Evidence map›Paper›PMID 29657915›Full record

ArticleChemistryOpen2018

Macromolecular Crowding May Significantly Affect the Performance of an MRI Contrast Agent: A

Ren-Hao Cheng, Jie-Min Chen, Yu-Wen Chen, Honghao Cai, Xiaohong Cui, Dennis W Hwang, Zhong Chen, Shangwu Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ChemistryOpen, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

8 authors.

Ren-Hao ChengDepartment of Chemistry and Center for Nanoscience & Nanotechnology National Sun Yat-sen University 70 Lien-Hai Road, Kaohsiung Taiwan 80424 Republic of China).
Jie-Min ChenDepartment of Chemistry and Center for Nanoscience & Nanotechnology National Sun Yat-sen University 70 Lien-Hai Road, Kaohsiung Taiwan 80424 Republic of China).
Yu-Wen ChenInstitute of Biomedical Sciences Academia Sinica Taipei (Taiwan) 115 Republic of China.
Honghao CaiDepartment of Chemistry and Center for Nanoscience & Nanotechnology National Sun Yat-sen University 70 Lien-Hai Road, Kaohsiung Taiwan 80424 Republic of China).
Xiaohong CuiDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces Xiamen University 422 Siming South Road Xiamen 361005 P.R. China.
Dennis W HwangInstitute of Biomedical Sciences Academia Sinica Taipei (Taiwan) 115 Republic of China.
Zhong ChenDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces Xiamen University 422 Siming South Road Xiamen 361005 P.R. China.
Shangwu DingDepartment of Chemistry and Center for Nanoscience & Nanotechnology National Sun Yat-sen University 70 Lien-Hai Road, Kaohsiung Taiwan 80424 Republic of China).ORCID 0000-0002-9642-7011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast enhancement agents are often employed in magnetic resonance imaging (MRI) for clinical diagnosis and biomedical research. However, the current theory on MRI contrast generation does not consider the ubiquitous presence of macromolecular crowders in biological systems, which poses the risk of inaccurate data interpretation and misdiagnosis. To address this issue, herein the macromolecular crowding effects on MRI contrast agent are investigated with the

Indexed as

imaging agentsmacromolecular crowding effectmagnetic resonance imagingNMR spectroscopyrelaxivity

Identifiers

PMID29657915
PMCPMC5891664

What OpenQuestion holds

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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.