Evidence map›Paper›PMID 40839870›Full record

ArticleJournal of participatory medicine2025

Engagement Methods in Brain Tumor Genomic Research: Multimethod Comparative Study.

Matthew DeCamp, Juliana G Barnard, Carly Ritger, Laura J Helmkamp, Anowara Begum, Sandra Garcia-Hernandez, Rudy Fischmann, Nestelynn Gay, Ricardo Gonzalez-Fisher, Kevin C Johnson and 10 more

Abstract read
In one paragraph

Article in Journal of participatory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

20 authors.

Matthew DeCampCenter for Bioethics & Humanities, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-9371-8729
Juliana G BarnardAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-7814-9401
Carly RitgerAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0009-0005-1463-0470
Laura J HelmkampAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-1117-8061
Anowara BegumAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-9915-3311
Sandra Garcia-HernandezAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0009-0009-3210-1491
Rudy FischmannLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0009-0001-6294-9196
Nestelynn GayLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0009-0002-2480-0451
Ricardo Gonzalez-FisherLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-6987-4062
Kevin C JohnsonLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-0016-5158
Lindsay A LennoxDepartment of Emergency Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0009-0007-8954-749X
Guy R LipofLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0009-0005-1714-6465
Jasmyn OstmeyerLow Grade Glioma Registry Research Advisory Council, New Haven, CT, United States.ORCID https://orcid.org/0009-0002-9749-0861
Ifeoma PerkinsCenter for Bioethics & Humanities, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-9276-374X
Laura PyleDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-5577-8221
Liz SalmiDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID https://orcid.org/0000-0003-3798-7438
Talia ThompsonAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0001-6512-9743
Elizabeth B ClausSchool of Public Health, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0001-9867-8124
Roel VerhaakDepartment of Neurosurgery, School of Medicine, Yale University, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-2773-0436
Bethany M KwanAdult & Child Center for Outcomes Research & Delivery Science, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID https://orcid.org/0000-0002-4013-5618

Funding

Participant Engagement UnitU2CCA252979 · NCI · YALE UNIVERSITY · PI Bethany Matthews Kwan, Roel GW Verhaak · 2021 to 2026
$15.5M
NCI NIH HHS U2C CA252979
6 · The paper itself

Abstract

backgroundEngaging patients, care partners, and others in research planning and conduct is increasingly valued. However, identifying the most effective ways to do so remains a challenge.

objectiveThis study aimed to evaluate participation and participant experience using 3 engagement methods with the Low-Grade Glioma (LGG) Registry's Optimizing Engagement in Discovery of Molecular Evolution of Low-Grade Glioma (OPTIMUM) project, part of the National Cancer Institute's Participant Engagement and Cancer Genome Sequencing Network.

methodsWe evaluated LGG Registry research advisory council (RAC) meetings, Twitter (now known as X), and Facebook discussions across 4 engagement activities with each group. Researchers recorded discussions and performed qualitative content analysis to evaluate differences in the nature of interactions and recommendations for promoting trust and participation in LGG Registry research. Participants completed experience surveys after engagements 1 and 4 (Public and Patient Engagement Evaluation Tool, Research Engagement Survey Tool, Trust in Medical Researchers Scale, and Patient Engagement in Research Scale).

resultsRAC engagements involved 25 unique participants representing diverse backgrounds; tweet chats and Facebook discussions had 197 and 133 participants, respectively. Qualitative findings highlighted differences in the nature of interactions (eg, communication styles and types of information shared) across groups, but there was general agreement around recommendations for promoting participation in genomic research. Postengagement surveys (n=52 in ipostengagement activity 1; n=40 in postengagement activity 4) showed patterns suggesting a more positive experience overall for the RAC.

conclusionsAdvisory councils and social media engagement methods have advantages and disadvantages. Advisory councils provide consistent interactions with the same individuals and clear procedures. Despite theoretically broader reach, social media engagement may yield less diverse perspectives. The LGG Registry aims to use RAC and social media engagement methods to promote diverse perspectives and maintain consistent interactions.

Indexed as

brain cancerbrain tumorengagementlow-grade gliomaresearch advisory councilsocial media

Identifiers

PMID40839870
PMCPMC12411796

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.