Evidence map›Paper›PMID 41902979›Full record

ReviewJournal of materials science. Materials in medicine2026

Harnessing biopolymeric double network hydrogels for cartilage repair: a review of current strategies.

Vahid Rahimkhoei, Yuksel Akinay, Ali Akbari, Aseel M Aljeboree, Forat H Alsultany, Masoud Salavati-Niasari

Abstract readReview
In one paragraph

Review in Journal of materials science. Materials in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Vahid RahimkhoeiSolid Tumor Research Center, Cellular and Molecular Research Medicine Institute, Urmia University of Medical Sciences, Urmia, Iran.
Yuksel AkinayDepartment of Engineering, Faculty of Mining Engineering, Van Yuzuncu Yil University, Van, Turkey.
Ali AkbariSolid Tumor Research Center, Cellular and Molecular Research Medicine Institute, Urmia University of Medical Sciences, Urmia, Iran. akbari.a@umsu.ac.ir.
Aseel M AljeboreeDepartment of Chemistry, College of Sciences for Girls, University of Babylon, Hilla, Iraq.
Forat H AlsultanyDepartment of Medical Physics, College of Sciences, Al-Mustaqbal University, Babylon, Iraq.
Masoud Salavati-NiasariInstitute of Nano Science and Nano Technology, University of Kashan, Kashan, Iran. salavati@kashanu.ac.ir.

Funding

University of Kashan 159271/VR5
6 · The paper itself

Abstract

Hydrogels with a double network (DN) structure that are based on carbohydrates have shown potential as scaffolds for the regeneration of cartilage. We postulate that these hydrogels can aid in the repair of cartilage and sustain the regeneration of tissue because of their ability to hold large quantities of water and large amounts of bioactive molecules. Some recent preclinical studieswith DN hydrogels that have been modified with growth factors, other biological molecules, and or therapeutic agents have shown enhanced growth of the cartilage tissue, hydration, and structural integrity of the tissue. In this review, we detail these advancements as potential carbohydrate-based double network hydrogels for the treatment of cartilage defects and osteoarthritis. Optimized DN hydrogels are tissue engineering scaffolds for cartilage regeneration, with the potential to translate to clinical practice.

Indexed as

CartilageCartilage, ArticularHydrogelsAnimalsBiocompatible MaterialsBiopolymersHumansOsteoarthritisRegenerationTissue EngineeringTissue ScaffoldsBiocompatible MaterialsBiopolymersHydrogels

Identifiers

PMID41902979
PMCPMC13043598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.