Evidence map›Paper›PMID 28700244›Full record

ArticleMolecular pharmaceutics2017

Targeted Yttrium 89-Doxorubicin Drug-Eluting Bead-A Safety and Feasibility Pilot Study in a Rabbit Liver Cancer Model.

Johannes M Ludwig, Minzhi Xing, Yongkang Gai, Lingyi Sun, Dexing Zeng, Hyun S Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular pharmaceutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors at 2 institutions in 2 countries.

Johannes M LudwigDivision of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine , 330 Cedar Street, New Haven, Connecticut 06510, United States.
Minzhi XingDivision of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine , 330 Cedar Street, New Haven, Connecticut 06510, United States.
Yongkang GaiMolecular Imaging Laboratory, Department of Medicine, University of Pittsburgh , 3501 Fifth Avenue, Pittsburgh, Pennsylvania 15260, United States.
Lingyi SunMolecular Imaging Laboratory, Department of Medicine, University of Pittsburgh , 3501 Fifth Avenue, Pittsburgh, Pennsylvania 15260, United States.
Dexing ZengMolecular Imaging Laboratory, Department of Medicine, University of Pittsburgh , 3501 Fifth Avenue, Pittsburgh, Pennsylvania 15260, United States.
Hyun S KimDivision of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine , 330 Cedar Street, New Haven, Connecticut 06510, United States.ORCID 0000-0002-3077-9989
University of Pittsburgh · USYale University · US

Funding

Solid-Phase Platform for the Preparation of Dual-receptor Targeted PET AgentsR21EB017317 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZENG, DEXING · 2013 to 2014
$415k
NIBIB NIH HHS R21 EB017317
6 · The paper itself

Abstract

The purpose of this article is to evaluate feasibility and safety of the cancer targeting (radio)-chemoembolization drug-eluting bead (TRCE-DEB) concept drug SW43-DOX-L-NETA(

Indexed as

Analysis of VarianceAnimalsDisease Models, AnimalDoxorubicinDrug Delivery SystemsLiver NeoplasmsLiver Neoplasms, ExperimentalRabbitsReceptors, sigmaTreatment OutcomeYttriumDoxorubicinReceptors, sigmasigma-2 receptorYttriuminterventional radiologyNew Zealand white rabbitradiochemoembolizationsigma-2 receptorSW43VX2

Identifiers

PMID28700244
PMCPMC6333204
OpenAlexW2735701391

What OpenQuestion holds

Textmetadata
LicenceTDM
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.