Evidence map›Paper›PMID 42282181›Full record

ArticlemedRxiv : the preprint server for health sciences2026

The BEYONDD Pilot Study: A Decentralized Community-Engaged Research Framework for Multimodal Characterization of Neurodegenerative Risk in a Multi-Ethnic, Midlife Cohort with Subjective Cognitive or Behavioral Complaints.

Monica Rivera-Mindt, Micah J Savin, Vanessa Guzman, Alyssa Arentoft, Eden V Barragan, Stephen Cubbellotti, Hilary W Heuer, Kaori Kubo Germano, Howie Rosen, Se Jun Cho and 15 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

25 authors.

Monica Rivera-MindtDepartment of Psychology, Fordham University, New York, NY, USA.
Micah J SavinDepartment of Psychology, Fordham University, New York, NY, USA.
Vanessa GuzmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alyssa ArentoftDepartment of Psychology, California State University, Northridge, Los Angeles, CA, USA.
Eden V BarraganEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Stephen CubbellottiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hilary W HeuerEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Kaori Kubo GermanoDepartment of Psychology, Fordham University, New York, NY, USA.
Howie RosenEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Se Jun ChoDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Michelle HigueraDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Melissa SoteloEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Chanel RamirezDepartment of Psychology, Fordham University, New York, NY, USA.
Julia E CulhaneDepartment of Psychology, Fordham University, New York, NY, USA.
Andrew MargolisDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Alexander SlaughterDepartment of Psychology, Fordham University, New York, NY, USA.
Amanda CalcetasDepartment of Psychology, Fordham University, New York, NY, USA.
Sandra TalaveraDepartment of Psychology, Fordham University, New York, NY, USA.
Kristen VincaludoDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joseph DiBenedettoDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Omobolanle AyoDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Heining ChamDepartment of Psychology, Fordham University, New York, NY, USA.
Gil D RabinoviciEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Adam L BoxerEdward and Pearl Fein Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Desirée A ByrdDepartment of Psychology, Queens College, City University of New York, Queens, NY, USA.

Funding

Biomarker Evaluation in Young Onset Dementia from Diverse Populations (BEYONDD)R56AG075744 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L., BYRD, DESIREE A · 2022 to 2022
$6.1M
NIA NIH HHS R56 AG075744
6 · The paper itself

Abstract

Introduction: Alzheimer's disease and related dementias (AD/ADRD) pathology begin decades before diagnosis, yet scalable risk detection infrastructures for midlife adults remain limited. The Methods: This cross-sectional pilot assessed the feasibility of CER-based digital recruitment and participant completion of remotely-acquired screening, cognitive, clinical, and phlebotomy assessments with support of Community Research Navigators (CRNs). Feasibility was evaluated using digital recruitment metrics, yield, retention, and geographic reach. Results: Our approach generated 1.8+ million advertisement impressions, 161,100 clicks, and 4,089 web-registrants. 2,117 individuals completed the online screener, exceeding the prespecified screening goal by 141%. We enrolled a multi-ethnic, midlife cohort of 579 participants ( Discussion: BEYONDD's decentralized, CER-based screening infrastructure demonstrated wide geographic reach, strong early-stage engagement, and efficient recruitment among diverse midlife adults. These findings support the feasibility of scalable CER-based digital recruitment for decentralized early detection initiatives and AD/ADRD trials.

Identifiers

PMID42282181
PMCPMC13252492

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.