Evidence map›Paper›PMID 42127323›Full record

ArticleACS applied materials & interfaces2026

Programming Degradation and Drug Release Through Micropatterning of PLGA Films.

Irene Guerriero, Cristiano Pesce, Raffaele Spanò, Stefania Sganga, Nicola Tirelli, Anna Lisa Palange, Daniele Di Mascolo, Paolo Decuzzi

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 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.

Irene GuerrieroLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.
Cristiano PesceLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.
Raffaele SpanòLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0002-2673-8164
Stefania SgangaLaboratory of Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0009-0002-2397-6164
Nicola TirelliLaboratory of Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0002-4879-3949
Anna Lisa PalangeLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.
Daniele Di MascoloLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0002-1422-5775
Paolo DecuzziLaboratory of Nanotechnology for Precision Medicine, Fondazione Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0001-6050-4188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymeric films enable spatial and temporal control of drug release, improving therapeutic efficacy while reducing systemic side effects. While most studies focus on polymer blends, copolymer design, or chemical modification, this work investigates how geometry alone regulates degradation and drug release in micropatterned films. To this end, we exploit the μMESH platform, a dual-compartmentalized film composed of regularly patterned poly(lactic-

Indexed as

Lactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerDrug LiberationPolyvinyl AlcoholSurface PropertiesLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerPolyvinyl Alcoholdegradationdrug diffusionerosionmicrogeometrythin film

Identifiers

PMID42127323
PMCPMC13220224

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.