Evidence map›Paper›PMID 42434469›Full record

ArticleACS materials Au2026

Patient-Specific Dual-Function 3D-Printed Gels for Antimicrobial and Analgesic Management of Alveolar Osteitis.

Mateo Dallos Ortega, Vahid Heravi Shargh, Jenny Aveyard, Mark Hunter, Alexander Ciupa, Raechelle A D'Sa

Abstract read
In one paragraph

Article in ACS materials Au, 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

6 authors.

Mateo Dallos OrtegaSchool of Engineering, University of Liverpool, Harrison Hughes Building, Brownlow Hill, Liverpool L69 3GH, U.K.
Vahid Heravi SharghSchool of Engineering, University of Liverpool, Harrison Hughes Building, Brownlow Hill, Liverpool L69 3GH, U.K.
Jenny AveyardSchool of Engineering, University of Liverpool, Harrison Hughes Building, Brownlow Hill, Liverpool L69 3GH, U.K.
Mark HunterSchool of Engineering, University of Liverpool, Harrison Hughes Building, Brownlow Hill, Liverpool L69 3GH, U.K.
Alexander CiupaMaterials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool L7 3NY, U.K.
Raechelle A D'SaSchool of Engineering, University of Liverpool, Harrison Hughes Building, Brownlow Hill, Liverpool L69 3GH, U.K.ORCID https://orcid.org/0000-0003-2651-8783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alveolar osteitis (AO), or dry socket, is a painful postoperative complication caused by the premature loss of the blood clot from the extraction site. Current treatments rely on irrigation and temporary dressings, however these approaches offer limited therapeutic benefits and often require repeated interventions. This work describes a customizable, dual-function biomaterials platform based on 3D-printed gelatin gels incorporating the antimicrobial quaternary ammonium compound, benzyldimethyldodecylammonium (BDMDAC), and the analgesic lidocaine enabling sustained infection control and localized pain management. 3D-printed gels were optimized for printability, mechanical stability, and controlled drug release, and their physicochemical properties were characterized through swelling, degradation, and release studies. Both hydrated and freeze-dried gels were evaluated to assess how architecture influences transport behavior and therapeutic performance. Antimicrobial efficacy was evaluated against clinically relevant oral pathogens, including

Indexed as

3D-printingalveolar osteitisantimicrobialbiomaterial inksgelatin gels

Identifiers

PMID42434469
PMCPMC13352265

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.