Evidence map›Paper›PMID 40123639›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Influence of cognitive, neuropsychiatric, and diagnostic factors on financial capacity: A longitudinal analysis of the ADNI cohort.

Milap A Nowrangi, Jeannie Marie Leoutsakos, Haijuan Yan, Arnold Bakker, Kevin J Manning, George W Rebok, Paul B Rosenberg, Vidyulata Kamath

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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. Cognitive screening biases in a secondary prevention Alzheimer's disease clinical trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. 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

8 authors.

Milap A NowrangiDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Jeannie Marie LeoutsakosDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Haijuan YanDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Arnold BakkerDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Kevin J ManningDepartment of Psychiatry University of Connecticut School of Medicine Farmington Connecticut USA.
George W RebokDepartment of Mental Health Johns Hopkins University Baltimore Maryland USA.
Paul B RosenbergDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Vidyulata KamathDepartment of Psychiatry and Behavioral Sciences The Johns Hopkins University School of Medicine Baltimore Maryland USA.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI PAUL F WORLEY · 2020 to 2026
$29.3M
Neural Network Connectivity of Financial Capacity in Mild Cognitive ImpairmentK23AG055626 · NIA · JOHNS HOPKINS UNIVERSITY · PI NOWRANGI, MILAP A · 2017 to 2022
$1.1M
NIA NIH HHS K23 AG055626NIA NIH HHS P30 AG066507
6 · The paper itself

Abstract

Introduction: Financial capacity (FC) is the ability to independently manage finances in a manner consistent with one's self-interest. To investigate the relationship between FC, cognitive domains, neuropsychiatric symptoms, and transitions from normal cognition (cognitive normal [CN]) to mild cognitive impairment (MCI) or Alzheimer's disease (AD), we conducted a secondary analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort using the Financial Capacity Instrument short form (FCI-SF). Methods: To examine these longitudinal relationships, we fit two models, a random effects (random intercept) "time-averaged" model and a "time since previous visit" model, where we regressed each of the five component financial scores on each of the cognitive composite scores. To examine the effect of baseline FCI-SF performance on conversion rates from normal to MCI or AD, we computed a survival model. Results: A total of 874 participants (diagnostic group, Discussion: There is a multifaceted interaction between poorer cognition and everyday financial function where executive function, memory, and visuospatial cognition are related to FC. The strongest predictor of conversion from normal to either MCI or AD, appears to be time to completion. Highlights: Decline in financial capacity (FC) is observed during transition to dementia and increases the risk of negative outcomes.Executive function, memory, and visuospatial cognition are related to FC.The strongest predictor of conversion from normal to either mild cognitive impairment (MCI) or Alzheimer's disease (AD) is time to completion or processing speed.

Indexed as

cognitiondepressionfinancial capacity

Identifiers

PMID40123639
PMCPMC11926251

What OpenQuestion 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 OpenQuestion graph.