Evidence map›Paper›PMID 39810852›Full record

ReviewResearch (Washington, D.C.)2025

Recent Advances in Asymmetric Wettability Dressings for Wound Exudate Management.

Fang Wang, Wenqing He, Bing Dai, Xueji Zhang, Yongqiang Wen

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Electric-based dressing for wound management.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

5 authors.

Fang WangGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, P. R. China.
Wenqing HeGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, P. R. China.
Bing DaiGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, P. R. China.ORCID https://orcid.org/0000-0003-4924-6792
Xueji ZhangGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, P. R. China.
Yongqiang WenSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of wound exudate is of vital importance for wound healing. Exudate accumulation around wound prolongs inflammation and hinders healing. Although traditional dressings can absorb wound exudate, they are unable to drain exudate in time, often resulting in a poor feature with wound healing. In recent years, the appearance of asymmetric wettability dressings has shown great potential in exudate management. Here, we summarize the latest progress of 3 kinds of asymmetric wettability wound dressings in exudate management, including Janus structure, sandwich structure, and gradient structure. The most common Janus structural dressing among asymmetric wettability dressings is highlighted from 2 aspects: single-layer modified Janus structure and double-layer Janus structure. The challenges faced by asymmetric wettability wound dressings are discussed, and the developing trends of smart wound dressings in this field are prospected.

Identifiers

PMID39810852
PMCPMC11729271

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.