Evidence map›Paper›PMID 38374734›Full record

ArticleThe journal of prevention of Alzheimer's disease2024

Alzheimer's Disease Biomarker Decision-Making among Patients with Mild Cognitive Impairment and Their Care Partners.

C G Cox, C R Salazar, A I Birnbaum, M Witbracht, S P Tam, G T Thai, S A Sajjadi, D L Gillen, J D Grill

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Counseling and disclosure practices in predictive Alzheimer's disease diagnostics: A scoping review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  3. The utility of recruitment incentives in early Alzheimer's disease trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  4. 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

9 authors.

C G CoxChelsea G. Cox, Department of Health Behavior and Health Education, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109-2029, USA, email: chelseak@umich.edu.
C R Salazar
A I Birnbaum
M Witbracht
S P Tam
G T Thai
S A Sajjadi
D L Gillen
J D Grill

Funding

The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Joshua Grill · 2020 to 2026
$27.9M
Improving Hispanic/Latino participation in preclinical Alzheimers disease TrialsK01AG076811 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christian R Salazar · 2022 to 2026
$681k
NIA NIH HHS K01 AG076811NIA NIH HHS P30 AG066519
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) biomarker tests can be ordered as part of the diagnostic workup of patients with mild cognitive impairment (MCI). Little is known about how patients with MCI and their care partners decide whether to pursue testing.

objectiveTo examine factors that influence AD biomarker testing decisions among patients with MCI and their care partners.

designWe performed structured research interviews with patients with MCI and their study partners to assess the importance of eight factors in the decision whether to undergo AD biomarker testing (6-point Likert scale; 1-extremely unimportant to 6-extremely important): cost, fear of testing procedures, learning if AD is the cause of cognitive problems, concern about health insurance, instructing future planning, informing treatment decisions, family members' opinions, and doctor recommendation.

settingTwo researchers administered interviews with participants in-person (i.e., participant home, research center) or remotely (i.e., telephone, video-conference).

participantsWe completed interviews with 65 patients with a diagnosis of MCI and 57 study partners, referred by dementia specialist clinicians from the University of California, Irvine health system. MEASUREMENTS: We used generalized estimating equations (GEE) to examine the mean importance of each factor among patients and study partners, and the mean difference in importance of each factor within dyads.

resultsOne third of participants reported the patient had previously undergone AD biomarker testing. Fifty-five percent of patients and 65% of study partners who reported no previous testing indicated a desire for the patient to be tested. GEE analyses found that patients and study partners rated the following factors with highest importance: informing treatment decisions (mean score 5.29, 95% CI: 5.06, 5.52 for patients; mean score 5.56, 95% CI: 5.41, 5.72 for partners); doctor recommendation (4.94, 95% CI: 4.73, 5.15 for patients; 5.16, 95% CI: 4.97, 5.34 for partners); and instructing future planning (4.88, 95% CI: 4.59, 5.16 for patients; 5.11, 95% CI: 4.86, 5.35 for partners). High dyadic agreement was observed for all factors except fear of testing, which patients rated with lower importance than their study partners.

conclusionsBiomarker testing for AD in patients with MCI is a rapidly evolving practice and limited data exist on patient perspectives. In this study, most patients and their care partners were interested in testing to help inform treatment decisions and to plan for the future. Participants placed high importance on clinician recommendations for biomarker testing, highlighting the need for clear communication and education on the options, limitations, risks, and benefits of testing.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBiomarkersCaregiversDisease ProgressionHumansBiomarkersAlzheimer’s diseasebiomarkersmild cognitive impairment

Identifiers

PMID38374734
PMCPMC12186707

What OpenQuestion holds

Textmetadata
LicenceTDM
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.