Evidence map›Paper›PMID 31595200›Full record

ArticleAging and disease2019

Characterization of Alzheimer's Disease Using Ultra-high b-values Apparent Diffusion Coefficient and Diffusion Kurtosis Imaging.

Yingnan Xue, Zhenhua Zhang, Caiyun Wen, Huiru Liu, Suyuan Wang, Jiance Li, Qichuan Zhuge, Weijian Chen, Qiong Ye

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yingnan Xue1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhenhua Zhang1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Caiyun Wen1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Huiru Liu1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Suyuan Wang1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jiance Li1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qichuan Zhuge2Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Weijian Chen1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qiong Ye1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study is to investigate the diffusion characteristics of Alzheimer's disease (AD) patients using an ultra-high b-values apparent diffusion coefficient (ADC_uh) and diffusion kurtosis imaging (DKI). A total of 31 AD patients and 20 healthy controls (HC) who underwent both MRI examination and clinical assessment were included in this study. Diffusion weighted imaging (DWI) was acquired with 14 b-values in the range of 0 and 5000 s/mm

Indexed as

ADC_uhAlzheimer’s DiseaseApparent Diffusion CoefficientDiffusion Kurtosis ImagingDKIUltra-high B-values Apparent Diffusion Coefficient

Identifiers

PMID31595200
PMCPMC6764724
OpenAlexW2904590633

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.