Evidence map›Paper›PMID 33357199›Full record

ArticleCurrent medical imaging2021

The Differential Diagnostic Value of the Callosal Angle and Evans Index in Mild Cognitive Impairment and Alzheimer's Disease.

Mengqi Liu, Jing Zhang, Linxiong Zong, Wenping Fan, Botao Wang, Zhiye Chen

Abstract read
In one paragraph

Article in Current medical imaging, 2021. 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

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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

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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

6 authors.

Mengqi LiuDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Jing ZhangDepartment of Radiology, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Linxiong ZongDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya 572013, China.
Wenping FanDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya 572013, China.
Botao WangDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya 572013, China.
Zhiye ChenDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya 572013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCallosal Angle (CA) and Evans Index (EI) are considered as imaging biomarkers to diagnose normal-pressure hydrocephalus using traditional MR measurement methods.

objectiveThe current study aimed to evaluate the differential diagnostic value of CA and EI in Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD).

methodsFive-hundred and two subjects were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, which included 168 Normal Controls (NC), 233 MCI and 101 AD patients. The structural MR images were interactively applied with multiplanar reconstruction to measure the CA and EI.

resultsCA presented no significant difference among NC, MCI and AD groups (H value = 3.848, P value = 0.146), and EI demonstrated higher value in MCI and AD groups than that in NC groups (P = 0.000 and 0.001, respectively). MCI group had significant larger EI (0.29±0.04) than (0.27±0.03) NC group in 70-75 years old sub-groups. ROC showed that the area under the curve was 0.704±0.045 for NC-MCI in 70-75 years old groups. The correlation analysis indicated that EI was significantly negatively related to MMSE scores of MCI patients (r = -0.131, P = 0.046).

conclusionEI might serve as a screening imaging biomarker for MCI in 70-75 years old patients, and show limited differential value for the diagnosis of AD. CA could present no diagnostic value for MCI and AD in the current study.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedBiomarkersCorpus CallosumHumansNeuroimagingBiomarkersAlzheimer's diseasebrain.callosal angleevans indexmagnetic resonance imagingMild cognitive impairment

Identifiers

PMID33357199
PMCPMC8811612

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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.