Evidence map›Paper›PMID 41740148›Full record

ArticleJMIR research protocols2026

Digital Attention Bias in Cancer Survivors Intervention for Adolescent and Young Adult Cancer Survivors: Protocol for a Pilot Randomized Controlled Trial.

Nancy Lau, Chuan Zhou, Shannon Jh Hong, Homer Aalfs, Shannon Higgins, Isabel Badillo, Elizabeth McCauley, Tyler Ketterl, Eric J Chow, Jesse R Fann and 2 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06682039 (Anxiety and Negative Attentional Bias in Adolescent and Young Adult Cancer Survivors), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT06682039 nacompletednot on this map

Anxiety and Negative Attentional Bias in Adolescent and Young Adult Cancer Survivors

TypeinterventionalSponsorFred Hutchinson Cancer CenterRan2024 to 2026Enrolled70ConditionsChildhood Hematopoietic and Lymphatic System Neoplasm, Childhood Malignant Solid NeoplasmArmsInternet-Based Intervention, Interview, Questionnaire Administration, Text Message-Based Navigation Intervention
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Nancy LauDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0002-2160-5362
Chuan ZhouCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0000-0002-2919-3593
Shannon Jh HongDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.ORCID 0009-0004-6325-1672
Homer AalfsCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0000-0001-6447-1213
Shannon HigginsCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0000-0003-4718-1454
Isabel BadilloCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0009-0008-1083-7644
Elizabeth McCauleyDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0001-9763-9262
Tyler KetterlDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0003-2359-473X
Eric J ChowDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0003-3349-9330
Jesse R FannDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.ORCID 0000-0001-5294-4757
Lauren C HeathcoteInstitute of Psychiatry, Psychology, and Neuroscience, Department of Psychology, King's College London, London, United Kingdom.ORCID 0000-0003-2515-3102
Tonya M PalermoCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States.ORCID 0000-0001-6036-6715

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Pilot trial testing mobile health psychosocial intervention for Adolescentsand Young Adults with cancerK08CA263474 · NCI · SEATTLE CHILDREN'S HOSPITAL · PI Nancy Lau · 2022 to 2026
$1.0M
NCI NIH HHS K08 CA263474NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

backgroundAdolescent and young adult cancer survivors face a high burden of psychological late effects, with cancer-related anxiety being a prevalent mental health concern. Despite the significant need for care, more than half of adolescent and young adult cancer survivors, who require psychosocial services, remain untreated. Digital health interventions offer a promising solution to bridge this care gap. Attention bias modification (ABM) is an evidence-based digital intervention for anxiety disorders. This intervention targets automatic and unconscious negative attention biases and retrains attention away from threat and toward neutral or positive stimuli. Recent research has successfully adapted ABM interventions for cancer survivors. However, ABM has not yet been adapted or tested for adolescent and young adult cancer survivors.

objectiveThis protocol describes a pilot randomized controlled trial designed to evaluate a novel digital anxiety intervention, the Attention Bias in Cancer survivors (ABCs) intervention, for adolescent and young adult cancer survivors.

methodsThis is a single-site, 2-arm, pilot randomized controlled trial enrolling 60 cancer survivors aged 15 to 29 years. Participants will be randomized 1:1 to the ABCs intervention or a sham control condition. The ABCs intervention combines an ABM mobile intervention with daily gratitude and savoring SMS text messages (positive psychology prompts to savor positive emotions) over a 4-week period. The sham condition consists of sham ABM (showing the same cancer-related word stimuli as the active intervention condition but without attention retraining) and daily mood monitoring SMS text messages (prompts to report on current mood and stress levels). The primary objectives are to evaluate intervention feasibility (defined as ≥50% enrollment and ≥70% retention) and acceptability (defined by cutoff scores on the Client Satisfaction Questionnaire and System Usability Scale). Secondary exploratory outcomes include patient-reported measures of attention bias, anxiety, fear of recurrence, pain, resilience, and other psychosocial outcomes.

resultsThis study was funded in August 2023, and study recruitment began in November 2024. We have completed data collection as of February 2026. We anticipate that data analyses will be completed by September 2026. Manuscript preparation and submission are anticipated for December 2026.

conclusionsThis pilot trial examines the feasibility and acceptability of a digital positive psychological intervention targeting anxiety in adolescent and young adult cancer survivors. Exploratory outcomes will inform sample size calculations for a future-powered multisite clinical trial. The ABCs intervention may provide scalable and accessible evidence-based psychosocial care and improve health outcomes.

trial registrationClinicalTrials.gov NCT06682039; https://clinicaltrials.gov/study/NCT06682039. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/82665.

Indexed as

Attentional BiasCancer SurvivorsAdolescentAdultAnxietyFemaleHumansMalePilot ProjectsRandomized Controlled Trials as TopicYoung Adultadolescentanxietyattention biascancer survivorsdigital healthmobile appspsychosocial impact of illnessrandomized controlled trialyoung adult

Identifiers

PMID41740148
PMCPMC12980062

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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.