Evidence map›Paper›PMID 26051807›Full record

ArticleChemical communications (Cambridge, England)2015

A cationic gadolinium contrast agent for magnetic resonance imaging of cartilage.

Jonathan D Freedman, Hrvoje Lusic, Martin Wiewiorski, Michelle Farley, Brian D Snyder, Mark W Grinstaff

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. dGEMRIC and CECT Comparison of Cationic and Anionic Contrast Agents in Cadaveric Human Metacarpal Cartilage.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
    Article
  4. Article
  5. Article
  6. Chemical science · 2015
    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

6 authors.

Jonathan D Freedman *Department of Pharmacology at Boston University and Boston University School of Medicine, Boston, MA.
Hrvoje Lusic *Department of Chemistry Boston University School of Medicine, Boston, MA.
Martin WiewiorskiCenter for Advanced Orthopaedic Studies Harvard Medical School, Boston, MA.
Michelle FarleyMRI Core Facility, Beth Israel Deaconess Medical Center (BIDMC), Harvard Medical School, Boston, MA.
Brian D SnyderCenter for Advanced Orthopaedic Studies Harvard Medical School, Boston, MA.
Mark W GrinstaffDepartment of Chemistry Boston University School of Medicine, Boston, MA.

Funding

TRAINING IN BIOMOLECULAR PHARMACOLOGYT32GM008541 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARB, DAVID H · 1997 to 2022
$5.2M
BIDMC 9.4T 20cm Biospec MRI SystemS10RR028792 · NCRR · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BURSTEIN, DEBORAH · 2009 to 2009
$2.4M
Characterizing electrostatic interactions between glycosaminoglycans and cationicR01GM098361 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GRINSTAFF, MARK W., GUERMAZI, ALI · 2012 to 2015
$1.1M
NCRR NIH HHS S10 RR028792NCRR NIH HHS S10RR028792NIGMS NIH HHS R01 GM098361NIGMS NIH HHS R01GM098361NIGMS NIH HHS T32 GM008541
6 · The paper itself

Abstract

A new cationic gadolinium contrast agent is reported for delayed gadolinium enhanced magnetic resonance imaging of cartilage (dGEMRIC). The agent partitions into the glycosaminoglycan rich matrix of articular cartilage, based on Donnan equilibrium theory, and its use enables imaging of the human cadaveric metacarpal phalangeal joint.

Indexed as

Magnetic Resonance ImagingCartilage, ArticularCationsContrast MediaGadoliniumHumansMetacarpophalangeal JointCationsContrast MediaGadolinium

Identifiers

PMID26051807
PMCPMC4841792

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.