Evidence map›Paper›PMID 38934648›Full record

ArticleACS applied bio materials2024

A Physiochemical,

Nimit Shah, Siddharth Reddy Soma, Maxwell Bortei Quaye, Doha Mahmoud, Sarah Ahmed, Ashritha Malkoochi, Girgis Obaid

Abstract readComparative Study
In one paragraph

Article in ACS applied bio materials, 2024. 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. The clinical ionizable lipid SM-102 enhances photochemical immunogenic cell death by verteporfin-conjugated liposomes and improves survival in vivo.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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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

7 authors.

Nimit ShahDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0003-4977-9222
Siddharth Reddy SomaDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Maxwell Bortei QuayeDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Doha MahmoudDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Sarah AhmedDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Ashritha MalkoochiDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Girgis ObaidDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0002-9452-4467

Funding

Molecular Imaging Guidance for Potentiating Chemoimmunotherapy in Pancreatic Cancer using Photodynamic PrimingR01EB034360 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI Girgis Obaid · 2024 to 2026
$1.6M
Molecular imaging-directed bioengineering of nanoconjugates as adaptable tumor targeting platformsR00CA215301 · NCI · UNIVERSITY OF TEXAS DALLAS · PI OBAID, GIRGIS · 2020 to 2022
$721k
NCI NIH HHS R00 CA215301NIBIB NIH HHS R01 EB034360
6 · The paper itself

Abstract

Visudyne

Indexed as

LiposomesMaterials TestingNanoparticlesPhotochemotherapyPhotosensitizing AgentsVerteporfinAnimalsBiocompatible MaterialsCell Line, TumorDrug CompoundingHumansLipidsMiceParticle SizeBiocompatible MaterialsLipid NanoparticlesLipidsLiposomesPhotosensitizing AgentsVerteporfinbenzoporphyrin derivativeimmunogenic cell deathliposomesphotodynamic therapysolid lipid nanoparticlesverteporfin

Identifiers

PMID38934648
PMCPMC11253097

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.