Evidence map›Paper›PMID 33114730›Full record

ArticlePharmaceutics2020

Application of Dominance-Based Rough Set Approach for Optimization of Pellets Tableting Process.

Maciej Karolak, Łukasz Pałkowski, Bartłomiej Kubiak, Jerzy Błaszczyński, Rafał Łunio, Wiesław Sawicki, Roman Słowiński, Jerzy Krysiński

Abstract read
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In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maciej KarolakDepartment of Pharmaceutical Technology, Collegium Medicum, Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.
Łukasz PałkowskiDepartment of Pharmaceutical Technology, Collegium Medicum, Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.
Bartłomiej KubiakAdamed Pharma S.A., Pieńków, 05-152 Czosnów, Poland.
Jerzy BłaszczyńskiInstitute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland.
Rafał ŁunioPolpharma SA, 83-200 Starogard Gdański, Poland.
Wiesław SawickiDepartment of Physical Chemistry, Medical University of Gdańsk, 80-416 Gdańsk, Poland.
Roman SłowińskiInstitute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland.
Jerzy KrysińskiDepartment of Pharmaceutical Technology, Collegium Medicum, Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple-unit pellet systems (MUPS) offer many advantages over conventional solid dosage forms both for the manufacturers and patients. Coated pellets can be efficiently compressed into MUPS in classic tableting process and enable controlled release of active pharmaceutical ingredient (APIs). For patients MUPS are divisible without affecting drug release and convenient to swallow. However, maintaining API release profile during the compression process can be a challenge. The aim of this work was to explore and discover relationships between data describing: composition, properties, process parameters (condition attributes) and quality (decision attribute, expressed as similarity factor f

Indexed as

data miningDRSAknowledge discoverymachine learningmultiple-unit pellet systempharmaceutical technologytablets

Identifiers

PMID33114730
PMCPMC7692369

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Registered trials

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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.