Evidence map›Paper›PMID 42152817›Full record

ReviewClinical, cosmetic and investigational dentistry2026

Nanoparticle-Assisted Endodontic Irrigation: A Systematic Review of Preclinical Studies.

Hashim Mueen Hussein, Ahmed Hamid Ali

Abstract readReview
In one paragraph

Review in Clinical, cosmetic and investigational dentistry, 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

2 authors.

Hashim Mueen HusseinAesthetic and Restorative Dentistry Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID 0000-0002-1981-2768
Ahmed Hamid AliAesthetic and Restorative Dentistry Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID 0000-0002-1083-9913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conventional root canal irrigants such as sodium hypochlorite (NaOCl) and ethylenediaminetetraacetic acid (EDTA) are widely used because of their antimicrobial and chelating properties; however, their effectiveness may be limited by biofilm resistance and complex root canal anatomy, and they may adversely affect dentin microstructure and regenerative potential. Objective: This systematic review evaluated preclinical evidence on nanoparticle-based endodontic irrigation with respect to antimicrobial and antibiofilm activity, dentin-related outcomes, and biocompatibility or regeneration-related effects. Methods: PubMed/MEDLINE and ScienceDirect were systematically searched for English-language studies published from January 2015 to December 2025 using the following Boolean strategy: ("Nanoparticles" OR "Nano-based") AND ("Root canal irrigant" OR "Antibiofilm") AND ("Dentin surface" OR "Biocompatibility"). Eligible studies were original preclinical investigations evaluating nanoparticle-assisted irrigation or disinfection in extracted human-tooth models. After screening 695 records against predefined eligibility criteria, 12 studies were included. Results: Compared with conventional irrigants, nanoparticle-based systems showed promising antibacterial and antibiofilm effects, particularly against Conclusion: Nanoparticle-assisted irrigation shows promising preclinical potential as an adjunct to conventional root canal disinfection. However, heterogeneity in study design and the absence of clinical evidence limit definitive conclusions and preclude routine clinical recommendations at present.

Indexed as

biocompatibilitybiofilmsdental disinfectantsdentinnanoparticlesroot canal irrigation

Identifiers

PMID42152817
PMCPMC13180361

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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.