Evidence map›Paper›PMID 39730977›Full record

ReviewJournal of the Egyptian National Cancer Institute2024

Green synthesis of copper nanoparticles: a promising solution for drug resistance and cancer therapy challenges.

Anand G Krishna, S Sahana, H Venkatesan, Vettrivel Arul

Abstract readReview
In one paragraph

Review in Journal of the Egyptian National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anand G KrishnaDepartment of Organon of medicine, Vinayaka Mission's Homoeopathic Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Salem, India. anand.g.krishna@gmail.com.
S SahanaDepartment of Practice of Medicine, Vinayaka Mission's Homoeopathic Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Salem, India.
H VenkatesanDepartment of Practice of Medicine, Vinayaka Mission's Homoeopathic Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Salem, India.
Vettrivel ArulDepartment of Community Medicine, Vinayaka Mission's Homoeopathic Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Salem, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGreen synthesis techniques have drawn a lot of interest lately since they are beneficial to the environment and have potential uses in a variety of industries, including biomedicine. Because of their special physicochemical characteristics, copper nanoparticles (CuNPs) have become one of the most interesting options for use in biological applications among nanomaterials. An overview of green synthesis methods for CuNPs is given in this review, along with a discussion of their applications in cancer therapeutics. The benefits and drawbacks of certain green synthesis techniques, such as plant-mediated, microorganism-mediated, and other environmentally friendly processes, are discussed. Moreover, a thorough discussion is given of CuNPs' biological uses, including their antibacterial activity, anticancer potential, drug transport, and bioimaging capabilities. Furthermore, difficulties and prospects for the application of green-synthesised CuNPs in biomedicine are discussed.

Indexed as

Antineoplastic AgentsCopperDrug Resistance, NeoplasmGreen Chemistry TechnologyMetal NanoparticlesNeoplasmsHumansAntineoplastic AgentsCopperActive deliveryAntibacterial activityAnticancer potentialBiomedicineCopper nanoparticlesCytotoxicityDrug deliveryGreen synthesisPassive delivery

Identifiers

PMID39730977
PMCPMC13327348

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Registered trials

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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.