Evidence map›Paper›PMID 30125290›Full record

ArticlePloS one2018

A 'Comprehensive Visual Rating Scale' for predicting progression to dementia in patients with mild cognitive impairment.

Jae-Won Jang, Jeong Hoon Park, Seongheon Kim, Young Ho Park, Jung-Min Pyun, Jae-Sung Lim, Youngho Kim, Young Chul Youn, SangYun Kim, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
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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

10 authors.

Jae-Won JangDepartment of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.ORCID 0000-0003-3540-530X
Jeong Hoon ParkDepartment of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.
Seongheon KimDepartment of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea.ORCID 0000-0002-4253-7522
Young Ho ParkDepartment of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jung-Min PyunDepartment of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Jae-Sung LimDepartment of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea.
Youngho KimDepartment of Biomedical Engineering, Seoul National University Hospital, Seoul, Republic of Korea.
Young Chul YounDepartment of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
SangYun KimDepartment of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundNumerous efforts have been made to identify biomarkers for predicting the progression of dementia in patients with mild cognitive impairment (MCI), and recently, a comprehensive visual rating scale (CVRS) based on magnetic resonance imaging (MRI) has been validated to assess structural changes in the brain of elderly patients. Based on this, the present study investigated the use of CVRS for predicting dementia and elucidated its association with cognitive change in patients with MCI over a three-year follow-up.

methodsWe included 340 patients with MCI with more than one follow-up visit. Data were obtained from the Alzheimer's disease Neuroimaging Initiative study. We assessed all the patients using CVRS and determined their progression to dementia during a follow-up period of over 3 years. The cox proportional hazards model was used to analyze hazard ratios (HRs) of CVRS for disease progression. Further, multiple cognitive measures of the patients over time were fitted using the random effect model to assess the effect of initial CVRS score on subsequent cognitive changes.

resultsOf 340 patients, 69 (20.2%) progressed to dementia and the median baseline score (interquartile range) of CVRS significantly differed between stable MCI and progressive MCI (9 (5-13) vs 13 (8-17), p<0.001). The initial CVRS score was independently associated with an increased risk of progression to dementia (HR 1.123, 95% confidence interval [CI] 1.059-1.192). From 12 to 24 months, the effect of the interaction between CVRS and interval of follow-up visit on cognitive performance achieved significance (p<0.001).

conclusionsBaseline CVRS predicted the progression to dementia in patients with MCI, and was independently associated with longitudinal cognitive decline.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesApolipoproteins EAtrophyBrainCerebrovascular DisordersCognitive DysfunctionDisease ProgressionFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleAmyloid beta-PeptidesApolipoproteins E

Identifiers

PMID30125290
PMCPMC6101367

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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.