Evidence map›Paper›PMID 37545108›Full record

ArticleAnnals of clinical and translational neurology2023

Cognitive determinants of decisional capacity in neurodegenerative disorders.

Makayla Portley, Carolyn Sherer, Tianxia Wu, Jennifer Farren, Laura E Danielian, Sonja W Scholz, Bryan J Traynor, Michael E Ward, Taryn Haselhuhn, Allison Snyder and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2023. 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
0.6field-weighted citation impact, top 30% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
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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

11 authors at 1 institution in 1 country.

Makayla PortleyNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Carolyn ShererNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Tianxia WuNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Jennifer FarrenNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Laura E DanielianNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Sonja W ScholzNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-6623-0429
Bryan J TraynorNational Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Michael E WardNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Taryn HaselhuhnNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Allison SnyderNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Justin Y KwanNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-1558-4451
National Institutes of Health · US

Funding

Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
MIDCAREER AWARD IN PATIENT ORIENTED RESEARCH ON AGINGK24AG000949 · NIA · YALE UNIVERSITY · PI INOUYE, SHARON K. · 1999 to 2009
$1.4M
Intramural NIH HHS Z01 AG000949NIA NIH HHS K24 AG000949
6 · The paper itself

Abstract

objectiveCognitive contributions to decisional capacity are complex and not well understood. Capacity to consent for research has been linked to executive function, but executive function assessment tools are imperfect. In this study, we examine the relationship between decisional capacity and a newly developed executive function composite score and determine whether cognitive performance can predict impaired decisional capacity.

methodsThis is a cross sectional study of participants at the National Institutes of Health with frontotemporal dementia-amyotrophic lateral sclerosis spectrum disorders enrolled between 2017 and 2022. A structured interview tool was used to ascertain research decisional capacity. Study participant Uniform Data Set (v3.0) executive function (UDS3-EF) composite score, Clinical Dementia Rating Scale©, and Neuropsychiatric Inventory was determined.

resultsA decrease in UDS3-EF composite score significantly increased the odds of impaired decisional capacity (OR = 2.92, 95% CI [1.66-5.13], p = 0.0002). Executive function was most impaired in frontotemporal dementia (-2.86, SD = 1.26) and least impaired in amyotrophic lateral sclerosis (-0.52, SD = 1.25) participants. The UDS3-EF composite score was also strongly correlated to the Clinical Dementia Rating Scale©.

interpretationDecisional capacity is intrinsically related to executive function in neurodegenerative disorders, and executive dysfunction may predict a lack of decisional capacity alerting investigators of the need for additional scrutiny during the informed consent process.

Indexed as

Frontotemporal DementiaMental CompetencyCognitionCross-Sectional StudiesHumansInformed ConsentUnited States

Identifiers

PMID37545108
PMCPMC10578892
OpenAlexW4385619991

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.