Evidence map›Paper›PMID 37781530›Full record

ReviewFrontiers in bioengineering and biotechnology2023

pH stimuli-responsive hydrogels from non-cellulosic biopolymers for drug delivery.

Udaykumar Vegad, Megha Patel, Dignesh Khunt, Ožbej Zupančič, Sanjay Chauhan, Amrit Paudel

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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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

6 authors.

Udaykumar VegadGraduate School of Pharmacy, Gujarat Technological University, Ahmedabad, Gujarat, India.
Megha PatelGraduate School of Pharmacy, Gujarat Technological University, Ahmedabad, Gujarat, India.
Dignesh KhuntGraduate School of Pharmacy, Gujarat Technological University, Ahmedabad, Gujarat, India.
Ožbej ZupančičResearch Center Pharmaceutical Engineering GmbH (RCPE), Graz, Austria.
Sanjay ChauhanGraduate School of Pharmacy, Gujarat Technological University, Ahmedabad, Gujarat, India.
Amrit PaudelResearch Center Pharmaceutical Engineering GmbH (RCPE), Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past several decades, there has been significant growth in the design and development of more efficient and advanced biomaterials based on non-cellulosic biological macromolecules. In this context, hydrogels based on stimuli-responsive non-cellulosic biological macromolecules have garnered significant attention because of their intrinsic physicochemical properties, biological characteristics, and sustainability. Due to their capacity to adapt to physiological pHs with rapid and reversible changes, several researchers have investigated pH-responsive-based non-cellulosic polymers from various materials. pH-responsive hydrogels release therapeutic substances in response to pH changes, providing tailored administration, fewer side effects, and improved treatment efficacy while reducing tissue damage. Because of these qualities, they have been shown to be useful in a wide variety of applications, including the administration of chemotherapeutic drugs, biological material, and natural components. The pH-sensitive biopolymers that are utilized most frequently include chitosan, alginate, hyaluronic acid, guar gum, and dextran. In this review article, the emphasis is placed on pH stimuli-responsive materials that are based on biological macromolecules for the purposes of drug administration.

Indexed as

drug deliveryformulationhydrogelnon-cellulosic biological macromoleculespH-sensitive polymer

Identifiers

PMID37781530
PMCPMC10540072

What OpenQuestion holds

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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.