Evidence map›Paper›PMID 31258101›Full record

ArticleInternational psychogeriatrics2020

Verbal fluency as a screening tool for mild cognitive impairment.

Michelle McDonnell, Lauren Dill, Stella Panos, Stacy Amano, Warren Brown, Shadee Giurgius, Gary Small, Karen Miller

Abstract read
In one paragraph

Article in International psychogeriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michelle McDonnellLoma Linda VA Healthcare System, Loma Linda, CA, USA.ORCID 0000-0001-6811-8708
Lauren DillVA Long Beach Healthcare System, Long Beach, CA, USA.
Stella PanosUCLA Longevity Center, Los Angeles, CA, USA.
Stacy AmanoFuller Graduate School of Psychology, Pasadena, CA, USA.
Warren BrownFuller Graduate School of Psychology, Pasadena, CA, USA.
Shadee GiurgiusAdult & Geriatric Psychiatry in La Mirada, La Mirada, CA, USA.
Gary SmallUCLA Longevity Center, Los Angeles, CA, USA.
Karen MillerUCLA Longevity Center, Los Angeles, CA, USA.

Funding

VISUALIZING BRAIN A-BETA, TAU /SEROTONIN RECEPTOR DENSITP01AG025831 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALL, GARY WILLIAM · 2005 to 2010
$7.0M
NIA NIH HHS P01 AG025831
6 · The paper itself

Abstract

objectivesThe goal of this study was to evaluate the ability of semantic (animal naming) and phonemic (FAS) fluency in their ability to discriminate between normal aging, amnestic-Mild Cognitive Impairment (a-MCI), and Alzheimer's disease (AD).

designWe used binary logistic regressions, multinomial regressions, and discriminant analysis to evaluate the predictive value of semantic and phonemic fluency in regards to specific diagnostic classifications.

settingOutpatient geriatric neuropsychology clinic.

participants232 participants (normal aging = 99, a-MCI = 90, AD = 43; mean age = 65.75 years). MEASUREMENTS: Mini-mental State Examination (MMSE), Controlled Oral Word Association Test.

resultsResults indicate that semantic and phonemic fluency were significant predictors of diagnostic classification, and semantic fluency explained a greater amount of the discriminant ability of the model.

conclusionsThese results suggest that verbal fluency, particularly semantic fluency, may be an accurate and efficient tool in screening for early dementia in time-limited medical settings.

Indexed as

AgingSemanticsVerbal BehaviorAgedAged, 80 and overAmnesiaCognitive DysfunctionDementiaHumansMaleMass ScreeningAlzheimer’s diseasedementiamild cognitive impairmentscreening

Identifiers

PMID31258101
PMCPMC9153280

What OpenQuestion holds

Textmetadata
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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.