Evidence map›Paper›PMID 33033321›Full record

ArticleScientific reports2020

Disease progression modeling of Alzheimer's disease according to education level.

Ko Woon Kim, Sook Young Woo, Seonwoo Kim, Hyemin Jang, Yeshin Kim, Soo Hyun Cho, Si Eun Kim, Seung Joo Kim, Byoung-Soo Shin, Hee Jin Kim and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Ethnic differences in the prevalence of amyloid positivity and cognitive trajectories.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Article
  12. Dual-Task Tests Predict Conversion to Dementia-A Prospective Memory-Clinic-Based Cohort Study.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Article
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

12 authors.

Ko Woon Kim *Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Sook Young Woo *Statistics and Data Center, Samsung Medical Center, Seoul, South Korea.
Seonwoo KimStatistics and Data Center, Samsung Medical Center, Seoul, South Korea.
Hyemin JangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.ORCID http://orcid.org/0000-0003-3152-1274
Yeshin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Soo Hyun ChoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Si Eun KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Seung Joo KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Byoung-Soo ShinDepartment of Neurology, School of Medicine, Jeonbuk National University Hospital, Jeonju, South Korea.
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Duk L NaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, South Korea. sangwonseo@empal.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop a disease progression model of Alzheimer's disease (AD) that shows cognitive decline from subjective cognitive impairments (SCI) to the end stage of AD dementia (ADD) and to investigate the effect of education level on the whole disease spectrum, we enrolled 565 patients who were followed up more than three times and had a clinical dementia rating sum of boxes (CDR-SB). Three cohorts, SCI (n = 85), amnestic mild cognitive impairment (AMCI, n = 240), and ADD (n = 240), were overlapped in two consecutive cohorts (SCI and AMCI, AMCI and ADD) to construct a model of disease course, and a model with multiple single-cohorts was estimated using a mixed-effect model. To examine the effect of education level on disease progression, the disease progression model was developed with data from lower (≤ 12) and higher (> 12) education groups. Disease progression takes 274.3 months (22.9 years) to advance from 0 to 18 points using the CDR-SB. Based on our predictive equation, it takes 116.5 months to progress from SCI to AMCI and 56.2 months to progress from AMCI to ADD. The rate of CDR-SB progression was different according to education level. The lower-education group showed faster CDR-SB progression from SCI to AMCI compared to the higher-education group, and this trend disappeared from AMCI to ADD. In the present study, we developed a disease progression model of AD spectrum from SCI to the end stage of ADD. Our disease modeling provides us with more understanding of the effect of education on cognitive trajectories.

Indexed as

Educational StatusAgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionDisease ProgressionFemaleHumansMaleMiddle AgedModels, BiologicalNeuropsychological TestsRepublic of KoreaTime Factors

Identifiers

PMID33033321
PMCPMC7544693

What OpenQuestion holds

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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.