Evidence map›Paper›PMID 26221413›Full record

ArticleInternational journal of clinical and experimental medicine2015

Quantitative assessment of amyotrophic lateral sclerosis with diffusion tensor imaging in 3.0T magnetic resonance.

Meili Tang, Xin Chen, Quan Zhou, Bo Liu, Yupin Liu, Sirun Liu, Zhiyuan Chen

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Meili TangImaging Division, Guangdong Provincial Chinese Medicine Hospital Guangzhou 510006, Guangdong, China.
Xin ChenImaging Division, Guangdong Provincial Chinese Medicine Hospital Guangzhou 510006, Guangdong, China.
Quan ZhouMedical Imaging Center, The First Affiliated Hospital of Jinan University Guangzhou 510006, Guangdong, China.
Bo LiuImaging Division, Guangdong Provincial Chinese Medicine Hospital Guangzhou 510006, Guangdong, China.
Yupin LiuImaging Division, Guangdong Provincial Chinese Medicine Hospital Guangzhou 510006, Guangdong, China.
Sirun LiuMedical Imaging Center, The First Affiliated Hospital of Jinan University Guangzhou 510006, Guangdong, China.
Zhiyuan ChenImaging Division, Guangdong Provincial Chinese Medicine Hospital Guangzhou 510006, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) was used to measure the fractional anisotropy (FA) and apparent diffusion coefficient (ADC) value in amyotrophic lateral sclerosis (ALS) patients to determine their diagnostic value. 69 ALS patients and 23 healthy controls were scanned with DTI sequence in 3.0T MR, and FA and ADC values in 18 regions were evaluated. Compared with the controls, the ADC values of patients in bilateral centrum semiovale, deep frontal and parietal white matter were significantly increased (P < 0.05), while the FA values in cerebral peduncle, posterior limb of internal capsule (PLIC), corona radiata, centrumsemiovale, bilateral deep frontal white matter, the genu and the splenium of the corpus callosum were significantly decreased (P < 0.05). When the FA cut-off value was set to ≤ 0.6860 for the cerebral peduncle, sensitivity (SE) and specificity (SP) of ALS were 95.7% and 83.9% respectively. When the cut-off value was set to ≤ 0.7085 for PLIC, SE and SP were 95.7% and 85.7% respectively. When the cut-off value was set to ≤ 0.6950 for corona radiata, SE and SP were 100.0% and 95.7%, respectively. DTI can be used to quantitatively evaluate injury in ALS patients.

Indexed as

Amyotrophic lateral sclerosisdiffusion tensor imagingfractional anisotropyquantitative measurment

Identifiers

PMID26221413
PMCPMC4509358

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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.