Evidence map›Paper›PMID 36986662›Full record

ReviewPharmaceutics2023

Dendrimer-Mediated Delivery of Anticancer Drugs for Colon Cancer Treatment.

Divya Bharti Rai, Kanakaraju Medicherla, Deep Pooja, Hitesh Kulhari

Open access · goldAbstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
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  7. Current Advances in Nanocarriers for Cancer Therapy.International journal of nanomedicine · 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

4 authors at 3 institutions in 1 country.

Divya Bharti RaiSchool of Nano Sciences, Central University of Gujarat, Gandhinagar 382030, Gujarat, India.
Kanakaraju MedicherlaDepartment of Human Genetics, College of Science and Technology, Andhra University, Visakhapatnam 530003, Andhra Pradesh, India.
Deep PoojaSchool of Pharmacy, National Forensic Science University, Gandhinagar 382007, Gujarat, India.
Hitesh KulhariSchool of Nano Sciences, Central University of Gujarat, Gandhinagar 382030, Gujarat, India.
Central University of Gujarat · INAndhra University · INNational Forensic Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The third most common cancer worldwide is colon cancer (CC). Every year, there more cases are reported, yet there are not enough effective treatments. This emphasizes the need for new drug delivery strategies to increase the success rate and reduce side effects. Recently, a lot of trials have been done for developing natural and synthetic medicines for CC, among which the nanoparticle-based approach is the most trending. Dendrimers are one of the most utilized nanomaterials that are accessible and offer several benefits in the chemotherapy-based treatment of CC by improving the stability, solubility, and bioavailability of drugs. They are highly branched polymers, making it simple to conjugate and encapsulate medicines. Dendrimers have nanoscale features that enable the differentiation of inherent metabolic disparities between cancer cells and healthy cells, enabling the passive targeting of CC. Moreover, dendrimer surfaces can be easily functionalized to improve the specificity and enable active targeting of colon cancer. Therefore, dendrimers can be explored as smart nanocarriers for CC chemotherapy.

Indexed as

active targetingcolon cancerdendrimersdrug deliverypassive targeting

Identifiers

PMID36986662
PMCPMC10059812
OpenAlexW4322742065

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.