Evidence map›Paper›PMID 38352896›Full record

ArticleContemporary clinical trials communications2024

SECRETS: Subject-efficient clinical randomized controlled trials using synthetic intervention.

Sayeri Lala, Niraj K Jha

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Sayeri LalaDepartment of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.
Niraj K JhaDepartment of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.

Funding

Interdisciplinary Comprehensive Arm Rehab Evaluation (I-CARE) Stroke InitiativeU01NS056256 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DROMERICK, ALEXANDER W, WINSTEIN, CAROLEE J · 2008 to 2013
$12.7M
Thymectomy in Non-Thymomatous MG Patients on PrednisoneU01NS042685 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUTTER, GARY R · 2005 to 2015
$11.7M
Amitriptyline and Topiramate in the Prevention of Childhood MigraineU01NS076788 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI HERSHEY, ANDREW D, POWERS, SCOTT W · 2011 to 2014
$9.3M
NINDS NIH HHS U01 NS042685NINDS NIH HHS U01 NS056256NINDS NIH HHS U01 NS076788
6 · The paper itself

Abstract

Background: The parallel-group randomized controlled trial (RCT) is commonly used in Phase-3 clinical trials to establish treatment effectiveness but requires hundreds-to-thousands of subjects, making it difficult to implement, which leads to high Phase-3 trial failure rates. One approach to increasing power of a trial is to augment data collected from an RCT with external data from prospective studies or prior RCTs. However, this requires that external data be comparable to data from the study of interest, a condition that does not hold for new interventions or populations being studied. Another approach is to lower sample size requirements by using the cross-over design, which measures individual treatment effects (ITEs) to remove inter-subject variability; however, this design is only suitable for chronic conditions and interventions with effects that wash out rapidly. Method: We propose a novel and practical framework called SECRETS (Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention) to increase power of any parallel-group RCT by simulating the cross-over design using only data collected from the study. SECRETS first estimates ITEs across all subjects recruited to the RCT by using a state-of-the-art counterfactual estimation algorithm called synthetic intervention (SI). Since SI induces dependencies among the ITEs, we introduce a novel hypothesis testing strategy to test for treatment effectiveness. Results: We show that SECRETS can increase the power of an RCT while maintaining comparable significance levels; in particular, on three real-world clinical RCTs (Phase-3 trials), SECRETS increases power over the baseline method by Conclusion: SECRETS increases subject efficiency of an RCT by simulating the cross-over design using only data collected from the RCT; therefore, it is a feasible solution for increasing the trial's power, especially under settings where satisfying sample size requirements is difficult.

Indexed as

Clinical randomized controlled trialsCounterfactual estimationHypothesis testingSample efficiencySynthetic intervention

Identifiers

PMID38352896
PMCPMC10862504

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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.