Analysis of T1D Prevention Trials Sheds Light on Pitfalls, Factors Linked to Low Screening


An analysis of data from type 1 diabetes prevention trials is shedding new light on factors associated with increased and decreased likelihood of screening for type 1 diabetes among participants considered eligible for each trial.

A health care providers counseling a patient on type 1 diabetes screening

With FDA approval, teplizumab (Tzield) ushered in a new era in the management of type 1 diabetes. Indicated for delaying onset of type 1 diabetes in those with stage 1 or stage 2 type 1 diabetes, the agent was examined in multiple trials, including the pivotal TN-10 trial.

With the need for education on diabetes staging among the public more evident and pressing than ever, results of a study examining trials within the TrialNet Pathway to Prevention offers helpful insight into factors associated with screening for such trials, which investigators hope could help identify populations to target with greater screening and education efforts related to type 1 diabetes staging.

“To our knowledge, this is the first study to analyze potential factors influencing screening for type 1 diabetes prevention trials,” wrote investigators.

Once a fictional scenario, the diabetes community has been called to action to optimize screening efforts for type 1 diabetes to allow the agent to fulfill its full potential and alleviate the burden of type 1 diabetes for as many as possible. However, this becomes a perplexing hurdle as, for decades, screening has received a subpar emphasis in many clinical interactions due to the lack of options outside of watchful waiting for the development of type 1 diabetes.

With this in mind, a group of investigators, including multiple from the Type 1 Diabetes TrialNet Study Group, launched the current research endeavor to better understand factors associated with screening for type 1 diabetes in prevention trials. For the purpose of analysis, investigators used univariate and multivariate logistic regression models to examine participant, site, and study factors at the time of prevention trial accrual among participants considered eligible from a group of 5 trials within the TrialNet Pathway to Prevention. The specific studies of interest examined oral insulin (TN-07, TN-20), teplizumab (TN-10), abatacept (TN-18), and oral hydroxychloroquine (TN-22).

Initial analysis indicated the screening rates were 50% for TN-07 (584 screened of 1172 eligible), 9% for TN-10 (106 of 1249), 24% for TN-18 (313 of 1285), 17% for TN-20 (113 of 667), and 28% for TN-22 (371 of 1336). In grouped analyses with multivariate adjustment, results demonstrated younger again was associated with an increased likelihood of screening, with children aged less than 12 years at stage 1 significantly associated with screening in oral drug trials (P <.05) while being 12 years or older was associated with increased likelihood of screening for intravenous infusion trials and for TN-18 individuals (P for all <.05).

Analysis examining the impact of patient sex on screening across the trials as a group indicated male participants were more likely to screen for all trials in multivariate analysis (OR, 1.02 [95% CI, 1.00-1.05]; P <.05) and for oral drug trials in univariate analysis (OR, 1.21 [95% CI, 1.02-1.43]). When assessing the trials separately, results indicated participant sex was only significantly associated with screening in the TN-07 trial. Investigators found family history of type 1 diabetes was associated with increased screening but pointed out participants with offspring with type 1 diabetes had lower rates of screening for all trials and oral drug trials compared to those with other first-degree relatives as probands.

Further analysis demonstrated race and ethnicity were not found to be significant predictors of likelihood when trials were evaluated as a group, but investigators noted this could be because more than 85% of the study populations were non-Hispanic White participants. When examining trials individually, race and ethnicity were found to be significant participant factors in trial screening for TN-07 and TN-10. Investigators also noted multiple site factors, including larger monitoring volume and being located in the US, were associated with higher prevention trial screening.

“Clear differences exist between participants who screen for prevention trials and those who do not screen, and between the research sites involved in prevention trial screening," investigators concluded. "Participant age, sex, and relationship to proband are significantly associated with prevention trial screening in addition to key site factors. Identifying these factors can facilitate strategic recruitment planning to support rapid and successful enrollment into prevention trials.”

This study, “Barriers to Screening: An Analysis of Factors Impacting Screening for Type 1 Diabetes Prevention Trials,” was published in the Journal of the Endocrine Society.

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