Evidence map›Paper›PMID 32582657›Full record

ReviewFrontiers in bioengineering and biotechnology2020

Functional Biomaterials for Treatment of Chronic Wound.

Xi Zhang, Wentao Shu, Qinghua Yu, Wenrui Qu, Yinan Wang, Rui Li

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Trial
  2. Review
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  4. The dual role of the microbiome in chronic wound management.Cell communication and signaling : CCS · 2026
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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.

Xi ZhangDepartment of Hand Surgery, The Second Hospital of Jilin University, Changchun, China.
Wentao ShuDepartment of Biobank, Division of Clinical Research, The First Hospital of Jilin University, Changchun, China.
Qinghua YuDepartment of Burn Surgery, The First Hospital of Jilin University, Changchun, China.
Wenrui QuDepartment of Hand Surgery, The Second Hospital of Jilin University, Changchun, China.
Yinan WangDepartment of Biobank, Division of Clinical Research, The First Hospital of Jilin University, Changchun, China.
Rui LiDepartment of Hand Surgery, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of patients with chronic wounds caused by diseases, such as diabetes, malignant tumors, infections, and vasculopathy, has caused severe economic and social burdens. The main clinical treatments for chronic wounds include the systemic use of antibiotics, changing dressings frequently, operative debridement, and flap repair. These routine therapeutic strategies are characterized by a long course of treatment, substantial trauma, and high costs, and fail to produce satisfactory results. Biomaterial dressings targeting the different stages of the pathophysiology of chronic wounds have become an active research topic in recent years. In this review, after providing an overview of the epidemiology of chronic wounds, and the pathophysiological characteristics of chronic wounds, we highlight the functional biomaterials that can enhance chronic wound healing through debridement, anti-infection and antioxidant effects, immunoregulation, angiogenesis, and extracellular matrix remodeling. It is hoped that functional biomaterials will resolve the treatment dilemma for chronic wounds and improve patient quality of life.

Indexed as

angiogenesisantioxidantchronic woundfunctional biomaterialsimmunoregulation

Identifiers

PMID32582657
PMCPMC7283526

What OpenQuestion holds

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LicenceCC BY
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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.