Evidence map›Paper›PMID 39513302›Full record

ReviewCurrent drug delivery2025

Innovative Nanocomposites for Drug Delivery: A Novel Approach for Diabetic Foot Ulcer.

Rubi Parveen, Faraat Ali, Shiv Dev Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Analysis of Pharmacological Properties ofLife (Basel, Switzerland) · 2025
    Review
  2. 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

3 authors.

Rubi ParveenDepartment of Pharmacy, MJP Rohilkhand University, Bareilly, Uttar Pradesh 234001, India.
Faraat AliDepartment of Analytical Chemistry, Faculty of Pharmacy in Hradec Kralove, Charles University, Akademika Heyrovskeho 1203, Hradec Kralove, 500 05, Czech Republic.ORCID 0000-0002-1438-4223
Shiv Dev SinghDepartment of Pharmacy, MJP Rohilkhand University, Bareilly, Uttar Pradesh 234001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic Foot Ulcer (DFU) is a chronic wound, and a person with diabetes has an increased lifetime risk of foot ulcers (19%-34%) and high morbidity (65% recurrence in 3-5 years, 20% lifetime amputation). Recent data have shown rising amputation rates, especially in the younger and minority populations. This abstract discusses innovative approaches for addressing this issue. This highlights the use of nanotechnology-based drug nanocomposite systems for natural wound healing therapies, with a focus on nanoparticles, nano-emulsions, and nanogels. This review also emphasizes the potential of hydrogels for drug delivery, highlighting their versatility in various medical applications. Furthermore, it delves into the use of silver nanoparticles (AgNP's) for treating diabetic wounds while acknowledging the need to address potential toxicity concerns. Finally, the abstract discusses the utilization of traditional herbal medicine and the integration of modern science to advance wound care, particularly focusing on wound microbiome, immune response, and controlled herbal medicine delivery. This study also highlights clinical trials conducted on DFU. Overall, these abstracts highlight the importance of exploring diverse and innovative solutions to chronic wound management.

Indexed as

Diabetic FootDrug Delivery SystemsNanocompositesAnimalsHumansHydrogelsMetal NanoparticlesSilverWound HealingHydrogelsSilverDiabetic Foot Ulcerhydrogelmatrix-based gel systemnanocompositepolyphenols.silver nanoparticleswound dressing

Identifiers

PMID39513302

What OpenQuestion 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 OpenQuestion graph.