Evidence map›Paper›PMID 29188578›Full record

ArticleAging clinical and experimental research2018

Trajectory and variability characterization of the Montreal cognitive assessment in older adults.

Michael Malek-Ahmadi, Kathy O'Connor, Sharon Schofield, David W Coon, Edward Zamrini

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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  8. Article
  9. A Perspective: Challenges in Dementia Research.Medicina (Kaunas, Lithuania) · 2022
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  16. Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.Current physical medicine and rehabilitation reports · 2020
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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

5 authors.

Michael Malek-AhmadiBanner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, USA. michael.malekahmadi@bannerhealth.com.ORCID http://orcid.org/0000-0001-9901-3650
Kathy O'ConnorBanner Sun Health Research Institute, Center for Healthy Aging, Sun City, AZ, USA.
Sharon SchofieldBanner Sun Health Research Institute, Center for Healthy Aging, Sun City, AZ, USA.
David W CoonCollege of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Edward ZamriniBanner Sun Health Research Institute, Center for Healthy Aging, Sun City, AZ, USA.

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
NIA NIH HHS P30 AG019610
6 · The paper itself

Abstract

backgroundThe Montreal cognitive assessment (MoCA) has become one of the most widely used cognitive screening instruments since its initial publication. To date, only a handful of studies have explored longitudinal characteristics of the MoCA.

aimThe aim of this study is to characterize the trajectory of MoCA performance across a broad age continuum of older adults.

methodsData from 467 cognitively normal participants were used in this analysis. The sample was grouped into four strata based on the participants' age at baseline (60-69, 70-79, 80-89, and 90-99). Mixed model repeated measures (MMRM) analysis and mixed-effects spline models were used to characterize the trajectory of MoCA scores in each age stratum and in the entire sample. Intrasubject standard deviation (ISD) was used to characterize the natural variability of individual MoCA performance over time.

resultsThe ISD values for each of the age strata indicated that year-to-year individual variation on the MoCA ranged from zero to three points. MMRM analysis showed that the 60-69 stratum remained relatively stable over time while the 70-79 and 80-89 strata both showed notable decline relative to baseline performance. The mixed-effects spline model showed that MoCA performance declines linearly across the older adult age span. DISCUSSION: Among cognitively normal older adults MoCA performance remains relatively stable over time, however across the older adult age-span MoCA performance declines in a linear fashion. These results will help clinicians better understand the normal course of MoCA change in older adults while researchers may use these results to inform sample size estimates for intervention studies.

conclusionThis study provides an enhanced view of the MoCA's intraindividual trajectory in normal elderly aged 60 and older.

Indexed as

AgedAged, 80 and overCognitionCognitive DysfunctionFemaleHumansMaleMental Status and Dementia TestsMiddle AgedNeuropsychological TestsAge-associated cognitive declineAge-associated memory impairmentCognitionCognitive variabilityIntraindividual change

Identifiers

PMID29188578
PMCPMC6527334

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Registered trials

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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.