Linda DiMeglio

Dr. Linda DiMeglio

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2018 in The Lancet
Verified
Journal Article
Closed access
LDLinda DiMeglio
Linda DiMeglio
CECarmella Evans-Molina
Carmella Evans-Molina
RORichard A Oram
Richard A Oram

1 July 2011 in The Lancet
Verified
Journal Article
Closed access
TOTihamer Orban
Tihamer Orban
BBBrian Bundy
Brian Bundy
DBDorothy J Becker
Dorothy J Becker
LDLinda DiMeglio
Linda DiMeglio
SGStephen E Gitelman
Stephen E Gitelman
JSJay S Skyler
Jay S Skyler


12 June 2013 in Diabetes Care
Verified
Journal Article
Open access
PDF file
JWJamie R. Wood
Jamie R. Wood
KMKellee M. Miller
Kellee M. Miller
DMDavid M. Maahs
David M. Maahs
RBRoy W. Beck
Roy W. Beck
LDLinda DiMeglio
Linda DiMeglio
SWStephanie E. Woerner
Stephanie E. Woerner
OBJECTIVE: To assess the proportion of youth with type 1 diabetes under the care of pediatric endocrinologists in the United States meeting targets for HbA1c, blood pressure (BP), BMI, and lipids. RESEARCH DESIGN AND METHODS: Data were evaluated for 13,316 participants in the T1D Exchange clinic registry younger than 20 years old with type 1 diabetes for ≥1 year. RESULTS: American Diabetes Association HbA1c targets of <8.5% for those younger than 6 years, <8.0% for those 6 to younger than 13 years old, and <7.5% for those 13 to younger than 20 years old were met by 64, 43, and 21% of participants, respectively. The majority met targets for BP and lipids, and two-thirds met the BMI goal of <85th percentile. CONCLUSIONS: Most children with type 1 diabetes have HbA1c values above target levels. Achieving American Diabetes Association goals remains a significant challenge for the majority of youth in the T1D Exchange registry.

1 June 2013 in The Lancet
Verified
Journal Article
Closed access
AMAntoinette Moran
Antoinette Moran
BBBrian Bundy
Brian Bundy
DBDorothy J Becker
Dorothy J Becker
LDLinda DiMeglio
Linda DiMeglio
SGStephen E Gitelman
Stephen E Gitelman
TMThomas Mandrup-Poulsen
Thomas Mandrup-Poulsen

12 December 2019 in Diabetes Care
Verified
Journal Article
Closed access
PDF file
MBManuela Battaglia
Manuela Battaglia
SASimi Ahmed
Simi Ahmed
MAMark S. Anderson
Mark S. Anderson
MAMark A. Atkinson
Mark A. Atkinson
DBDorothy Becker
Dorothy Becker
MPMark Peakman
Mark Peakman
The clinical diagnosis of new-onset type 1 diabetes has, for many years, been considered relatively straightforward. Recently, however, there is increasing awareness that within this single clinical phenotype exists considerable heterogeneity: disease onset spans the complete age range; genetic susceptibility is complex; rates of progression differ markedly, as does insulin secretory capacity; and complication rates, glycemic control, and therapeutic intervention efficacy vary widely. Mechanistic and immunopathological studies typically show considerable patchiness across subjects, undermining conclusions regarding disease pathways. Without better understanding, type 1 diabetes heterogeneity represents a major barrier both to deciphering pathogenesis and to the translational effort of designing, conducting, and interpreting clinical trials of disease-modifying agents. This realization comes during a period of unprecedented change in clinical medicine, with increasing emphasis on greater individualization and precision. For complex disorders such as type 1 diabetes, the option of maintaining the “single disease” approach appears untenable, as does the notion of individualizing each single patient’s care, obliging us to conceptualize type 1 diabetes less in terms of phenotypes (observable characteristics) and more in terms of disease endotypes (underlying biological mechanisms). Here, we provide our view on an approach to dissect heterogeneity in type 1 diabetes. Using lessons from other diseases and the data gathered to date, we aim to delineate a roadmap through which the field can incorporate the endotype concept into laboratory and clinical practice. We predict that such an effort will accelerate the implementation of precision medicine and has the potential for impact on our approach to translational research, trial design, and clinical management.