Evidence map›Paper›PMID 31008407›Full record

ArticleHeliyon2019

Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson's disease.

Virendra R Mishra, Karthik R Sreenivasan, Xiaowei Zhuang, Zhengshi Yang, Dietmar Cordes, Ryan R Walsh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05227820 (Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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.

NCT05227820 phase2completednot on this mapstarted 2022, after this paper: background citation

Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias

TypeinterventionalSponsorNeurological Associates of West Los AngelesRan2022 to 2022Enrolled23ConditionsAlzheimer DiseaseArmsNE3107
3 · Its place in the literature

Who cites it

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

6 authors at 2 institutions in 1 country.

Virendra R MishraLou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, Nevada, United States.
Karthik R SreenivasanLou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, Nevada, United States.
Xiaowei ZhuangLou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, Nevada, United States.
Zhengshi YangLou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, Nevada, United States.
Dietmar CordesLou Ruvo Center for Brain Health, Cleveland Clinic Foundation, Las Vegas, Nevada, United States.
Ryan R WalshMuhammad Ali Parkinson Center, Barrow Neurological Institute, Phoenix, Arizona, United States.
Lou Ruvo Brain Institute · USBarrow Neurological Institute · US

Funding

Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI JESSICA KIRKLAND CALDWELL · 2015 to 2026
$22.8M
NIGMS NIH HHS P20 GM109025
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) studies in early Parkinson's disease (PD) to understand pathologic changes in white matter (WM) organization are variable in their findings. Evaluation of different analytic techniques frequently employed to understand the DTI-derived change in WM organization in a multisite, well-characterized, early stage PD cohort should aid the identification of the most robust analytic techniques to be used to investigate WM pathology in this disease, an important unmet need in the field. Thus, region of interest (ROI)-based analysis, voxel-based morphometry (VBM) analysis with varying spatial smoothing, and the two most widely used skeletonwise approaches (tract-based spatial statistics, TBSS, and tensor-based registration, DTI-TK) were evaluated in a DTI dataset of early PD and Healthy Controls (HC) from the Parkinson's Progression Markers Initiative (PPMI) cohort. Statistical tests on the DTI-derived metrics were conducted using a nonparametric approach from this cohort of early PD, after rigorously controlling for motion and signal artifacts during DTI scan which are frequent confounds in this disease population. Both TBSS and DTI-TK revealed a significantly negative correlation of fractional anisotropy (FA) with disease duration. However, only DTI-TK revealed radial diffusivity (RD) to be driving this FA correlation with disease duration. HC had a significantly positive correlation of MD with cumulative DaT score in the right middle-frontal cortex after a minimum smoothing level (at least 13mm) was attained. The present study found that scalar DTI-derived measures such as FA, MD, and RD should be used as imaging biomarkers with caution in early PD as the conclusions derived from them are heavily dependent on the choice of the analysis used. This study further demonstrated DTI-TK may be used to understand changes in DTI-derived measures with disease progression as it was found to be more accurate than TBSS. In addition, no singular region was identified that could explain both disease duration and severity in early PD. The results of this study should help standardize the utilization of DTI-derived measures in PD in an effort to improve comparability across studies and time, and to minimize variability in reported results due to variation in techniques.

Indexed as

Neuroscience

Identifiers

PMID31008407
PMCPMC6458486
OpenAlexW2935817264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.