Evidence map›Paper›PMID 36285768›Full record

ArticleJournal of materials chemistry. B2022

Size effect of liposomes on centimeter-deep ultrasound-switchable fluorescence imaging and ultrasound-controlled release.

Yang Liu, Tingfeng Yao, Liqin Ren, Baohong Yuan

Open access · greenAbstract read
In one paragraph

Article in Journal of materials chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Dynamic models for ultrasound-switchable fluorescence.Physics in medicine and biology · 2026
    Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Yang LiuDepartment of Bioengineering, The University of Texas at Arlington, TX 76010, USA. Joint Biomedical Engineering Program, The University of Texas at Arlington and University of Texas Southwestern Medical Center, Dallas, TX, 75235, USA. baohong@uta.edu.ORCID 0000-0003-3121-8013
Tingfeng YaoDepartment of Bioengineering, The University of Texas at Arlington, TX 76010, USA. Joint Biomedical Engineering Program, The University of Texas at Arlington and University of Texas Southwestern Medical Center, Dallas, TX, 75235, USA. baohong@uta.edu.
Liqin RenDepartment of Bioengineering, The University of Texas at Arlington, TX 76010, USA. Joint Biomedical Engineering Program, The University of Texas at Arlington and University of Texas Southwestern Medical Center, Dallas, TX, 75235, USA. baohong@uta.edu.
Baohong YuanDepartment of Bioengineering, The University of Texas at Arlington, TX 76010, USA. Joint Biomedical Engineering Program, The University of Texas at Arlington and University of Texas Southwestern Medical Center, Dallas, TX, 75235, USA. baohong@uta.edu.
The University of Texas at Arlington · US

Funding

Mapping activeness of very small tumors in breast for patient stratificationR15EB030809 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI YUAN, BAOHONG · 2021 to 2021
$443k
NIBIB NIH HHS R15 EB030809
6 · The paper itself

Abstract

Liposomes have been widely used in both medical imaging and drug delivery fields due to their excellent biocompatibility and easy surface modification. Recently our lab reported for the first-time the implementation of temperature-sensitive and indocyanine green (ICG)-encapsulated liposome microparticles for

Indexed as

LiposomesOptical ImagingDelayed-Action PreparationsIndocyanine GreenUltrasonographyDelayed-Action PreparationsIndocyanine GreenLiposomes

Identifiers

PMID36285768
PMCPMC9670236
OpenAlexW4307343995

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.