Evidence map›Paper›PMID 35155474›Full record

ArticleFrontiers in medicine2021

Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Chang Guo, Kai Zheng, Qiang Ye, Zixiao Lu, Zhuoyao Xie, Xin Li, Yinghua Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Chang GuoDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Kai ZhengDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Qiang YeDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Zixiao LuDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Zhuoyao XieDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Xin LiDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yinghua ZhaoDepartment of Radiology, Academy of Orthopedics, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Third Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo prospectively explore the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) parameters of sacroiliitis in patients with axial spondyloarthritis (axSpA).

methodsPatients with initially diagnosed axSpA prospectively underwent on 3.0 T MRI of sacroiliac joint (SIJ). The IVIM parameters (

resultsThe study eventually enrolled 234 patients (178 men, 56 women; mean age, 28.51 ± 9.50 years) with axSpA. With controlling confounders,

conclusionThere were independent correlations between

Indexed as

diffusion-weighted imagingdynamic contrast-enhancedintravoxel incoherent motionmagnetic resonance imagingspondyloarthritis

Identifiers

PMID35155474
PMCPMC8826054
OpenAlexW4210306543

What OpenQuestion 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 OpenQuestion graph.