Support Instrument, the Pediatric Eye Disease Investigator Group has created decision support tools designed to assist optometrists and ophthalmologists in the care of children aged 3 to 17 years with amblyopia.
Semaglutide and diabetic retinopathy: an OHDSI network study
Cai, Cindy X. , Hribar, Michelle R. , Wang, Sophia Y. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Alshammari, Thamir , Falconer, Thomas , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Brash, James T., Morgan‐Cooper, Hannah, Desai, Priya , Rustam, Zainab, Zhu, Gu , Swerdel, Joel N. , Suchard, Marc A. , Ryan, Patrick , Cai, Cindy Xinji , Barkmeier, Andrew, Stocking, Jacqueline C , Chen, John J , Mathioudakis, Nestoras N , Nishimura, Akihiko, Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Barkmeier, Andrew J. , Xu, Benjamin Yixing , Leng, Theodore , Boland, Michael V. , Bu, Fan , Martin, Benjamin, Zhang, Linying , Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Xie, Yangyiran , Lee, Lok Hin , Dorr, David A , Weiskopf, Nicole G. , Desai, Priya, Tran, Diep D. , Rustam, Zainab, Sena, Anthony G. , Nagy, Paul G. , Schuemie, Martijn J. , Hripcsak, George

BMJ Open Diabetes Research & Care | November 5, 2025 | Volume: 13 | Issue: 6 | Pages: e005424

10.1136/bmjdrc-2025-005424 Get It

Introduction Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA) used to treat type 2 diabetes mellitus (T2D), has potential associations with higher rates of diabetic retinopathy (DR) complications including proliferative DR (PDR) and diabetic macular edema (DME). The purpose of this study was to determine whether an association exists between semaglutide and PDR and treatment-requiring DR/DME. Research design and methods This was a retrospective cohort study of 14 databases (six administrative claims and eight electronic health records) in the Observational Health Data Sciences and Informatics Evidence Network. Adults with T2D on semaglutide, other GLP-1RA (dulaglutide, exenatide), or non-GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from 1 December 2017 to 31 December 2023 were included. The association between semaglutide and PDR or treatment-requiring DR/DME was assessed using an active-comparator cohort design comparing new users of semaglutide as second-line T2D treatment to those on other GLP-1RAs and non-GLP-1RAs. Propensity score-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs). Network-wide HR estimates were generated using a random-effects meta-analysis. Results The study included 810 390 new semaglutide users for T2D. PDR risk for semaglutide was similar to dulaglutide (HR 0.81, 95% CI 0.42 to 1.54, p=0.51), empagliflozin (HR 0.83, 95% CI 0.53 to 1.30, p=0.41) and sitagliptin (HR 0.83, 95% CI 0.45 to 1.55, p=0.57) but was lower than glipizide (HR 0.59, 95% CI 0.39 to 0.88, p=0.01). The risk for treatment-requiring DR/DME for semaglutide was similar to empagliflozin (HR 0.66, 95% CI 0.43 to 1.02, p=0.06) but lower than dulaglutide (HR 0.53, 95% CI 0.31 to 0.91, p=0.02), sitagliptin (HR 0.46, 95% CI 0.26 to 0.81, p=0.008) and glipizide (HR 0.55, 95% CI 0.33 to 0.91, p=0.02). Conclusions and relevance We did not identify increased risk for either PDR or treatment-requiring DR/DME comparing semaglutide with other GLP-1RAs or non-GLP-1RAs. Patients with T2D should still undergo close eye care follow-up, particularly when initiating new antihyperglycemic medications.
Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy
Cai, Cindy X. , Hribar, Michelle R. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Wang, Sophia Y. , Ehrlich, Joshua R. , Armbrust, Karen R. , Alshammari, Thamir , Swerdel, Joel N. , Suchard, Marc A. , Falconer, Thomas , DuVall, Scott L. , Viernes, Benjamin , O’Brien, William J. , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Takkouche, Sahar , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Rojas‐Carabali, William , Brash, James T., Lee, David A. , Mawn, Louise A. , Agrawal, Rupesh, Morgan‐Cooper, Hannah, Desai, Priya , Ryan, Patrick , Barkmeier, Andrew, Chen, John J , Mathioudakis, Nestoras N , Stocking, Jacqueline C , Lee, Cecilia S , Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Xu, Benjamin Yixing , Leng, Theodore , Barkmeier, Andrew J. , Boland, Michael V. , Dorr, David A , Boyce, Danielle M. , Schuemie, Martijn J. , Bu, Fan , Sena, Anthony G. , Hripcsak, George , Nishimura, Akihiko, Nagy, Paul G. , Matheny, Michael E. , Zhang, Linying , Martin, Benjamin, Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Lee, Lok Hin , Xie, Yangyiran , Weiskopf, Nicole G. , Desai, Priya

JAMA Ophthalmology | February 20, 2025 | Volume: 143 | Issue: 4 | Pages: 304

10.1001/jamaophthalmol.2024.6555 Get It

Importance Semaglutide, a glucagonlike peptide-1 receptor agonist (GLP-1RA), has recently been implicated in cases of nonarteritic anterior ischemic optic neuropathy (NAION), raising safety concerns in the treatment of type 2 diabetes (T2D). Objective To investigate the potential association between semaglutide and NAION in the Observational Health Data Sciences and Informatics (OHDSI) network. Design, Setting, and Participants This was a retrospective study across 14 databases (6 administrative claims and 8 electronic health records). Included were adults with T2D taking semaglutide, other GLP-1RA (dulaglutide, exenatide), or non–GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from December 1, 2017, to December 31, 2023. The incidence proportion and rate of NAION were calculated. Association between semaglutide and NAION was assessed using 2 approaches: an active-comparator cohort design comparing new users of semaglutide with those taking other GLP-1RAs and non–GLP-1RA drugs, and a self-controlled case-series (SCCS) analysis to compare individuals’ risks during exposure and nonexposure periods for each drug. The cohort design used propensity score–adjusted Cox proportional hazards models to estimate hazard ratios (HRs). The SCCS used conditional Poisson regression models to estimate incidence rate ratios (IRRs). Network-wide HR and IRR estimates were generated using a random-effects meta-analysis model. Exposures GLP-1RA and non–GLP-1RAs. Main Outcomes and Measures NAION under 2 alternative definitions based on diagnosis codes: one more inclusive and sensitive, the other more restrictive and specific. Results The study included 37.1 million individuals with T2D, including 810 390 new semaglutide users. Of the 43 620 new users of semaglutide in the Optum’s deidentified Clinformatics Data Mart Database, 24 473 (56%) were aged 50 to 69 years, and 26 699 (61%) were female. The incidence rate of NAION was 14.5 per 100 000 person-years among semaglutide users. The HR for NAION among new users of semaglutide was not different compared with that of the non–GLP-1RAs using the sensitive NAION definition—empagliflozin (HR, 1.44; 95% CI, 0.78-2.68; P = .12), sitagliptin (HR, 1.30; 95% CI, 0.56-3.01; P = .27), and glipizide (HR, 1.23; 95% CI, 0.66-2.28; P = .25). The risk was higher only compared with patients taking empagliflozin (HR, 2.27; 95% CI, 1.16-4.46; P = .02) using the specific definition. SCCS analysis of semaglutide exposure showed an increased risk of NAION (meta-analysis IRR, 1.32; 95% CI, 1.14-1.54; P < .001). Conclusions and Relevance Results of this study suggest a modest increase in the risk of NAION among individuals with T2D associated with semaglutide use, smaller than that previously reported, and warranting further investigation into the clinical implications of this association.