Evidence map›Paper›PMID 29795795›Full record

ArticleInnovation in aging2018

Assessing Dependency in a Multiethnic Community Cohort of Individuals With Alzheimer's Disease.

Maria Meinerding, Brittany DeFeis, Preeti Sunderaraman, Martina Azar, Siobhan Lawless, Carlos Perez-Vivaldo, Yian Gu, Yaakov Stern, Stephanie Cosentino

Open access · goldAbstract read
In one paragraph

Article in Innovation in aging, 2018. 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
1.0field-weighted citation impact, top 25% of its field
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, 10 citations in OpenAlex.

  1. Article
  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

9 authors at 1 institution in 1 country.

Maria MeinerdingCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Brittany DeFeisCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Preeti SunderaramanCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Martina AzarCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Siobhan LawlessCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Carlos Perez-VivaldoCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Yian GuCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Stephanie CosentinoCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, New York.
Columbia University Irving Medical Center · US

Funding

PREDICTORS OF SEVERITY IN ALZHEIMERS DISEASER01AG007370 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STERN, YAAKOV · 1989 to 2021
$16.6M
NIA NIH HHS R01 AG007370
6 · The paper itself

Abstract

BACKGROUND AND

objectivesClinic-based studies of patients with Alzheimer's disease (AD) have demonstrated the value of assessing dependence when characterizing patients' functional status. The Dependence Scale, a validated tool to assess level of caregiving needs, is associated with markers of disease severity, cost, and progression, while offering independent functional information about patients. This study examines whether such associations between the Dependence Scale and markers of disease severity demonstrated in clinical cohorts are similarly exhibited in a multiethnic community population of individuals with AD. RESEARCH DESIGN AND

methodsOne hundred fifty four elders with AD enrolled in the Predictors 3 cohort were assessed with the Dependence Scale, modified Mini-Mental State Examination (mMMS), instrumental (IADL) and basic (BADL) activities of daily living, and Clinical Dementia Rating (CDR) Scale, and were assigned an Equivalent Institutional Care (EIC) rating. Cross-sectional associations were examined using bivariate correlations and one-way analysis of variance analyses. Fisher-z tests examined differences in strengths of associations across previous clinic and current community cohorts.

resultsDependence Scale scores were associated with CDR ( DISCUSSION AND IMPLICATIONS: Associations between the Dependence Scale and markers of disease severity in a clinic-based cohort of AD patients are similar to associations in a multiethnic community cohort of individuals diagnosed with AD. The Dependence Scale relates to markers of disease severity rather than demographic factors, and may offer an unbiased assessment of care required in multiethnic and community populations.

Indexed as

Alzheimer’s diseaseCaregivingCross-cultural issuesDementiaDependence

Identifiers

PMID29795795
PMCPMC5954614
OpenAlexW2799767330

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.