Evidence map›Paper›PMID 38444512›Full record

ReviewHeliyon2024

Future trends of additive manufacturing in medical applications: An overview.

Jorge L Amaya-Rivas, Bryan S Perero, Carlos G Helguero, Jorge L Hurel, Juan M Peralta, Francisca A Flores, José D Alvarado

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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

7 authors.

Jorge L Amaya-RivasAdvanced Manufacturing and Prototyping Laboratory (CAMPRO), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
Bryan S PereroFaculty of Mechanical Engineering and Production Sciences (FIMCP), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
Carlos G HelgueroAdvanced Manufacturing and Prototyping Laboratory (CAMPRO), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
Jorge L HurelFaculty of Mechanical Engineering and Production Sciences (FIMCP), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
Juan M PeraltaFaculty of Mechanical Engineering and Production Sciences (FIMCP), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
Francisca A FloresFaculty of Natural Sciences and Mathematics (FCNM), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.
José D AlvaradoFaculty of Mechanical Engineering and Production Sciences (FIMCP), ESPOL Polytechnic University, Km 30.5 Vía Perimetral, P.O. Box: 09-01-5863, Guayaquil, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive Manufacturing (AM) has recently demonstrated significant medical progress. Due to advancements in materials and methodologies, various processes have been developed to cater to the medical sector's requirements, including bioprinting and 4D, 5D, and 6D printing. However, only a few studies have captured these emerging trends and their medical applications. Therefore, this overview presents an analysis of the advancements and achievements obtained in AM for the medical industry, focusing on the principal trends identified in the annual report of AM3DP.

Indexed as

3D printing4D printing5D printing6D printingAdditive manufacturingBioprinting

Identifiers

PMID38444512
PMCPMC10912264

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.