Evidence map›Paper›PMID 41389357›Full record

ArticleLasers in medical science2025

Comparative analysis of laser and ultrasonic irrigation techniques for smear layer removal in endodontics.

Muhammad Mahmoud Abaza, Tarek Abdel Hamid Harhash, Ahmed Abbas Zaky

Abstract readComparative Study
In one paragraph

Article in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Muhammad Mahmoud AbazaMedical Laser Applications Department, National Institute of Enhanced Laser Sciences, Cairo University, Giza, Egypt. dr.m3.abaza@hotmail.com.
Tarek Abdel Hamid HarhashMedical Laser Applications Department, National Institute of Enhanced Laser Sciences, Cairo University, Giza, Egypt.
Ahmed Abbas ZakyMedical Laser Applications Department, National Institute of Enhanced Laser Sciences, Cairo University, Giza, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis in vitro study compared the efficacy of Er, Cr: YSGG laser (2780 nm), diode laser (976 nm), passive ultrasonic irrigation (PUI), and conventional syringe-needle (CSN) irrigation in smear layer removal, evaluating irrigant chemistry and root canal level.

methods160 single-rooted premolars were instrumented and divided into four irrigation groups (n = 40/group): Er, Cr: YSGG (25 mJ, 50 Hz, radial-firing tip), diode laser (Pulsed 50%, 1.5 W), PUI, and CSN (side-vented needle). Groups were subdivided by irrigant (NaOCl + EDTA, EDTA, NaOCl, saline; n = 10/subgroup). Activation involved four 15-second cycles. Smear layer was scored (1-5) via SEM by blinded evaluators. Data were analyzed with Kruskal-Wallis and Mann-Whitney tests (p ≤ 0.05).

resultsEr, Cr: YSGG achieved the lowest scores (best cleaning) across all thirds, outperforming diode laser, PUI, and CSN. NaOCl + EDTA was the most effective irrigant (p < 0.05). Remarkably, saline with Er, Cr: YSGG surpassed NaOCl alone. Apical thirds showed consistently poorer removal.

conclusionEr, Cr: YSGG laser activation with NaOCl + EDTA is the most effective protocol for smear layer removal. The powerful mechanical effects of Er, Cr: YSGG dominated when using saline. Diode laser activation also surpassed PUI.

Indexed as

EndodonticsLasers, SemiconductorLasers, Solid-StateRoot Canal PreparationSmear LayerTherapeutic IrrigationUltrasonic TherapyEdetic AcidHumansIn Vitro TechniquesRoot Canal IrrigantsSodium HypochloriteEdetic AcidRoot Canal IrrigantsSodium HypochloriteCr:YSGG laserDiode laserErLaser-activated irrigationRadial firing tipSmear layer removal

Identifiers

PMID41389357
PMCPMC12701868

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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.