Evidence map›Paper›PMID 33106717›Full record

ArticleMaterials chemistry and physics2021

Review on 3D printing: Fight against COVID-19.

Bankole I Oladapo, Sikiru O Ismail, Temitope D Afolalu, David B Olawade, Mohsen Zahedi

Open access · greenAbstract read
In one paragraph

Article in Materials chemistry and physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 111 citations in OpenAlex.

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  17. 3D-Printed COVID-19 immunosensors with electronic readout.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2021
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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

5 authors at 5 institutions in 3 countries.

Bankole I OladapoSchool of Engineering and Sustainable Development, De Montfort University, Leicester, UK.
Sikiru O IsmailCenter for Engineering Research, School of Physics, Engineering and Computer Science, University of Hertfordshire, UK.
Temitope D AfolaluThe Queen Elizabeth Hospital King's Lynn NHS Foundation Trust, UK.
David B OlawadeDepartment of Environmental Health Sciences, University of Ibadan, Nigeria.
Mohsen ZahediDepartment of Computer Engineering, University of Isfahan, Iran.
De Montfort University · GBQueen Elizabeth Hospital King's Lynn NHS Foundation Trust · GBUniversity of Hertfordshire · GBUniversity of Ibadan · NGUniversity of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of coronavirus disease in 2019 (COVID-19) caused by the SARS-CoV-2 virus and its pandemic effects have created a demand for essential medical equipment. To date, there are no specific, clinically significant licensed drugs and vaccines available for COVID-19. Hence, mapping out COVID-19 problems and preventing the spread with relevant technology are very urgent. This study is a review of the work done till October, 2020 on solving COVID-19 with 3D printing. Many patients who need to be hospitalized because of COVID-19 can only survive on bio-macromolecules antiviral respiratory assistance and other medical devices. A bio-cellular face shield with relative comfortability made of bio-macromolecules polymerized polyvinyl chloride (BPVC) and other biomaterials are produced with 3D printers. Summarily, it was evident from this review study that additive manufacturing (AM) is a proffered technology for efficient production of an improved bio-macromolecules capable of significant COVID-19 test and personal protective equipment (PPE) to reduce the effect of COVID-19 on the world economy. Innovative AM applications can play an essential role to combat invisible killers (COVID-19) and its hydra-headed pandemic effects on humans, economics and society.

Indexed as

Additive manufacturing/3D printingCOVID-19 pandemicHealthMedical devicesPPE

Identifiers

PMID33106717
PMCPMC7578746
OpenAlexW3093735148

What OpenQuestion holds

Textmetadata
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.