Evidence map›Paper›PMID 41571911›Full record

ReviewDrug delivery and translational research2026

Clinical translation of injectable hydrogels: from bioactive polymers to long-acting drug delivery systems.

Natalia Carballo-Pedrares, Virna Margarita Martín Giménez, María José Alonso

Abstract readReview
In one paragraph

Review 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  3. SingleInternational journal of oncology · 2026
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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

3 authors.

Natalia Carballo-PedraresCenter for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.ORCID 0000-0001-7161-5027
Virna Margarita Martín GiménezCenter for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.ORCID 0000-0003-2188-977X
María José AlonsoCenter for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain. mariaj.alonso@usc.es.ORCID 0000-0001-7187-9567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Injectable hydrogels (IHs) have emerged as versatile biomaterials that enable localized therapy through minimally invasive delivery. Their in situ sol-gel transition supports sustained and targeted release of therapeutics, enhancing patient comfort and reducing dosing frequency. However, clinical translation remains limited due to challenges in achieving controlled degradation, ensuring long-term biocompatibility, scaling production, and meeting regulatory standards. Despite these hurdles, several IH-based formulations are progressing through clinical trials or have reached the market, underscoring their therapeutic potential. This review examines the major translational barriers and highlights recent advances that are accelerating the adoption of IHs in precision and personalized medicine.

Indexed as

Drug Delivery SystemsHydrogelsPolymersAnimalsBiocompatible MaterialsDelayed-Action PreparationsHumansInjectionsPrecision MedicineTranslational Research, BiomedicalBiocompatible MaterialsDelayed-Action PreparationsHydrogelsPolymersBiomaterialsClinical translationDrug delivery systemsInjectable hydrogelsPersonalized medicine

Identifiers

PMID41571911
PMCPMC13183726

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.