Evidence map›Paper›PMID 41802247›Full record

ArticleJCO clinical cancer informatics2026

Cascade Chatbot: A Scalable Approach to Family-Based Genetic Testing for Hereditary Cancer Syndromes.

Lauren B Davis Rivera, Lauren Mitchell, Muhammad Danyal Ahsan, Isabelle Chandler, Emily S Epstein, Emerson P Borsato, Caitlin Allen, Kimberly A Kaphingst, Richard L Bradshaw, Guilherme Del Fiol and 4 more

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lauren B Davis RiveraDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY.
Lauren MitchellGenetics and Personalized Cancer Prevention Program, Weill Cornell Medicine, New York, NY.ORCID 0009-0001-6800-8792
Muhammad Danyal AhsanGenetics and Personalized Cancer Prevention Program, Weill Cornell Medicine, New York, NY.ORCID 0000-0001-8633-8931
Isabelle ChandlerDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY.ORCID 0009-0000-0354-030X
Emily S EpsteinGenetics and Personalized Cancer Prevention Program, Weill Cornell Medicine, New York, NY.ORCID 0009-0001-9619-7498
Emerson P BorsatoDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT.ORCID 0000-0002-2786-6395
Caitlin AllenDepartment of Public Health Sciences, University of South Carolina, Charleston, SC.ORCID 0000-0002-6288-3529
Kimberly A KaphingstDepartment of Communication and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT.ORCID 0000-0003-2668-9080
Richard L BradshawDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT.ORCID 0000-0001-7363-0327
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT.ORCID 0000-0001-9954-6799
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT.ORCID 0000-0003-4282-9338
Anne C MadeoDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UT.ORCID 0000-0003-2048-9491
Ravi N SharafGenetics and Personalized Cancer Prevention Program, Weill Cornell Medicine, New York, NY.ORCID 0000-0002-6905-9823
Melissa K FreyDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY.ORCID 0000-0002-6705-1211

Funding

GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA274582 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GUILHERME DEL FIOL, Kensaku Kawamoto · 2023 to 2026
$3.3M
AHRQ HHS R18 HS028791NCI NIH HHS U24 CA274582
6 · The paper itself

Abstract

purposeCascade genetic testing enables identification of relatives at risk of hereditary cancer syndromes, creating opportunities for early detection and prevention. However, uptake of cascade testing remains low, with approximately one-third of eligible relatives completing testing, largely because of reliance on patient-mediated communication. Although clinician-mediated outreach has demonstrated improved efficacy, it is often limited by resource demands. Scalable digital health tools are a promising strategy to address this gap in testing uptake.

methodsIn this quality improvement initiative, we developed a digital cascade chatbot to deliver gene-specific education and facilitate access to genetic services among at-risk relatives. Between October 2024 and January 2025, 100 consecutive probands with a hereditary cancer pathogenic variant seen in a gynecologic oncology clinic were offered a cascade chatbot to share with their relatives. The primary outcome was proband acceptance of the cascade chatbot. Secondary outcomes included sharing of the cascade chatbot with at-risk relatives and relatives' subsequent utilization of genetic services. Outcomes were evaluated through telephone follow-up at 2 weeks and 3 months after chatbot introduction.

resultsFifty-nine of 100 probands reported having relatives who had not undergone genetic testing. Among this group, 58 (98.3%) accepted the cascade chatbot. At 2-week follow-up, 44 of 58 probands (75.9%) had shared the cascade chatbot with at least one relative, and an additional eight (13.8%) reported plans to share. At 3-month follow-up with probands, 48 (82.8%) probands had shared the cascade chatbot with at least one relative. A total of 122 relatives received the cascade chatbot and 96 (78.7%) were reached for 3-month follow-up. Among the 96 relatives reached, 49 (51.0%) had scheduled or completed a genetics appointment, and of them, 36 (73.5%) had completed testing.

conclusionA cascade chatbot was highly acceptable to probands and effectively engaged relatives. Scalable digital health tools may enhance cascade testing and support precision cancer prevention.

Indexed as

Genetic TestingNeoplastic Syndromes, HereditaryAdultFamilyFemaleGenetic CounselingGenetic Predisposition to DiseaseHumansMaleMiddle Aged

Identifiers

PMID41802247
PMCPMC13228992

What OpenQuestion holds

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Registered trials

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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.