Trial reportNEJM evidence2024
Smart Start - Designing Powerful Clinical Trials Using Pilot Study Data.
Trial report in NEJM evidence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04336969 (Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D - 4T Study), which is not on this map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D - 4T Study
Who cites it
3 citing papers in PubMed.
- A Quantitative Framework for Evaluating the Performance of Algorithm-Directed Whole-Population Remote Patient Monitoring: Tutorial for Type 1 Diabetes Care.JMIR diabetes · 2026Article
- Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring.JMIR pediatrics and parenting · 2025Article
- The adaptation of a single institution diabetes care platform into a nationally available turnkey solution.NPJ digital medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundDigital health interventions may be optimized before evaluation in a randomized clinical trial. Although many digital health interventions are deployed in pilot studies, the data collected are rarely used to refine the intervention and the subsequent clinical trials.
methodsWe leverage natural variation in patients eligible for a digital health intervention in a remote patient-monitoring pilot study to design and compare interventions for a subsequent randomized clinical trial.
resultsOur approach leverages patient heterogeneity to identify an intervention with twice the estimated effect size of an unoptimized intervention.
conclusionsOptimizing an intervention and clinical trial based on pilot data may improve efficacy and increase the probability of success. (Funded by the National Institutes of Health and others; ClinicalTrials.gov number, NCT04336969.)
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.