Evidence map›Paper›PMID 42781300›Full record

ArticleInternational journal of pharmaceutics: X2026

FDM-based 4D printing of sustainable PVA-Cassava fibre composites: a programmable platform for smart gastroretentive drug delivery.

Pattaraporn Panraksa, Krit Sengtakdaed, Ploynapat Pornngam, Kittisak Jantanasakulwong, Bin Zhang, Claire-Hélène Brachais, Odile Chambin, Pensak Jantrawut

Abstract read
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Article in International journal of pharmaceutics: X, 2026. 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.

Pattaraporn PanraksaDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand.
Krit SengtakdaedDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand.
Ploynapat PornngamDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand.
Kittisak JantanasakulwongDivision of Packaging Technology, School of Agro-Industry, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai 50100, Thailand.
Bin ZhangDepartment of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge UB8 3PH, UK.
Claire-Hélène BrachaisLaboratoire Interdisciplinaire Carnot de Bourgogne (ICB), UMR 6303 CNRS, Université Bourgogne Europe, 9 avenue Alain Savary, 21078 Dijon, France.
Odile ChambinUniversité Bourgogne Europe, Institut Agro, INRAé UMR PAM joint unit, 1 Esplanade Erasme, 21000 Dijon, France.
Pensak JantrawutDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advancing paradigm of smart and sustainable healthcare, four-dimensional (4D) printing and sustainable polymer composites have attracted increasing interest in the development of advanced drug delivery systems. Incorporating agricultural waste-derived fibres into polymer composites provides a sustainable strategy for producing functional printing materials. In this study, we fabricated 4D-printed gastroretentive platforms by fused deposition modelling (FDM) using poly(vinyl alcohol) (PVA)-Cassava fibre composite filaments. The effects of increasing either Eudragit® NE 30 D or Cassava fibre content (up to 15%

Indexed as

4D printingFused deposition modellingGastroretentive drug deliveryNatural-fibre compositesProgrammable drug deliveryShape-memory polymers

Identifiers

PMID42781300
PMCPMC13598595

What OpenQuestion holds

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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.