Evidence map›Paper›PMID 41167782›Full record

ReviewZhonghua shao shang yu chuang mian xiu fu za zhi2025

[Researches and clinical translation of smart dressings].

G Z Lyu, P Zhao

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

G Z LyuEngineering Research Center of the Ministry of Education for Wound Repair Technology of Jiangnan University, Burn and Trauma Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi 214122, China.
P ZhaoEngineering Research Center of the Ministry of Education for Wound Repair Technology of Jiangnan University, Burn and Trauma Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi 214122, China.

Funding

Clinical Frontier Technology Program of Social Development of Science and Technology Agency of Jiangsu Province of China BE2018626National Key Research and Development Program of China 2022YFC3006200
6 · The paper itself

Abstract

The research and application of smart dressings are a focal point in fields such as burn and wound repair. Breakthroughs in miniaturized electronic components, fiber optics and wireless communication technologies, and flexible circuit, and the research and development of novel biomaterials have laid foundation for the development and application of smart dressings. Real-time, rapid-response, multifunctional smart dressings are emerging, showing great potential in aspects such as early detection of wound infections, assessment of inflammatory responses, monitoring changes in wound characteristics, and estimating wound healing direction and duration. They also provide opportunities for precise and controlled local drug delivery to wounds and microcurrent stimulation therapy. This article introduces the classification, research progress, and clinical trials of smart dressings, and analyzes the functions, advantages, and limitations of sensor-based smart dressings by categorizing them into active and passive types. Additionally, this article introduces three types of broadly defined, non-sensor-based smart dressings that can identify changes in specific wound parameters and respond accordingly such as changing color, releasing drugs, or exhibiting microcurrent. Based on this, the article also provides an outlook on the future of smart dressings.

Indexed as

BandagesBurnsDrug Delivery SystemsHumansTranslational Research, BiomedicalWound Healing

Identifiers

PMID41167782
PMCPMC12580026

What OpenQuestion holds

Textmetadata
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.