Evidence map›Paper›PMID 30176706›Full record

ArticlePsychiatry investigation2018

Pre-Mild Cognitive Impairment: Can Visual Memory Predict Who Rapidly Convert to Mild Cognitive Impairment?

Eun Hyun Seo, Hoowon Kim, Kyu Yeong Choi, Kun Ho Lee, Il Han Choo

Abstract read
In one paragraph

Article in Psychiatry investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Effects ofNutrients · 2022
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  2. American journal of Alzheimer's disease and other dementias
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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.

Eun Hyun SeoNational Research Center for Dementia, Gwangju, Republic of Korea.
Hoowon KimNational Research Center for Dementia, Gwangju, Republic of Korea.
Kyu Yeong ChoiNational Research Center for Dementia, Gwangju, Republic of Korea.
Kun Ho LeeNational Research Center for Dementia, Gwangju, Republic of Korea.
Il Han ChooNational Research Center for Dementia, Gwangju, Republic of Korea.

Funding

Ministry of EducationMinistry of Science, ICT and Future PlanningNational Research Foundation of Korea 2014M3C7A1046041National Research Foundation of Korea 2017R1D1A1B03028377
6 · The paper itself

Abstract

objectiveLittle is known about the natural course of pre-mild cognitive impairment (pre-MCI) and predictors to MCI. We followedup individuals with pre-MCI and cognitively normal (CN) elders to identify neuropsychological predictors for rapid conversion to MCI.

methodsSeventy-seven individuals with pre-MCI and 180 CN elders were recruited from the pool of individuals registered at the National Research Center for Dementia in Gwangju, Korea. We followed-up with them after a mean of 14±2.29 months. All participants underwent comprehensive clinical and neuropsychological assessment. Logistic regression analysis examined the ability of neuropsychological tests to predict conversions to MCI.

resultsOf 257 participants, 142 (55.3%) were eligible for the follow-up study (102 CN, 40 pre-MCI). Logistic regression revealed that spatial delayed recall significantly predicted the conversion from pre-MCI to MCI. In CN, copy for a complex figure significantly predicted the conversion to pre-MCI or MCI.

conclusionOur findings indicated that spatial delayed recall was associated with rapid conversion from pre-MCI to MCI. Spatial organization and planning, measured by complex figure reproduction, were associated with rapid conversion from CN to pre-MCI or MCI. Our study suggests that inclusion of visuospatial reproduction and memory using a complex figure further facilitates early detection of MCI.

Indexed as

Alzheimer diseaseEarly diagnosisMild cognitive impairmentPre-mild cognitive impairmentSpatial memory

Identifiers

PMID30176706
PMCPMC6166031

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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.