Evidence map›Paper›PMID 33219243›Full record

ArticleScientific reports2020

Preclinical studies of non-stick thin film metallic glass-coated syringe needles.

Meng-Yi Bai, Ya-Chu Chang, Jinn P Chu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Meng-Yi BaiGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec.4, Da'an Dist., Taipei City, 10607, Taiwan. mybai@mail.ntust.edu.tw.
Ya-Chu ChangDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec.4, Da'an Dist., Taipei City, 10607, Taiwan.
Jinn P ChuDepartment of Materials Science and Engineering, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec.4, Da'an Dist., Taipei City, 10607, Taiwan. jpchu@mail.ntust.edu.tw.
National Taiwan University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our objective in this study was to determine the biocompatibility and hemocompatibility of thin film metallic glass (TFMG) and its potential use in hypodermic needles for intramuscular or intravenous injection. Mouse and rabbit models were employed under approval from the Institutional Animal Care and Use Committee (n = 5/group, two groups in total for both animal models). Platelet-rich plasma (PRP) was collected from the whole blood of rabbits (ear vein) without anti-coagulant for use in in vitro coagulation tests. Histological analysis and optical microscopy were used to assess the endothelial structure of the inner lining of veins after being punctured with needles and detained for 3 days. Histological analysis of ear vein sections revealed that the extent of endothelial damage after puncturing with a TFMG-coated needle was 33% less than that produced by bare needles. Our results confirm that the deposition of a thin TFMG layer (e.g., Zr

Indexed as

Materials Testing3T3 CellsAnimalsBlood CoagulationCell AdhesionCoated Materials, BiocompatibleEndothelium, VascularEquipment DesignGlassInjections, IntramuscularInjections, IntravenousMaleMetal NanoparticlesMiceModels, AnimalNeedlesCoated Materials, Biocompatible

Identifiers

PMID33219243
PMCPMC7679377
OpenAlexW3102259537

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.