Evidence map›Paper›PMID 39852009›Full record

ArticleGels (Basel, Switzerland)2025

Evaluation of Carboxymethyl Cellulose/Gelatin Hydrogel-Based Dressing Containing Cefdinir for Wound Healing Promotion in Animal Model.

Zahra Soleimani, Hadi Baharifar, Najmeh Najmoddin, Kamyar Khoshnevisan

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. RSC advances · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Vitamin E incorporated in Carboxymethyl Cellulose-Gelatin Hydrogel Increases Wound Healing.International journal of molecular and cellular medicine · 2025
    Article
  7. 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

4 authors.

Zahra SoleimaniDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran.
Hadi BaharifarDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran.ORCID 0000-0002-8913-3672
Najmeh NajmoddinDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran.
Kamyar KhoshnevisanMedical Nanotechnology and Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran 1983963113, Iran.ORCID 0000-0003-1250-4292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin serves as a critical barrier against external pathogens, and its wound healing is a complex biological process that requires careful management to ensure optimal tissue regeneration. Hydrogels, a class of hydrophilic polymers, have emerged as promising materials for wound dressings due to their biocompatibility, biodegradability, and ability to create a moist wound environment conducive to cell proliferation and migration. In this research, a hydrogel dressing containing cefdinir (Cef) was made from a combination of carboxymethyl cellulose (CMC) and gelatin (Gel) by a physical crosslinking method, and their physicochemical, mechanical, and biological properties were investigated. Results show that the addition of Cef does not cause a significant change in the morphology or the tensile strength of the wound dressing. The swelling and degradation rate of the hydrogel slightly increased in the presence of Cef. The presence of Cef enhanced antibacterial effects up to 2.5-fold against

Indexed as

carboxymethyl cellulosecefdinirgelatinhydrogelwound healing

Identifiers

PMID39852009
PMCPMC11765047

What OpenQuestion holds

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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.