Evidence map›Paper›PMID 41110154›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Multicore SPION Clustering within Poly(amino acid) Corrals for Enhanced MRI Contrast and Drug Release.

Mohamed F Kabil, Adekunle Titus Akinmola, Animesh Pan, Muzahidul I Anik, Robert Mills, Carmen Scholz, Edward G Walsh, Geoffrey D Bothun

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. 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.

Mohamed F KabilDepartment of Biomedical and Pharmaceutical Sciences, University of Rhode Island, 7 Greenhouse Road, Kingston, RI, 02881, United States.
Adekunle Titus AkinmolaDepartment of Chemistry, University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL, 35899, USA.
Animesh PanDepartment of Chemical, Biomolecular and Materials Engineering, University of Rhode Island, 3 East Alumni Avenue, Kingston, RI, 02881, USA.
Muzahidul I AnikDepartment of Chemical, Biomolecular and Materials Engineering, University of Rhode Island, 3 East Alumni Avenue, Kingston, RI, 02881, USA.
Robert MillsDepartment of Chemistry, University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL, 35899, USA.
Carmen ScholzDepartment of Chemistry, University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL, 35899, USA.
Edward G WalshRobert J. & Nancy D. Carney Institute for Brain Science, Brown University, 164 Angell Street, Providence, RI, 02912, USA.
Geoffrey D BothunDepartment of Chemical, Biomolecular and Materials Engineering, University of Rhode Island, 3 East Alumni Avenue, Kingston, RI, 02881, USA.ORCID 0000-0002-7513-2417

Funding

National Science Foundation 2305402National Science Foundation under the Established Program to Stimulate Competitive Research (EPSCoR) 1655221
6 · The paper itself

Abstract

Superparamagnetic iron oxide nanoparticle (SPION) clusters produce localized magnetic field inhomogeneities that enhance negative contrast in magnetic resonance imaging (MRI). It is shown that high transverse relaxivity (r

Indexed as

Amino AcidsContrast MediaDrug LiberationMagnetic Iron Oxide NanoparticlesMagnetic Resonance ImagingPolymersHydrophobic and Hydrophilic InteractionsMicellesPolyethylene GlycolsAmino AcidsContrast MediaMicellesPolyethylene GlycolsPolymersmagnetic relaxivitymagnetic resonance imagingmulticore clusterspolymer self‐assemblySPION

Identifiers

PMID41110154
PMCPMC12674095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.