Evidence map›Paper›PMID 35733219›Full record

ArticleAlzheimer's research & therapy2022

Anticipated reactions to learning Alzheimer's disease biomarker results.

Lindsay R Clark, Claire M Erickson, Erin M Jonaitis, Yue Ma, Nathaniel A Chin, Kristin Basche, Frederick B Ketchum, Carey E Gleason

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  3. Observational
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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

8 authors.

Lindsay R ClarkDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA. lrclark@medicine.wisc.edu.
Claire M EricksonNeuroscience & Public Policy Program, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Erin M JonaitisDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Yue MaDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Nathaniel A ChinDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Kristin BascheDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Frederick B KetchumDepartment of Neurology, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.
Carey E GleasonDivision of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, USA.

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sanjay Asthana · 2019 to 2026
$34.5M
Wisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8M
African Americans Fighting Alzheimer’s in Midlife (AA-FAIM)R01AG054059 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAREY E GLEASON · 2016 to 2026
$15.3M
Alzheimer's disease biomarker disclosure in African Americans and Whites – Personal and programmatic consequences of knowing ATN statusR03AG062975 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CLARK, LINDSAY RENEE · 2019 to 2020
$155k
NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG054059NIA NIH HHS R03 AG062975NIA NIH HHS RF1 AG027161
6 · The paper itself

Abstract

introductionWe developed the Alzheimer's Biomarker Survey to assess willingness to enroll in biomarker studies that disclose results and anticipated reactions to an elevated biomarker result.

methodsParticipants included cognitively unimpaired adults enrolled in longitudinal AD studies (n = 334, mean age = 64.8 ± 7.7, 44% non-Hispanic Black or African American). Exploratory and confirmatory factor analyses determined the latent structure comprising anticipated reactions to learning AD biomarker results. Measurement invariance was tested across racial groups.

resultsTwo models comprising behavior change and psychological impact fit well for the total sample and the two racial groups. The 2-factor behavior change model assessed constructs of planning and dementia risk-reduction. The 3-factor psychological impact model assessed constructs of distress, cognitive symptoms, and stigma. Both models exhibited measurement invariance across racial groups. DISCUSSION: The 28-item Anticipated Reactions to AD Biomarker Disclosure scale is a reliable and valid measure of anticipated reactions when communicating AD biomarker results to research participants.

Indexed as

Alzheimer DiseaseAdultAgedBiomarkersFactor Analysis, StatisticalHumansLongitudinal StudiesMiddle AgedSurveys and QuestionnairesBiomarkersBiomarker disclosurePreclinical Alzheimer’s diseasePsychometricsPsychosocialRisk communication

Identifiers

PMID35733219
PMCPMC9214979

What OpenQuestion holds

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LicenceCC BY
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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.