Evidence map›Paper›PMID 41082057›Full record

ReviewCurrent gastroenterology reports2025

Exploring Recent Advances in Colon-targeted Drug Delivery Systems: from Traditional Methods to Advanced Technologies.

Nidhi Agrawal, Mohammad Akbar Siddiqui, Sakshi Gupta, Meenakshi Jaiswal, S K Lanjhiyana

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current gastroenterology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Self-rolling film foriScience · 2026
    Article
  3. Review
  4. Article
  5. Review
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

5 authors.

Nidhi AgrawalDepartment of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, 495009, India.
Mohammad Akbar SiddiquiDepartment of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, 495009, India.
Sakshi GuptaDepartment of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, 495009, India.
Meenakshi JaiswalDepartment of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, 495009, India. jaiswalmeenakshiggu@gmail.com.
S K LanjhiyanaDepartment of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, 495009, India. sklanjh1975@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review examines various colon-targeted drug delivery systems (CTDDS) and their implications for the treatment of colonic disorders. RECENT

findingsRecent studies have demonstrated substantial advancements in CTDDS by the development of pH-dependent, enzyme-responsive, and time-controlled formulations designed for enhancing site-specific delivery and reducing systemic adverse effects. Advanced methodologies, such as ligand or receptor-mediated targeting and multifunctional systems that incorporate various triggering mechanisms, are demonstrating encouraging outcomes in improving therapeutic efficacy. Furthermore, innovative methods like pressure, osmotic-controlled systems, and 3D printing technologies are also being explored for their ability to ensure precise drug release in the colonic region. CTDDS enables localized, controlled therapy, which has the potential to enhance colonic disease outcomes. Integrating the knowledge of the colon's physiology with new delivery technologies may help future research and facilitate the development of more effective treatments.

Indexed as

ColonColonic DiseasesDrug Delivery SystemsHumansColonColon-targeted drug delivery systemNovel approachesPH-dependent systemsReceptor-mediated targeting

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.