Evidence map›Paper›PMID 33133434›Full record

ArticleJournal of ophthalmic & vision research

Penetration of Carbon Nanotubes into the Retinoblastoma Tumor after Intravitreal Injection in LH

Hakan Demirci, Yichun Wang, Qiaochu Li, Cheng-Mao Lin, Nicholas A Kotov, Anna Beatriz Diniz Grisolia, Jay L Guo

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

Article in Journal of ophthalmic & vision research. 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
0.5field-weighted citation impact, top 35% 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, 12 citations in OpenAlex.

  1. Recent advances and future challenges in nanosystems for ocular drug delivery.The Journal of pharmacology and experimental therapeutics · 2025
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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 at 1 institution in 1 country.

Hakan DemirciDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Ann Arbor, MI, USA.
Yichun WangBiointerfaces Institute, University of Michigan Ann Arbor, MI, USA.
Qiaochu LiElectrical Engineering and Computer Science, University of Michigan Ann Arbor, MI, USA.
Cheng-Mao LinDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Ann Arbor, MI, USA.
Nicholas A KotovBiointerfaces Institute, University of Michigan Ann Arbor, MI, USA.
Anna Beatriz Diniz GrisoliaDepartment of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan Ann Arbor, MI, USA.
Jay L GuoElectrical Engineering and Computer Science, University of Michigan Ann Arbor, MI, USA.
University of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the penetration of carbon nanotubes (CNTs) throughout retinoblastoma in a transgenic mice model.

methodsCNTs functionalized with fluorescein isothiocyanate and targeting ligands biotin (CTN-FITC-Bio, 0.5mg/ml), or folic acid (CNT-FITC-FA, 0.5mg/ml) were injected into the vitreous of one eye of LH

resultsNine eyes of nine mice were included in each CNT-FITC-Bio and CNT-FITC-FA groups. The mean FI in CNT-FITC-Bio was 52.08

conclusionWe observed higher FI in eyes with CNT-FITC-Bio and CNT-FITC-FA compared to control eyes, showing penetration of CNTs throughout retinoblastoma. CNTs can be a carrier candidate for imaging or therapeutic purposes in retinoblastoma.

Indexed as

Carbon nanotubesIntravitreal InjectionLHBETATAG Transgenic Mice Retinoblastoma ModelNanoparticleNanotubesRetinoblastoma

Identifiers

PMID33133434
PMCPMC7591833
OpenAlexW3094273144

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.