Evidence map›Paper›PMID 36986879›Full record

ReviewPharmaceutics2023

Carbon Dots: Opportunities and Challenges in Cancer Therapy.

Tanima Bhattacharya, Gye Hwa Shin, Jun Tae Kim

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Nitrogen-Doped Carbon Dot/TiOBiomolecules · 2026
    Article
  2. Article
  3. Review
  4. Review
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  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Potential of Carbon Nanodots (CNDs) in Cancer Treatment.Nanomaterials (Basel, Switzerland) · 2025
    Review
  18. Review
  19. Review
  20. 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

3 authors.

Tanima BhattacharyaDepartment of Food and Nutrition, Kyung Hee University, Seoul 02447, Republic of Korea.
Gye Hwa ShinDepartment of Food and Nutrition, Kunsan National University, Gunsan 54150, Republic of Korea.ORCID 0000-0002-1891-9053
Jun Tae KimDepartment of Food and Nutrition, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0001-6722-1789

Funding

National Research Foundation of Korea (NRF) NRF-2022M3H4A1A03085361
6 · The paper itself

Abstract

Recently, carbon dots (CDs) have been actively studied and reported for their various properties. In particular, the specific characteristics of carbon dots have been considered as a possible technique for cancer diagnosis and therapy. This is also a cutting-edge technology that offers fresh ideas for treating various disorders. Though carbon dots are still in their infancy and have not yet shown their value to society, their discovery has already resulted in some noteworthy advancements. The application of CDs indicates conversion in natural imaging. Photography using CDs has demonstrated extraordinary appropriateness in bio-imaging, the discovery of novel drugs, the delivery of targeted genes, bio-sensing, photodynamic therapy, and diagnosis. This review seeks to provide a comprehensive understanding of CDs, including their benefits, characteristics, applications, and mode of action. In this overview, many CD design strategies will be highlighted. In addition, we will discuss numerous studies on cytotoxic testing to demonstrate the safety of CDs. The current study will address the production method, mechanism, ongoing research, and application of CDs in cancer diagnosis and therapy.

Indexed as

bio-imagingcancer theranosticcarbon dotssurface chemistry

Identifiers

PMID36986879
PMCPMC10059251

What OpenQuestion holds

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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.