Evidence map›Paper›PMID 41644929›Full record

ArticleDrug delivery and translational research2026

Design parameter effects on controlled drug delivery through implantable hydrogels.

Benita Jowell, Wenbo Zhan

Abstract read
In one paragraph

Article in Drug delivery and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Benita JowellSchool of Engineering, University of Aberdeen, Aberdeen, AB24 3UE, UK.
Wenbo ZhanSchool of Engineering, University of Aberdeen, Aberdeen, AB24 3UE, UK. w.zhan@abdn.ac.uk.ORCID http://orcid.org/0000-0003-0268-5042

Funding

Royal Society RGS\R2\242236
6 · The paper itself

Abstract

Glioblastoma recurrence after surgery is a major contributor to its high mortality, primarily occurring near the original tumour margin. Various hydrogels have been developed to fill the post-surgical cavity and deliver drugs to the surrounding brain tissue to eliminate residual cells. However, the impact of tissue, hydrogel, and drug properties on delivery outcomes remains unclear. Here, a parametric study is conducted to investigate these effects using mathematical modelling. The results show that post-surgical oedema strongly influences delivery: longer duration or delayed onset of oedema can homogenise drug distribution, with delayed onset yielding a larger and more sustained therapeutic drug volume. Hydrogels with higher permeability or lower drug affinity enhance early concentration and distribution but decline faster over time. Drugs with lower intracellular partitioning improve early efficacy, whereas those with stronger binding to cellular or extracellular components sustain delivery longer. Lower transvascular permeability and slower elimination further enhance outcomes, while extracellular diffusivity must be optimised to maximise drug concentration and distribution. These findings provide guidance for optimising hydrogel-based drug delivery systems to prevent glioblastoma recurrence.

Indexed as

Antineoplastic AgentsDrug Delivery SystemsGlioblastomaHydrogelsAnimalsBrain NeoplasmsDelayed-Action PreparationsDrug ImplantsHumansModels, BiologicalModels, TheoreticalPermeabilityAntineoplastic AgentsDelayed-Action PreparationsDrug ImplantsHydrogelsCancer recurrenceChemotherapyDrug transportHydrogelMathematical model

Identifiers

PMID41644929
PMCPMC13619669

What OpenQuestion holds

Textmetadata
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.