Evidence map›Paper›PMID 36432679›Full record

ArticlePharmaceutics2022

Novel Approach to Pharmaceutical 3D-Printing Omitting the Need for Filament-Investigation of Materials, Process, and Product Characteristics.

Thomas Pflieger, Rakesh Venkatesh, Markus Dachtler, Karin Eggenreich, Stefan Laufer, Dominique Lunter

Abstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Thomas PfliegerDigital Health Systems GmbH (DiHeSys), 73529 Schwaebisch Gmuend, Germany.
Rakesh VenkateshDigital Health Systems GmbH (DiHeSys), 73529 Schwaebisch Gmuend, Germany.
Markus DachtlerDigital Health Systems GmbH (DiHeSys), 73529 Schwaebisch Gmuend, Germany.
Karin EggenreichGen-Plus GmbH & Co., KG, 81477 Munich, Germany.
Stefan LauferPharmaceutical Chemistry, Eberhard Karls University, 72074 Tuebingen, Germany.ORCID 0000-0001-6952-1486
Dominique LunterPharmaceutical Technology, Eberhard Karls University, 72074 Tuebingen, Germany.ORCID 0000-0003-3984-4035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilized 3D printhead employs an innovative hot-melt extrusion (HME) design approach being fed by drug-loaded polymer granules and making filament strands obsolete. Oscillatory rheology is a key tool for understanding the behavior of a polymer melt in extrusion processes. In this study, small amplitude shear oscillatory (SAOS) rheology was applied to investigate formulations of model antihypertensive drug Metoprolol Succinate (MSN) in two carrier polymers for pharmaceutical three-dimensional printing (3DP). For a standardized printing process, the feeding polymers viscosity results were correlated to their printability and a better understanding of the 3DP extrudability of a pharmaceutical formulation was developed. It was found that the printing temperature is of fundamental importance, although it is limited by process parameters and the decomposition of the active pharmaceutical ingredients (API). Material characterization including differential scanning calorimetry (DSC) and thermogravimetric analyses (TGA) of the formulations were performed to evaluate component miscibility and ensure thermal durability. To assure the development of a printing process eligible for approval, all print runs were investigated for uniformity of mass and uniformity of dosage in accordance with the European Pharmacopoeia (Ph. Eur.).

Indexed as

hot-melt extrusion (HME)novel printhead designoscillatory rheologypharmaceutical three-dimensional printing (3DP)printability

Identifiers

PMID36432679
PMCPMC9695885

What OpenQuestion holds

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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.