Evidence map›Paper›PMID 26339222›Full record

ArticleJournal of medical and biological engineering

Review: Application of Nanoparticles in Urothelial Cancer of the Urinary Bladder.

Chieh-Hsiao Chen, Tzu-Min Chan, Yi-Jhen Wu, Jia-Jin Chen

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical and biological engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Nanomedicine in Bladder Cancer Therapy.International journal of molecular sciences · 2024
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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 2 institutions in 1 country.

Chieh-Hsiao ChenInstitute of Biomedical Engineering, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan ; Department of Urology, China Medical University Beigang Hospital, 123 Sin-Der Road, Beigang, 651 Yunlin Taiwan.
Tzu-Min ChanDepartment of Medical Education and Research, China Medical University Beigang Hospital, 123 Sin-Der Road, Beigang, 651 Yunlin Taiwan.
Yi-Jhen WuInstitute of Biomedical Engineering, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan.
Jia-Jin ChenInstitute of Biomedical Engineering, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan.
China Medical University Beigang Hospital · TWNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is a common malignancy of the urinary tract, which generally develops in the epithelial lining of the urinary bladder. The specific course of treatment depends on the stage of bladder cancer; however, therapeutic strategies typically involve intravesical drug delivery to reduce toxicity and increase therapeutic effects. Recently, metallic, polymeric, lipid, and protein nanoparticles have been introduced to aid in the treatment of bladder cancer. Nanoparticles are also commonly used as pharmaceutical carriers to improve interactions between drugs and the urothelium. In this review, we classify the characteristics of bladder cancer and discuss the types of nanoparticles used in various treatment modalities. Finally we summarize the potential applications and benefits of various nanoparticles in intravesical therapy.

Indexed as

Drug deliveryNanoparticlesNanotechnologyPhotothermal TherapyUrothelial cancer

Identifiers

PMID26339222
PMCPMC4551548
OpenAlexW1662718297

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.