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Anny H. Xiang

Researcher at Kaiser Permanente

Publications -  210
Citations -  15006

Anny H. Xiang is an academic researcher from Kaiser Permanente. The author has contributed to research in topics: Gestational diabetes & Diabetes mellitus. The author has an hindex of 50, co-authored 179 publications receiving 12881 citations. Previous affiliations of Anny H. Xiang include University of Southern California & University of California, Los Angeles.

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Brain responses to glucose ingestion are greater in children than adults and are associated with overweight and obesity

TL;DR: In this article, the authors investigated whether brain regions involved in the regulation of food intake respond differently to glucose ingestion in children and adults and the relationship between brain responses and weight status.
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Liver Fat Reduction After Gastric Banding and Associations with Changes in Insulin Sensitivity and β-Cell Function.

TL;DR: In this article, the relationship between changes in liver fat and changes in insulin sensitivity and β-cell function 2 years after gastric banding surgery was examined, and significant reductions in glycemic measures and increase in M/I were observed in individuals with LFC loss >2.5%.
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Diabetes in Pregnancy for Mothers and Offspring: Reflection on 30 Years of Clinical and Translational Research: The 2022 Norbert Freinkel Award Lecture

Anny H. Xiang
- 22 Feb 2023 - 
TL;DR: The authors provided an overview of the work that my colleagues and I have done to advance the knowledge base around diabetes and pregnancy in four areas: 1) diabetes risk after gestational diabetes mellitus (GDM), including racial and ethnic disparities; 2) the pathophysiology of GDM and subsequent diabetes in Hispanic women; 3) diabetes prevention and β-cell preservation following GDM; and 4) evidence for multiple potential developmental effects in offspring that vary according to the timing of exposure and severity of maternal diabetes during pregnancy.

Comparison of case-control to full cohort analyses under model

TL;DR: In this article, the authors investigate the question of whether or not estimates of relative risk from matched case-control studies well represent the population from which they were drawn and derive the formula for the asymptotic maximum partial likelihood estimators from nested case control studies when the Cox proportional hazards model is misspecified and compare these to the corresponding full cohort values under various types of model misspecification, such as covariate omission, mismodelling available measurements and covariates measured with error.
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602-P: Prenatal Exposure to Gestational Diabetes Mellitus and Autistic Traits among Typically Developing Children

TL;DR: GDM exposure and higher maternal glucose levels were associated with more autistic traits, suggesting that intrauterine exposure to a GDM hyperglycemic environment may affect autistic traits even among typically developing children.