Evidence map›Paper›PMID 30862124›Full record

ArticleJournal of clinical medicine2019

Clinical and Biomarker Characteristics According to Clinical Spectrum of Alzheimer's Disease (AD) in the Validation Cohort of Korean Brain Aging Study for the Early Diagnosis and Prediction of AD.

Jihye Hwang, Jee Hyang Jeong, Soo Jin Yoon, Kyung Won Park, Eun-Joo Kim, Bora Yoon, Jae-Won Jang, Hee Jin Kim, Jin Yong Hong, Jong-Min Lee and 10 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Impact of amygdala functional connectivity on cognitive impairment in Alzheimer's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  11. Predicting cognitive stage transition using p-tau181, Centiloid, and other measures.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  12. Plasma βAlzheimer's research & therapy · 2023
    Article
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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

20 authors.

Jihye HwangDepartment of Neurology, Keimyung University Dongsan Medical Center, Daegu 41931, Korea. jh.hwang0110@gmail.com.ORCID 0000-0002-8736-6309
Jee Hyang JeongDepartment of Neurology, Ewha Womans University School of Medicine, Seoul 07985, Korea. jjeong@ewha.ac.kr.
Soo Jin YoonDepartment of Neurology, Eulji University School of Medicine, Daejeon 35233, Korea. trumind@eulji.ac.kr.
Kyung Won ParkDepartment of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan 49201, Korea. neuropark@dau.ac.kr.
Eun-Joo KimDepartment of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan 49241, Korea. eunjookim@pusan.ac.kr.
Bora YoonDepartment of Neurology, Konyang University College of Medicine, Daejeon 35365, Korea. boradori3@naver.com.
Jae-Won JangDepartment of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon 24289, Korea. light26@hanmail.net.
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea. evekhj.kim@samsung.com.
Jin Yong HongDepartment of Neurology, Yonsei University Wonju College of Medicine, Wonju 26426, Korea. jinyhong@yonsei.ac.kr.
Jong-Min LeeDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Korea. ljm@hanyang.ac.kr.
Hyuntae ParkDepartment of Health Care and Science, Dong-A University, Busan 49315, Korea. htpark@dau.ac.kr.
Ju-Hee KangDepartment of Pharmacology, Inha University School of Medicine, Incheon 22212, Korea. johykang@inha.ac.kr.ORCID 0000-0001-5235-8993
Yong-Ho ChoiDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Korea. chldydgh0128@hanyang.ac.kr.
Gilsoon ParkDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Korea. pks1207@hanyang.ac.kr.
Jinwoo HongDepartment of Biomedical Engineering, Hanyang University, Seoul 04763, Korea. jwhong1125@gmail.com.
Min Soo ByunInstitute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul 03080, Korea. bminsoo@gmail.com.
Dahyun YiInstitute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul 03080, Korea. dahyunyi@gmail.com.
Yu Kyeong KimDepartment of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea. yk3181@snu.ac.k.
Dong Young LeeDepartment of Neuropsychiatry, Seoul National University Hospital & Department of Seoul National University College of Medicine, Seoul 03080, Korea. selfpsy@snu.ac.kr.
Seong Hye ChoiDepartment of Neurology, Inha University School of Medicine, Incheon 22332, Korea. seonghye@inha.ac.kr.

Funding

Korea Health Industry Development Institute HI18C0479National Research Foundation of Korea NRF-2014M3C7A1064752National Research Foundation of Korea NRF-2018M3A9F1023697
6 · The paper itself

Abstract

We aimed to present the study design of an independent validation cohort from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's disease (AD) (KBASE-V) and to investigate the baseline characteristics of the participants according to the AD clinical spectrum. We recruited 71 cognitively normal (CN) participants, 96 with subjective cognitive decline (SCD), 72 with mild cognitive impairment (MCI), and 56 with AD dementia (ADD). The participants are followed for three years. The Consortium to Establish a Registry for AD scores was significantly different between all of the groups. The logical memory delayed recall scores were significantly different between all groups, except between the MCI and ADD groups. The Mini-Mental State Examination score, hippocampal volume, and cerebrospinal fluid (CSF) amyloid-β42 level were significant difference among the SCD, MCI, and ADD groups. The frequencies of participants with amyloid pathology according to PET or CSF studies were 8.9%, 25.6%, 48.3%, and 90.0% in the CN, SCD, MCI, and ADD groups, respectively. According to ATN classification, A+/T+/N+ or A+/T+/N- was observed in 0%, 15.5%, 31.0%, and 78.3% in the CN, SCD, MCI, and ADD groups, respectively. The KBASE-V showed a clear difference according to the AD clinical spectrum in neuropsychological tests and AD biomarkers.

Indexed as

Alzheimer’s diseasebiomarkerscohort studymild cognitive impairmentsubjective cognitive decline

Identifiers

PMID30862124
PMCPMC6463169

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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.