Evidence map›Paper›PMID 29971973›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2018

Age-Specific Cutoff Scores on a T1-Weighted Axial Medial Temporal-Lobe Atrophy Visual Rating Scale in Alzheimer's Disease Using Clinical Research Center for Dementia of South Korea Data.

Gyeong Seon Choi, Geon Ha Kim, Ji Hyun Choi, Jihye Hwang, Eunjin Kwon, Seung Ah Lee, Kyoung Ae Kong, Hee Jin Kang, Bora Yoon, Byeong C Kim and 18 more

Abstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

5 citing papers in PubMed.

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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

28 authors.

Gyeong Seon ChoiDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Geon Ha KimDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Ji Hyun ChoiDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Jihye HwangDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Eunjin KwonDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Seung Ah LeeDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea.
Kyoung Ae KongDepartment of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Hee Jin KangDepartment of Neurology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.
Bora YoonDepartment of Neurology, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Korea.
Byeong C KimDepartment of Neurology, Chonnam National University Medical School, Gwangju, Korea.
Dong Wno YangDepartment of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Duk L NaDepartment of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.
Eun Joo KimDepartment of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea.
Hae Ri NaBrain Fitness Center, Bobath Memorial Hospital, Seongnam, Korea.
Hyun Jeong HanDepartment of Neurology, Myongji Hospital, Goyang, Korea.
Jae Hong LeeDepartment of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Jong Hun KimDepartment of Neurology, Dementia Center, Ilsan Hospital, National Health Insurance Service, Goyang, Korea.
Kang Youn LeeDepartment of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea.
Kee Hyung ParkDepartment of Neurology, Gachon University School of Medicine, Incheon, Korea.
Kyung Won ParkDepartment of Neurology, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, Korea.
SangYun KimDepartment of Neurology, Seoul National University College of Medicine and Clinical Neuroscience Center of Seoul National University Bundang Hospital, Seongnam, Korea.
Seol Heui HanDepartment of Neurology, Konkuk University Medical Center, Seoul, Korea.
Seong Yoon KimDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Soo Jin YoonDepartment of Neurology, Eulji University College of Medicine, Daejeon, Korea.
So Young MoonDepartment of Neurology, Ajou University School of Medicine, Suwon, Korea.
Young Chul YounDepartment of Neurology, Chung-Ang University College of Medicine, Seoul, Korea.
Seong Hye ChoiDepartment of Neurology, Inha University School of Medicine, Incheon, Korea.
Jee Hyang JeongDepartment of Neurology, Ewha Womans University School of Medicine, Seoul, Korea. jjeong@ewha.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeVisual assessment of medial temporal-lobe atrophy (MTA) has been quick, reliable, and easy to apply in routine clinical practice. However, one of the limitations in visual assessments of MTA is the lack of widely accepted age-adjusted norms and cutoff scores for MTA for a diagnosis of Alzheimer's disease (AD). This study aimed to determine the optimal cutoff score on a T1-weighted axial MTA Visual Rating Scale (VRS) for differentiating patients with AD from cognitively normal elderly people.

methodsThe 3,430 recruited subjects comprising 1,427 with no cognitive impairment (NC) and 2003 AD patients were divided into age ranges of 50-59, 60-69, 70-79, and 80-89 years. Of these, 446 participants (218 in the NC group and 228 in the AD group) were chosen by random sampling for inclusion in this study. Each decade age group included 57 individuals, with the exception of 47 subjects being included in the 80- to 89-year NC group. The scores on the T1-weighted axial MTA VRS were graded by two neurologists. The cutoff values were evaluated from the area under the receiver operating characteristic curve.

resultsThe optimal axial MTA VRS cutoff score from discriminating AD from NC increased with age: it was ≥as ≥1, ≥2, and ≥3 in subjects aged 50-59, 60-69, 70-79, and 80-89 years, respectively (all p<0.001).

conclusionsThese results show that the optimal cutoff score on the axial MTA VRS for diagnosing of AD differed according to the decade age group. This information could be of practical usefulness in the clinical setting.

Indexed as

Alzheimer's diseasecutoff scoremedial temporal-lobe atrophyT1-weighted axial Visual Rating Scale

Identifiers

PMID29971973
PMCPMC6031994

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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.