Evidence map›Paper›PMID 33732967›Full record

ArticleBioactive materials2021

Development of a polycaprolactone/poly(

Fan Zhao, Jing Sun, Wen Xue, Fujun Wang, Martin W King, Chenglong Yu, Yongjie Jiao, Kun Sun, Lu Wang

Open access · goldAbstract read
In one paragraph

Article in Bioactive materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 35 citations in OpenAlex.

  1. An evaluation of the effectiveness of 'ULTRACOL 200' in enhancing nasolabial fold wrinkles through cutaneous repair.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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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

9 authors at 3 institutions in 2 countries.

Fan ZhaoCollege of Textiles, Donghua University, Shanghai, 201620, China.
Jing SunDepartment of Pediatric Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Wen XueCollege of Textiles, Donghua University, Shanghai, 201620, China.
Fujun WangCollege of Textiles, Donghua University, Shanghai, 201620, China.
Martin W KingWilson College of Textiles, North Carolina State University, Raleigh, 27606, USA.
Chenglong YuCollege of Textiles, Donghua University, Shanghai, 201620, China.
Yongjie JiaoCollege of Textiles, Donghua University, Shanghai, 201620, China.
Kun SunDepartment of Pediatric Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Lu WangCollege of Textiles, Donghua University, Shanghai, 201620, China.
Donghua University · CNNorth Carolina State University · USShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in bioresorbable stents (BRSs) has provided a promising alternative for treating coronary artery disease. However, there is still lack of BRSs with satisfied compression and degradation performance for pediatric patients with congenital heart disease, leading to suboptimal therapy effects. Here, we developed a mechanically self-reinforced composite bioresorbable stent (cBRS) for congenital heart disease application. The cBRS consisted of poly(

Indexed as

BioresorbableBraided technologyCardiovascular stentCongenital heart diseaseThermal treatment

Identifiers

PMID33732967
PMCPMC7930591
OpenAlexW3134806289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.