Evidence map›Paper›PMID 33738116›Full record

ArticleRegenerative biomaterials2021

Biological evaluations of decellularized extracellular matrix collagen microparticles prepared based on plant enzymes and aqueous two-phase method.

YaWen Liu, Ching-Cheng Huang, YuanYuan Wang, Jun Xu, GuoDing Wang, XinPeng Bai

Open access · goldAbstract read
In one paragraph

Article in Regenerative biomaterials, 2021. 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
1.4field-weighted citation impact, top 22% of its field
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, 19 citations in OpenAlex.

  1. Article
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  7. Recent advances in regenerative biomaterials.Regenerative biomaterials · 2022
    Review
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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 at 1 institution in 2 countries.

YaWen LiuEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
Ching-Cheng HuangEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
YuanYuan WangEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
Jun XuEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
GuoDing WangEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
XinPeng BaiEngineering Research Center of Utilization of Tropical Polysaccharide Resources, College of Food Science and Technology, Hainan University, Haikou, Hainan 570000, China.
Hainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For patients with extensive full-thickness burns who do not have sufficient autologous split-thickness skin for skin grafts, the application of biological skin substitutes may be considered. The aim of this study was to find an optimal new type method for the production of a biovital skin substitute based on acellular dermal matrix (ADM) and preclinical evaluations. In this work, 25 methods of ADM production were assessed. The proposed methods are based on the use of the following enzymes: papain,

Indexed as

acellular dermal matrixaqueous two-phase extractionCarica papaya lipasepapain

Identifiers

PMID33738116
PMCPMC7955711
OpenAlexW3138624028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.