Evidence map›Paper›PMID 37959986›Full record

ReviewPolymers2023

Reverse Engineering and 3D Printing of Medical Devices for Drug Delivery and Drug-Embedded Anatomic Implants.

Anusha Elumalai, Yash Nayak, Aravinda K Ganapathy, David Chen, Karthik Tappa, Udayabhanu Jammalamadaka, Grace Bishop, David H Ballard

Abstract readReview
In one paragraph

Review in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Formulating biopharmaceuticals using three-dimensional printing.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024
    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

8 authors.

Anusha Elumalai3D Printing Lab, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Yash Nayak3D Printing Lab, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0009-0008-6356-0263
Aravinda K Ganapathy3D Printing Lab, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-9023-1683
David Chen3D Printing Lab, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0003-1858-7201
Karthik TappaDepartment of Breast Imaging, Division of Diagnostic Imaging, The University of Texas, 7000 Fannin Street, Houston, TX 77030, USA.ORCID 0000-0002-9857-8665
Udayabhanu JammalamadakaBiomaterials Lab, Rice University, 6100 Main St., Houston, TX 77005, USA.ORCID 0000-0002-2913-0031
Grace BishopMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0001-7470-3364

Funding

Training OPportunities in Translational Imaging Education and Research (TOP-TIER)T32EB021955 · NIBIB · WASHINGTON UNIVERSITY · PI Hongyu An, Joseph Edward Ippolito · 2017 to 2026
$2.4M
NIBIB NIH HHS T32 EB021955
6 · The paper itself

Abstract

In recent years, 3D printing (3DP) has advanced traditional medical treatments. This review explores the fusion of reverse engineering and 3D printing of medical implants, with a specific focus on drug delivery applications. The potential for 3D printing technology to create patient-specific implants and intricate anatomical models is discussed, along with its ability to address challenges in medical treatment. The article summarizes the current landscape, challenges, benefits, and emerging trends of using 3D-printed formulations for medical implantation and drug delivery purposes.

Indexed as

3D printingdrug deliveryhealthcareimplantsmedical applicationsreverse engineering

Identifiers

PMID37959986
PMCPMC10647997

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.