Evidence map›Paper›PMID 30961247›Full record

ArticlePolymers2018

Mechanical Properties of Polypropylene Warp-Knitted Hernia Repair Mesh with Different Pull Densities.

Wanli Xu, Pibo Ma, Gaoming Jiang, Ailan Wan

Abstract read
In one paragraph

Article in Polymers, 2018. 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. Article
  2. Article
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

4 authors.

Wanli XuEngineering Research Center for Knitting Technology, Ministry of Education, College of Textile and Clothing, Jiangnan University, Wuxi 214122, China. wanlixu180509@163.com.
Pibo MaEngineering Research Center for Knitting Technology, Ministry of Education, College of Textile and Clothing, Jiangnan University, Wuxi 214122, China. mapibo@jiangnan.edu.cn.ORCID 0000-0003-1450-9345
Gaoming JiangEngineering Research Center for Knitting Technology, Ministry of Education, College of Textile and Clothing, Jiangnan University, Wuxi 214122, China. jgm@jiangnan.edu.cn.
Ailan WanEngineering Research Center for Knitting Technology, Ministry of Education, College of Textile and Clothing, Jiangnan University, Wuxi 214122, China. ailanwan@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The medical polypropylene monofilament with a diameter of 0.10 mm was used as the material. Four different pull densities and two different warp run-ins were set up on the electronic traverse high-speed Tricot warp knitting machine, with the gauge of E28. The raw material was used to knit four variations of single bar plain knitted fabrics with 1 in-1 miss setting. Each variation required eight samples. The mechanical properties of the above 32 warp-knitted fabric samples are tested, including their tensile stress (in both vertical and horizontal directions), tearing stress (in both vertical and horizontal directions) and bursting stress. The results obtained shows that the relationship between the vertical, the horizontal stress, and the pull density are not monotonic. The tensile stress in the vertical direction firstly decreases and then increases with an increase of the pull density; however, the tensile stress in the horizontal direction firstly increases and then slightly decreases with an increase of the pull density; again the vertical tensile stress of all fabrics was always higher than the horizontal tensile stress. The bursting stress has a positive linear relation to the pull density. The vertical tearing stresses of four samples were greater than the horizontal tearing stress.

Indexed as

hernia repair meshmechanical propertiespull densitystresswarp-knitted fabric

Identifiers

PMID30961247
PMCPMC6401736

What OpenQuestion holds

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LicenceCC BY
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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.