Evidence map›Paper›PMID 35808591›Full record

ReviewPolymers2022

Polymers in Technologies of Additive and Inkjet Printing of Dosage Formulations.

Evgenia V Blynskaya, Sergey V Tishkov, Konstantin V Alekseev, Alexandre A Vetcher, Anna I Marakhova, Dovlet T Rejepov

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Evgenia V BlynskayaV. V. Zakusov Research Institute of Pharmacology, 8 Baltiyskaya St., 125315 Moscow, Russia.
Sergey V TishkovV. V. Zakusov Research Institute of Pharmacology, 8 Baltiyskaya St., 125315 Moscow, Russia.ORCID 0000-0002-8321-6952
Konstantin V AlekseevV. V. Zakusov Research Institute of Pharmacology, 8 Baltiyskaya St., 125315 Moscow, Russia.
Alexandre A VetcherInstitute of Biochemical Technology and Nanotechnology, Peoples' Friendship University of Russia (RUDN), 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0000-0002-4828-8571
Anna I MarakhovaInstitute of Biochemical Technology and Nanotechnology, Peoples' Friendship University of Russia (RUDN), 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Dovlet T RejepovInstitute of Biochemical Technology and Nanotechnology, Peoples' Friendship University of Russia (RUDN), 6 Miklukho-Maklaya St., 117198 Moscow, Russia.ORCID 0000-0003-3203-6676

Funding

RUDN RUDN University Strategic Academic Leadership Program
6 · The paper itself

Abstract

Technologies for obtaining dosage formulations (DF) for personalized therapy are currently being developed in the field of inkjet (2D) and 3D printing, which allows for the creation of DF using various methods, depending on the properties of pharmaceutical substances and the desired therapeutic effect. By combining these types of printing with smart polymers and special technological approaches, so-called 4D printed dosage formulations are obtained. This article discusses the main technological aspects and used excipients of a polymeric nature for obtaining 2D, 3D, 4D printed dosage formulations. Based on the literature data, the most widely used polymers, their properties, and application features are determined, and the technological characteristics of inkjet and additive 3D printing are shown. Conclusions are drawn about the key areas of development and the difficulties that arise in the search and implementation in the production of new materials and technologies for obtaining those dosage formulations.

Indexed as

2D printing3D printing4D printingadditive productiondosage formulationsinkjet printingpolymerssmart polymers

Identifiers

PMID35808591
PMCPMC9269197

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.