Evidence map›Paper›PMID 30596135›Full record

ArticleData in brief2019

Data on ultrabright fluorescent cellulose acetate nanoparticles for imaging tumors through systemic and topical applications.

Berney Peng, Mohammad Almeqdadi, Fabrice Laroche, Shajesh Palantavida, Maxim Dokukin, Jatin Roper, Omer H Yilmaz, Hui Feng, Igor Sokolov

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Long-Term Cell-Membrane-Coated Ultrabright Nanospheres for Targeted Cancer Cell Imaging and Hydrophobic Drug Delivery.Chemistry of materials : a publication of the American Chemical Society · 2025
    Article
  2. 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

9 authors at 4 institutions in 1 country.

Berney PengDepartment of Biomedical Engineering, Tufts University, Medford, MA, USA.
Mohammad AlmeqdadiDepartment of Medicine, St. Elizabeth׳s Medical Center, Boston, MA, USA.
Fabrice LarocheDepartments of Pharmacology and Medicine, The Center for Cancer Research, Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA, USA.
Shajesh PalantavidaDepartment of Mechanical Engineering, Tufts University, Medford, MA, USA.
Maxim DokukinDepartment of Mechanical Engineering, Tufts University, Medford, MA, USA.
Jatin RoperThe David H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA.
Omer H YilmazThe David H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA.
Hui FengDepartments of Pharmacology and Medicine, The Center for Cancer Research, Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA, USA.
Igor SokolovDepartment of Biomedical Engineering, Tufts University, Medford, MA, USA.
Tufts University · USBoston University · USTufts Medical Center · USAllen Institute · US

Funding

The Role of DLST in LeukemogenesisR01CA215059 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FENG, HUI · 2018 to 2022
$2.0M
The Role of DLST in LeukemogenesisR56CA215059 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FENG, HUI · 2017 to 2017
$376k
NCI NIH HHS R01 CA215059NCI NIH HHS R56 CA215059
6 · The paper itself

Abstract

Characterization data of fluorescent nanoparticles made of cellulose acetate (CA-dots) are shown. The data in this article accompanies the research article "

Identifiers

PMID30596135
PMCPMC6307339
OpenAlexW2905813449

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.