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Connection

Peter Gottlieb to Insulin Antibodies

This is a "connection" page, showing publications Peter Gottlieb has written about Insulin Antibodies.

 
Connection Strength
 
 
 
0.565
 
  1. Bediaga NG, Li-Wai-Suen CSN, Haller MJ, Gitelman SE, Evans-Molina C, Gottlieb PA, Hippich M, Ziegler AG, Lernmark A, DiMeglio LA, Wherrett DK, Colman PG, Harrison LC, Wentworth JM. Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample. Diabetologia. 2021 11; 64(11):2432-2444.
    View in: PubMed
    Score: 0.181
  2. Sosenko JM, Yu L, Skyler JS, Krischer JP, Gottlieb PA, Boulware D, Miao D, Palmer JP, Steck AK. The Use of Electrochemiluminescence Assays to Predict Autoantibody and Glycemic Progression Toward Type 1 Diabetes in Individuals with Single Autoantibodies. Diabetes Technol Ther. 2017 03; 19(3):183-187.
    View in: PubMed
    Score: 0.133
  3. Steck AK, Fouts A, Miao D, Zhao Z, Dong F, Sosenko J, Gottlieb P, Rewers MJ, Yu L. ECL-IAA and ECL-GADA Can Identify High-Risk Single Autoantibody-Positive Relatives in the TrialNet Pathway to Prevention Study. Diabetes Technol Ther. 2016 07; 18(7):410-4.
    View in: PubMed
    Score: 0.125
  4. Eisenbarth GS, Moriyama H, Robles DT, Liu E, Yu L, Babu S, Redondo MJ, Redondo M, Gottlieb P, Wegmann D, Rewers M. Insulin autoimmunity: prediction/precipitation/prevention type 1A diabetes. Autoimmun Rev. 2002 May; 1(3):139-45.
    View in: PubMed
    Score: 0.048
  5. Triolo TM, Pyle L, Broncucia H, Armstrong T, Yu L, Gottlieb PA, Steck AK. Association of High-Affinity Autoantibodies With Type 1 Diabetes High-Risk HLA Haplotypes. J Clin Endocrinol Metab. 2022 03 24; 107(4):e1510-e1517.
    View in: PubMed
    Score: 0.047
  6. Fouts A, Pyle L, Yu L, Miao D, Michels A, Krischer J, Sosenko J, Gottlieb P, Steck AK. Do Electrochemiluminescence Assays Improve Prediction of Time to Type 1 Diabetes in Autoantibody-Positive TrialNet Subjects? Diabetes Care. 2016 Oct; 39(10):1738-44.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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