Trial reportJAMA network open2026
Chatbot Intervention and Cancer Risk Knowledge in Adolescents and Young Adults With Cancer Predisposition: A Randomized Clinical Trial.
Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04323774 (AYA-RISE), which is not on this map. Not yet cited in PubMed.
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.
AYA-RISE: Refining a Scalable, Patient- and Family-centered Intervention to Improve Cancer Risk Communication and Decision-making Among Adolescents and Young Adults With Cancer Risk Syndromes
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Adolescents and young adults (AYAs) with hereditary cancer predisposition face high rates of lifetime cancer risk. Models to support their understanding of cancer risk have not been developed. Objective: To assess the effect of an electronic chatbot-based cancer risk communication tool on AYAs' understanding of cancer risk. Design, Setting, and Participants: This randomized clinical trial was conducted at the Dana-Farber Cancer Institute, Emory University/Children's Healthcare of Atlanta, University of Chicago, and University of Utah Huntsman Cancer Institute between December 20, 2022, and May 30, 2025 and compared cancer predisposition visits alone vs visits with an electronic chatbot-based cancer risk communication tool, AYA Risk Information and Screening Education, using baseline and follow-up surveys to assess changes in knowledge of cancer risk by age 30 years and over their lifetime, knowledge of recommended screening, and level of psychological distress. Eligible participants were English speakers aged 12 to 24 years, who had 1 of 9 hereditary cancer predisposition syndromes. The primary analysis was conducted according to the intention-to-treat principle. Data were analyzed from July 21 to September 3, 2025. Intervention: Chatbot-based intervention with cancer risk and recommended screening information tailored to each syndrome. Additional links to resource pages with chat summary content (learn), recommended age-based screening (plan), guidance about talking with peers (share), links to support organizations (connect), and coping and bereavement support (grow). Main Outcomes and Measures: The primary outcome was knowledge of cancer risk. The secondary outcomes were knowledge of recommended screening and level of psychological distress. Results: Of 798 AYAs assessed, 106 AYAs were randomized and enrolled (54 to the intervention group and 52 to the control group). Participants' mean (SD) age was 18.3 (SD, 3.9) years, and 64% (68 of 106) were girls or women. At baseline, 38% of AYAs (20 of 52) in the control group and 52% (28 of 54) of AYAs in the intervention group had accurate knowledge of cancer risk by age 30 years. Following the clinic visit, 37% (19 of 52) of AYAs in the control group and 78% (42 of 54) in the chatbot-based intervention group had accurate knowledge, reflecting greater improvement in knowledge of cancer risk by age 30 years (OR, 3.50; 95% CI, 1.45-9.19; P = .005). AYAs in the intervention group had non-statistically significant improvements in knowledge of recommended screening (OR, 2.17; 95% CI, 0.85-5.59; P = .11) and reductions in distress compared with AYAs in the control group (distress thermometer, β = -0.50; 95% CI, -1.09 to 0.08; P = .09). Conclusions and Relevance: In this randomized clinical trial, use of a chatbot-based intervention combined with a cancer predisposition clinic visit improved knowledge of cancer risk by age 30 years over a clinic visit alone, without increasing distress. Combining human interaction in the clinic with personalized, accurate electronic information can support AYAs with cancer predisposition and other serious conditions. Trial Registration: ClinicalTrials.gov Identifier: NCT04323774.
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.