Evidence map›Paper›PMID 42318339›Full record

ReviewFrontiers in pharmacology2026

Review of recent advances in chitosan- and hyaluronic-acid-based wound dressings: fabrication, application, and types.

Ling Li, Chunying Ma, Xiangyu Wu, Yunxin Han, Tanwenchen Wang, Zhensheng Li

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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.

Ling LiCollege of Science, Hainan Tropical Ocean University, Sanya, China.
Chunying MaDepartment of New Drug Research and Development, Institute of Materia Medical, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiangyu WuCollege of Science, Hainan Tropical Ocean University, Sanya, China.
Yunxin HanCollege of Science, Hainan Tropical Ocean University, Sanya, China.
Tanwenchen WangCollege of Science, Hainan Tropical Ocean University, Sanya, China.
Zhensheng LiCollege of Science, Hainan Tropical Ocean University, Sanya, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the enormous scale of the global wound dressing market, optimized wound dressings have tremendous market prospects. Chitosan (CS) shows excellent antibacterial and hemostatic activity, and hyaluronic acid (HA) has good biocompatibility, hygroscopicity, and anti-inflammatory activity. For these reasons, both are widely used as wound dressings. In this review, we systematically discuss the characteristics, bioactivities, and commercial wound healing products involving CS and HA. Their limitations, including the low water solubility of CS, instability of HA, and molecular weight (MW)-dependent anti-inflammatory activity of HA, are also outlined. Several chemically modified CS derivatives with enhanced water solubility are discussed. We summarized modified HAs and their stability, finding that mixtures of HAs with different MWs reconcile the opposing effects of low- and high-MW HAs in inflammation and angiogenesis. Moreover, we highlight several types of CS- and HA-based wound dressings, including hydrogels, nanofibers, films, sponges, and scaffolds. Their fabrication and crosslinking methods are introduced in detail, and several limitations of preparation methods and clinical applications are discussed. Finally, we discuss the challenges associated with the clinical translation of wound dressings and possible improvements.

Indexed as

chitosanfilmhyaluronic acidhydrogelnanofiberscaffoldspongewound healing

Identifiers

PMID42318339
PMCPMC13272365

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.