ArticleContemporary clinical trials2020
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.
Article in Contemporary clinical trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03984773 (A Stepped-Wedge Cluster Randomized Trial Using Machine-Generated Mortality Estimates and Behavioral Nudges to Promote Advance Care Planning Discussion Among Cancer Patients), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
A Stepped-Wedge Cluster Randomized Trial Using Machine-Generated Mortality Estimates and Behavioral Nudges to Promote Advance Care Planning Discussion Among Cancer Patients
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review.The oncologist · 2025Pooled it
- Impact of Behavioral Nudges on the Quality of Serious Illness Conversations Among Patients With Cancer: Secondary Analysis of a Randomized Controlled Trial.JCO oncology practice · 2022Trial
- Accuracy and Equity of the End-of-Life Care Index in Predicting 1-Year Mortality.JAMA network open · 2026Article
- Survival and Surrogate Biomarkers in Interventional Oncology Trials: Pitfalls, Challenges, and Future Directions.Cardiovascular and interventional radiology · 2026Review
- Artificial Intelligence in Oncology: A 10-Year ClinicalTrials.gov-Based Analysis Across the Cancer Control Continuum.Cancers · 2025Review
- Factors and Barriers to Goals-of-Care Conversations for Patients With Cancer and Inpatient Mortality.JCO oncology practice · 2023Article
- Patient Identification for Serious Illness Conversations: A Scoping Review.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
introductionPatients with cancer often receive care that is not aligned with their personal values and goals. Serious illness conversations (SICs) between clinicians and patients can help increase a patient's understanding of their prognosis, goals and values. METHODS AND ANALYSIS: In this study, we describe the design of a stepped-wedge cluster randomized trial to evaluate the impact of an intervention that employs machine learning-based prognostic algorithms and behavioral nudges to prompt oncologists to have SICs with patients at high risk of short-term mortality. Data are collected on documented SICs, documented advance care planning discussions, and end-of-life care utilization (emergency room and inpatient admissions, chemotherapy and hospice utilization) for patients of all enrolled clinicians.
conclusionThis trial represents a novel application of machine-generated mortality predictions combined with behavioral nudges in the routine care of outpatients with cancer. Findings from the trial may inform strategies to encourage early serious illness conversations and the application of mortality risk predictions in clinical settings.
trial registrationClinicaltrials.gov Identifier: NCT03984773.
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Registered trials
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