Evidence map›Paper›PMID 39574871›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Executive Functioning and Processing Speed as Predictors of Global Cognitive Decline in Alzheimer 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 readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

A M Barrett
YuShuan Lai
Samuel N Odjidja
Protiva Dutta
Patrick M McGrath
Imane Samari
Lethycia Romeiro
Abigail Lopes
Vanni Bucci
Beth A McCormick

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is a lack of cognitive tools to predict disease progression in mild cognitive impairment (MCI) and Alzheimer's disease (AD).

methodsWe assessed patients with MCI, AD, and cognitively healthy controls (cHC) using NIH toolbox assessments for attention/concentration and executive functioning and overall cognitive decline by the Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog).

resultsAmong 183 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, 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 & 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)). DISCUSSION: Testing for cognitive domains of attention/concentration and executive functioning may predict subsequent global cognitive, and functional decline.

Identifiers

PMID39574871
PMCPMC11581065

What Socratic holds

Textmetadata
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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 Socratic graph.