Evidence map›Paper›PMID 31664017›Full record

ArticleNature communications2019

Early detection and staging of chronic liver diseases with a protein MRI contrast agent.

Mani Salarian, Ravi Chakra Turaga, Shenghui Xue, Maysam Nezafati, Khan Hekmatyar, Jingjuan Qiao, Yinwei Zhang, Shanshan Tan, Oluwatosin Y Ibhagui, Yan Hai and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Article
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  6. Article
  7. Machine learning-based development of Gadolinium binding peptides.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Non-invasive diagnosis of liver fibrosis via MRI using targeted gadolinium-based nanoparticles.European journal of nuclear medicine and molecular imaging · 2024
    Article
  13. Quantitative in Vivo Molecular MRI.Advanced materials (Deerfield Beach, Fla.) · 2024
    Review
  14. Article
  15. Article
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  18. Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Mani SalarianDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Ravi Chakra TuragaDepartment of Biology, Georgia State University, Atlanta, GA, 30303, USA.ORCID http://orcid.org/0000-0001-9075-7645
Shenghui XueDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.ORCID http://orcid.org/0000-0001-8670-2131
Maysam NezafatiDepartment of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Khan HekmatyarBioimaging Research Center, University of Georgia, Athens, GA, 30602, USA.
Jingjuan QiaoDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Yinwei ZhangDepartment of Biology, Georgia State University, Atlanta, GA, 30303, USA.
Shanshan TanDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Oluwatosin Y IbhaguiDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA.
Yan HaiDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA.
Jibiao LiCenter for Molecular and Translational Medicine, Georgia State University, Atlanta, GA, 30303, USA.
Rao MukkavilliCenter for Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30303, USA.
Malvika SharmaDepartment of Biology, Georgia State University, Atlanta, GA, 30303, USA.
Pardeep MittalMedical College of Georgia, Augusta University, Augusta, 30912, Georgia.
Xiaoyi MinDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA.
Shella KeilholzDepartment of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Liqing YuCenter for Molecular and Translational Medicine, Georgia State University, Atlanta, GA, 30303, USA.
Gengshen QinDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA.
Alton Brad FarrisDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA.ORCID http://orcid.org/0000-0001-5534-7763
Zhi-Ren LiuDepartment of Biology, Georgia State University, Atlanta, GA, 30303, USA.
Jenny J YangDepartment of Chemistry, Georgia State University, Atlanta, GA, 30303, USA. jenny@gsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and noninvasive detection of liver fibrosis and its heterogeneity remain as major unmet medical needs for stopping further disease progression toward severe clinical consequences. Here we report a collagen type I targeting protein-based contrast agent (ProCA32.collagen1) with strong collagen I affinity. ProCA32.collagen1 possesses high relaxivities per particle (r

Indexed as

Chronic DiseaseContrast MediaEarly DiagnosisGadoliniumHumansHypertension, PortalLiverMagnetic Resonance ImagingContrast MediaGadolinium

Identifiers

PMID31664017
PMCPMC6820552

What OpenQuestion holds

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LicenceCC BY
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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.