Evidence map›Paper›PMID 36246066›Full record

ArticleIranian journal of basic medical sciences2022

Wound dressings incorporating microRNAs: Innovative therapy for diabetic wound treatment.

Mohammad Hasan Soheilifar, Nastaran Masoudi-Khoram

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. A Mini-Review on Fibroblast-Derived Exosomes as Wound Healing Stimulators.International journal of hematology-oncology and stem cell research · 2025
    Review
  4. Article
  5. [Research advances on the role of microRNA engineered exosomes in diabetic wounds].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2024
    Review
  6. AnIranian journal of basic medical sciences · 2024
    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

2 authors at 1 institution in 1 country.

Mohammad Hasan SoheilifarDepartment of Medical Laser, Medical Laser Research Center, Yara Institute, ACECR, Tehran, Iran.
Nastaran Masoudi-KhoramDepartment of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Tarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic wounds are the most critical complication in patients with diabetes, which often lead to hospitalization and limb amputations. Diabetic foot ulcers (DFU) is characterized by infections, prolonged inflammation, and a delayed wound healing process. Different types of medical procedures including surgical therapy, drug delivery, stem cell therapy, and wound dressings are used to manage DFU. Bioactive dressings such as hydrogels, nanofiber, and collagens are promising materials that can accelerate the healing process. The wound dressing materials can also be loaded with bioactive molecules like nucleic acids. MicroRNAs (miRNAs) are small non-coding RNA molecules that have recently emerged as regulators of impaired wound healing and could be a target for DFU treatment. miRNA therapeutics can be delivered to the wound region using different delivery systems such as exosomes and nanoparticles. These wound dressings have a high potential for treating diabetic wounds by topical delivery of certain miRNAs in a sustained release manner.

Indexed as

Diabetic footDressingsMicroRNAWound healingWound therapy

Identifiers

PMID36246066
PMCPMC9526883
OpenAlexW4306667566

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.