Evidence map›Paper›PMID 27552827›Full record

Trial reportBMC medical imaging2016

Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial.

Ying Yu, Qian Sun, Lin-Feng Yan, Yu-Chuan Hu, Hai-Yan Nan, Yang Yang, Zhi-Cheng Liu, Wen Wang, Guang-Bin Cui

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC medical imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02420470 (The Early Warning System for the Central Nervous System Micro-structure Alterations During Early Diabetes Based on the Multi-mode MRIs), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 34% 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.

NCT02420470 recruitingnot on this map

The Early Warning System for the Central Nervous System Micro-structure Alterations During Early Diabetes Based on the Multi-mode MRIs

TypeobservationalSponsorTang-Du HospitalRan2015 to 2026Enrolled300ConditionsDiabetes Mellitus Type 2, Mild Cognitive Impairment, Metabolic Syndrome X
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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.

Ying YuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Qian SunDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Lin-Feng YanDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Yu-Chuan HuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Hai-Yan NanDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Yang YangDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Zhi-Cheng LiuDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China.
Wen WangDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China. wangwen@fmmu.edu.cn.ORCID 0000-0001-6473-4888
Guang-Bin CuiDepartment of Radiology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, China. cgbtd@126.com.
Air Force Medical University · CNTang Du Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a risk factor for dementia. Mild cognitive impairment (MCI), an intermediary state between normal cognition and dementia, often occurs during the prodromal diabetic stage, making early diagnosis and intervention of MCI very important. Latest neuroimaging techniques revealed some underlying microstructure alterations for diabetic MCI, from certain aspects. But there still lacks an integrated multimodal MRI system to detect early neuroimaging changes in diabetic MCI patients. Thus, we intended to conduct a diagnostic trial using multimodal MRI techniques to detect early diabetic MCI that is determined by the Montreal Cognitive Assessment (MoCA).

methodsIn this study, healthy controls, prodromal diabetes and diabetes subjects (53 subjects/group) aged 40-60 years will be recruited from the physical examination center of Tangdu Hospital. The neuroimaging and psychometric measurements will be repeated at a 0.5 year-interval for 2.5 years' follow-up. The primary outcome measures are 1) Microstructural and functional alterations revealed with multimodal MRI scans including structure magnetic resonance imaging (sMRI), resting state functional magnetic resonance imaging (rs-fMRI), diffusion kurtosis imaging (DKI), and three-dimensional pseudo-continuous arterial spin labeling (3D-pCASL); 2) Cognition evaluation with MoCA. The second outcome measures are obesity, metabolic characteristics, lifestyle and quality of life. DISCUSSION: The study will provide evidence for the potential use of multimodal MRI techniques with psychometric evaluation in diagnosing MCI at prodromal diabetic stage so as to help decision making in early intervention and improve the prognosis of T2DM.

trial registrationThis study has been registered to ClinicalTrials.gov ( NCT02420470 ) on April 2, 2015 and published on July 29, 2015.

Indexed as

AdultCognitive DysfunctionDiabetes Mellitus, Type 2FemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeuroimagingProspective StudiesPsychometricsQuality of LifeRisk FactorsMicrostructural alterationsMicrovascular alterationsMild cognitive impairmentNeuroimaging techniquesProdromal diabetic stageType 2 diabetes mellitus

Identifiers

PMID27552827
PMCPMC4995633
OpenAlexW2515818870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.