Evidence map›Paper›PMID 40786525›Full record

ArticleJournal of Alzheimer's disease reports

Executive functioning and processing speed as predictors of global cognitive decline in Alzheimer's disease.

John P Haran, A M Barrett, YuShuan Lai, Samuel N Odjidja, Protiva Dutta, Patrick M McGrath, Imane Samari, Lethycia Romeiro, Abigail Lopes, Vanni Bucci and 1 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

John P HaranDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.ORCID https://orcid.org/0000-0001-7311-1121
A M BarrettDepartment of Neurology, UMass Chan Medical School and UMass Memorial Healthcare, Worcester, MA, USA.
YuShuan LaiDepartment of Microbiology, University of Massachusetts Medical School, Worcester, MA, USA.
Samuel N OdjidjaDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Protiva DuttaDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Patrick M McGrathDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Imane SamariDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Lethycia RomeiroDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Abigail LopesDepartment of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Vanni BucciDepartment of Microbiology, University of Massachusetts Medical School, Worcester, MA, USA.
Beth A McCormickDepartment of Microbiology, University of Massachusetts Medical School, Worcester, MA, USA.

Funding

Understanding the Microbiome-gut-brain axisn Alzheimer disease and its Role in Cognitive DeclineR01AG067483 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI John Patrick Haran · 2024 to 2026
$1.8M
Medication self-administration (MSA) and awareness of MSA: life-relevant markers of cognitive impairmentR56AG091682 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BARRETT, A. M., LIN, HONGHUANG · 2025 to 2025
$643k
NIA NIH HHS R01 AG067483NIA NIH HHS R56 AG091682
6 · The paper itself

Abstract

Background: Better cognitive tools to predict disease progression in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are needed. Objective: In this prospective longitudinal cohort, we are testing if changes in the cognitive domains of executive functioning and processing speed can predict global cognitive decline. Methods: We assessed patients with MCI, AD, and cognitively healthy controls (cHC) using NIH toolbox assessments for processing speed and executive functioning and overall cognitive decline by the Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog). Results: Among 184 participants over a median follow-up of 540 days, both between- and within-subjects variance in NIH toolbox and ADAS-Cog assessments increased from cHC to MCI to AD patients. Among patients with AD (n = 24), pattern comparison processing speed (PCPS) and dimensional change card sort tests (DCCS) declined at 3 and 6 months prior to global cognitive decline (p = 0.008 and 0.0012). A 5-point decrease in either PCPS or DCCS increased risk of global cognitive decline (HR 1.32 (1.08-1.60) and 1.62 (1.16-2.26)). Conclusions: Testing for cognitive domains of processing speed and executive functioning may predict subsequent global cognitive.

Indexed as

Alzheimer's diseaseAlzheimer's disease assessment scale-cognitivecognitive testingmild cognitive impairmentNIH toolbox

Identifiers

PMID40786525
PMCPMC12332253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.