Evidence map›Paper›PMID 30819102›Full record

ArticleBMC geriatrics2019

A new age-related cutoff of medial temporal atrophy scale on MRI improving the diagnostic accuracy of neurodegeneration due to Alzheimer's disease in a Chinese population.

Mingqing Wei, Jing Shi, Jingnian Ni, Xuekai Zhang, Ting Li, Zilong Chen, Mengling Zhou, Liping Zhang, Zhongjian Tan, Yongyan Wang and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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  10. "Advances in biomarker discovery and diagnostics for alzheimer's disease".Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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  15. CT-based volumetric measures obtained through deep learning: Association with biomarkers of neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

11 authors.

Mingqing WeiNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Jing ShiNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Jingnian NiNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Xuekai ZhangNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Ting LiNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Zilong ChenNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Mengling ZhouNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Liping ZhangDepartment of Radiology, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Zhongjian TanDepartment of Radiology, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China.
Yongyan WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Jinzhou TianNeurology Centre, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, 100700, China. jztian@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual rating scales are still the most popular tools in assessing atrophy degrees of whole brain and lobes. However, the false negative rate of the previous cutoff score of visual rating scales was relatively high for detecting dementia of Alzheimer's type (DAT). This study aimed to evaluate the diagnostic value of new cutoffs of visual rating scales on magnetic resonance imaging for discriminating DAT in a Chinese population.

methodsOut of 585 enrolled subjects, 296 participants were included and diagnosed as normal cognition (NC)(n = 87), 138 diagnosed as amnestic mild cognitive impairment (aMCI), and 71 as dementia of Alzheimer's type (DAT). Receiver operating characteristic (ROC) curve analyses were used to calculate the diagnostic value of visual rating sales (including medial temporal atrophy (MTA), posterior atrophy rating scale (PA),global cortical atrophy scale (GCA) and medial temporal-lobe atrophy index (MTAi))for detecting NC from DAT .

resultsScores of MTA correlated to age and Mini-mental state examination score. When used to detect DAT from NC, the MTA showed highest diagnostic value than other scales, and when the cutoff score of 1.5 of MTA scale, it obtained an optimal sensitivity (84.5%) and specificity (79.1%) respectively, with a 15.5% of false negative rate. Cutoff scores and diagnostic values were calculated stratified by age. For the age ranges 50-64, 65-74, 75-84 years, the following cut-offs of MTA should be used, ≥1.0(sensitivity and specificity were 92.3 and 68.4%), ≥1.5(sensitivity and specificity were 90.4 and 85.2%), ≥ 2.0(sensitivity and specificity were 70.8 and 82.3%) respectively. All of the scales showed relatively lower diagnostic values for discriminating aMCI from NC.

conclusionsThe new age-based MTA cutoff showed better diagnostic accuracy for detecting DAT than previous standard, the list of practical cut-offs proposed here might be useful in clinical practice.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAtrophyChinaCognitive DysfunctionCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeurodegenerative DiseasesProspective StudiesTemporal LobeAlzheimer’s diseaseGlobal cortical atrophy scaleMedial temporal atrophy scaleMedial temporal-lobe atrophy indexPosterior atrophy rating scale

Identifiers

PMID30819102
PMCPMC6394092

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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.