Evidence map›Paper›PMID 35865362›Full record

ReviewJournal of materials research and technology

Additive manufacturing against the Covid-19 pandemic: a technological model for the adaptability and networking.

Henry A Colorado, David E Mendoza, Hua-Tay Lin, Elkin Gutierrez-Velasquez

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of materials research and technology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

4 authors.

Henry A ColoradoCCComposites Laboratory, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia.
David E MendozaCCComposites Laboratory, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia.
Hua-Tay LinSchool of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China.
Elkin Gutierrez-VelasquezFaculty of Mechanical, Electronic and Biomedical Engineering (FIMEB), Universidad Antonio Nariño. Medellin, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This investigation analyzes the main contributions that additive manufacturing (AM) technology provides to the world in fighting against the pandemic COVID-19 from a materials and applications perspective. With this aim, different sources, which include academic reports, initiatives, and industrial companies, have been systematically analyzed. The AM technology applications include protective masks, mechanical ventilator parts, social distancing signage, and parts for detection and disinfection equipment (Ju, 2020). There is a substantially increased number of contributions from AM technology to this global issue, which is expected to continuously increase until a sound solution is found. The materials and manufacturing technologies in addition to the current challenges and opportunities were analyzed as well. These contributions came from a lot of countries, which can be used as a future model to work in massive collaboration, technology networking, and adaptability, all lined up to provide potential solutions for some of the biggest challenges the human society might face in the future.

Indexed as

3D printingAdditive manufacturingCoronavirusCovid-19

Identifiers

PMID35865362
PMCPMC8686453

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.