Evidence map›Paper›PMID 35458319›Full record

ArticlePolymers2022

Development of a Dual Drug-Loaded, Surfactant-Stabilized Contrast Agent Containing Oxygen.

Raj Patel, Quezia Lacerda, Brian E Oeffinger, John R Eisenbrey, Ankit K Rochani, Gagan Kaushal, Corinne E Wessner, Margaret A Wheatley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2022. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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.

Raj PatelSchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Quezia LacerdaSchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Brian E OeffingerSchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.ORCID 0000-0001-6411-3424
Ankit K RochaniDepartment of Pharmaceutical Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Gagan KaushalDepartment of Pharmaceutical Sciences, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Corinne E WessnerDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA 19107, USA.ORCID 0000-0002-5896-3841
Margaret A WheatleySchool of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.

Funding

Clinically Translatable Ultrasound-Sensitive Microbubble Approaches for Overcoming Tumor HypoxiaR01EB026881 · NIBIB · THOMAS JEFFERSON UNIVERSITY · PI EISENBREY, JOHN, WHEATLEY, MARGARET A. · 2018 to 2021
$2.5M
National Institute of Health EB026881NIBIB NIH HHS R01 EB026881
6 · The paper itself

Abstract

Co-delivery of cancer therapeutics improves efficacy and encourages synergy, but delivery faces challenges, including multidrug resistance and spatiotemporal distribution of therapeutics. To address these, we added paclitaxel to previously developed acoustically labile, oxygen-core, surfactant-stabilized microbubbles encapsulating lonidamine, with the aim of developing an agent containing both a therapeutic gas and two drugs acting in combination. Upon comparison of unloaded, single-loaded, and dual-loaded microbubbles, size (~1.7 µm) and yield (~2 × 10

Indexed as

dual drug loadingmicrobubblesoxygen deliverysurfactanttheranostic agentsultrasound contrast agentultrasound-triggered drug delivery

Identifiers

PMID35458319
PMCPMC9027498

What OpenQuestion holds

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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.