Prognostic models for predicting remission of diabetes following bariatric surgery: a systematic review and meta-analysis

Pushpa Singh, Nicola Adderley, Jonathan Hazlehurst, Malcolm Price, Abd A. Tahrani, Krishnarajah Nirantharakumar*, Srikanth Bellary

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Background: Remission of type 2 diabetes following bariatric surgery is well established but identifying patients who will go into remission is challenging. Purpose: To perform a systematic review of currently available diabetes remission prediction models, compare their performance, and evaluate their applicability in clinical settings. Data sources: A comprehensive systematic literature search of MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE and Cochrane Central Register of Controlled Trials was undertaken. The search was restricted to studies published in the last 15 years and in the English language. Study selection and data extraction: All studies developing or validating a prediction model for diabetes remission in adults after bariatric surgery were included. The search identified 4165 references of which 38 were included for data extraction. We identified 16 model development and 22 validation studies. Data synthesis: Of the 16 model development studies, 11 developed scoring systems and 5 proposed logistic regression models. In model development studies, 10 models showed excellent discrimination with area under curve (AUC) ≥ 0.800. Two of these prediction models, ABCD and DiaRem, were widely externally validated in different populations, a variety of bariatric procedures, and for both short- and long-term diabetes remission. Newer prediction models showed excellent discrimination in test studies, but external validation was limited. Limitations and Conclusions: Amongst the prediction models identified, the ABCD and DiaRem models were the most widely validated and showed acceptable to excellent discrimination. More studies validating newer models and focusing on long-term diabetes remission are needed.
Original languageEnglish
JournalDiabetes Care
Publication statusAccepted/In press - 15 Aug 2021

Bibliographical note

This is an author-created, uncopyedited electronic version of an article accepted for publication in Diabetes. The American Diabetes Association (ADA), publisher of Diabetes, is not responsible for any errors or omissions in this version of the manuscript or any version derived from it by third parties. The definitive publisher-authenticated version will be available in a future issue of Diabetes in print and online at http://diabetes.diabetesjournals.org.

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