Evidence map›Paper›PMID 39086735›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Comparing research attitudes in Down syndrome and non-Down syndrome research decision-makers.

Thuy V Lu, Paola Campos, Sean Leader, Xavier Lee, Helena Xu, Eric Doran, Joshua D Grill, Ira T Lott

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). 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. Alzheimer's Disease Research Center Down Syndrome Cores: Experience from two sites.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  2. Article
  3. 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

8 authors.

Thuy V LuDepartment of Statistics University of California, Irvine Irvine California USA.
Paola CamposDepartment of Mathematics California State University, Stanislaus Turlock California USA.
Sean LeaderDepartment of Statistics Cal Poly, San Luis Obispo San Luis Obispo California USA.
Xavier LeeDepartment of Statistics University of Washington Seattle Washington USA.
Helena XuDepartment of Statistics and Data Science University of California Los Angeles California USA.
Eric DoranInstitute for Memory Impairments and Neurological Disorders University of California, Irvine Irvine California USA.
Joshua D GrillInstitute for Memory Impairments and Neurological Disorders University of California, Irvine Irvine California USA.
Ira T LottInstitute for Memory Impairments and Neurological Disorders University of California, Irvine Irvine California USA.

Funding

UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI YASSA, MICHAEL A · 2000 to 2019
$37.0M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mathew Mark Blurton-Jones · 2020 to 2026
$27.9M
Training in the Neurobiology of Aging and Alzheimers DiseaseT32AG000096 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI VIVEK SWARUP, Craig E Stark · 1985 to 2026
$9.6M
Recruiting and retaining participants from disadvantaged neighborhoods in registriesR01AG077628 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Daniel L Gillen, Joshua Grill · 2022 to 2026
$3.7M
Effects of Alzheimers Disease Clinical Trial Study Partners-Diversity SupplementRF1AG059407 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI GILLEN, DANIEL L, GRILL, JOSHUA · 2018 to 2019
$1.6M
Irvine Summer Institute in Biostatistics and Data ScienceR25AI170491 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mine Dogucu, Daniel L Gillen · 2022 to 2026
$1.2M
NCATS NIH HHS UL1 TR001414NIAID NIH HHS R25 AI170491NIA NIH HHS P30 AG066519NIA NIH HHS P50 AG016573NIA NIH HHS R01 AG077628NIA NIH HHS RF1 AG059407NIA NIH HHS T32 AG000096
6 · The paper itself

Abstract

introductionRecruitment challenges in people with and without Down syndrome (DS) can delay research progress and risk sample bias. This study identified and quantified differences in research attitudes across populations of research enrollment decision-makers for individuals with and without DS.

methodsWe performed analyses using data from two registries: the University of California, Irvine Consent-to-Contact (C2C) Registry and DS-Connect. The former represented a sample of non-DS decision-makers (

resultsMean total RAQ scores were not statistically different between decision-makers in the two registries, after adjusting for age, sex, race and ethnicity, education, and the coronavirus disease 2019 (COVID-19) time frame (Est. Diff = 0.11, 95% confidence interval [CI]: -0.22, 0.43; DISCUSSION: Our findings provide insights for researchers to develop strategies for recruiting individuals with and without DS into clinical research. The observed item-level differences warrant further investigation to instruct precise recruitment strategies. Highlights: Research attitudes between decision-makers for individuals with Down syndrome (DS) and decision-makers without DS were observed to be similar on average.Item-level differences in research attitudes were observed to differ for DS and non-DS decision-makers.These results can help facilitate precise recruitment strategies for populations with DS.

Indexed as

clinical trialsDown syndromeresearch attitudesResearch Attitudes Questionnaireresearch registry

Identifiers

PMID39086735
PMCPMC11289724

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.