Evidence map›Paper›PMID 35218447›Full record

ArticleOdontology2022

Irrigant flow characteristics in the root canal with internal root resorption: a computational fluid dynamics evaluation.

Elif Çiftçioğlu, Özgün Yücel, Vasfiye Işık, Ali Keleş, Mehmet Baybora Kayahan

Abstract read
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In one paragraph

Article in Odontology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Efficacy of different irrigation needles used in endodontics: anBiomaterial investigations in dentistry · 2025
    Article
  2. 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

5 authors.

Elif ÇiftçioğluDepartment of Endodontics, İstanbul Okan University Faculty of Dentistry, İstanbul, Turkey. elifcif@yahoo.com.ORCID http://orcid.org/0000-0002-2578-0168
Özgün YücelDepartment of Chemical Engineering, Gebze Technical University Faculty of Engineering, Kocaeli, Turkey.
Vasfiye IşıkDepartment of Endodontics, İstanbul Health and Technology University Faculty of Dentistry, İstanbul, Turkey.
Ali KeleşDepartment of Endodontics, Ondokuz Mayıs University Faculty of Dentistry, Samsun, Turkey.
Mehmet Baybora KayahanDepartment of Endodontics, İstanbul Health and Technology University Faculty of Dentistry, İstanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irrigation dynamics of syringe irrigation with different needle designs (side-vented, double side-vented, notched) and ultrasonic irrigation in the root canal with internal root resorption were evaluated using a computational fluid dynamics model. A micro-CT scanned mandibular premolar was used for modeling internal root resorption. The needles and the ultrasonic tip were positioned at 2, 4, and 5 mm from the working length. The insertion depth and the irrigation model were found influential on the shear stress and the irrigant extension. The extension of the irrigant increased toward 2-5 mm from the working length. Ultrasonic irrigation revealed the highest shear stress values regardless of the insertion depth. The shear stress distribution on the resorption cavity walls gradually increased when the needles were positioned coronally. The residence time of the irrigant in the canal was affected by the needle position relative to the internal root resorption cavity and the needle type.

Indexed as

HydrodynamicsRoot ResorptionDental Pulp CavityHumansRoot Canal IrrigantsRoot Canal PreparationTherapeutic IrrigationRoot Canal IrrigantsComputational fluid dynamicsInternal root resorptionIrrigationNeedlesUltrasonic irrigation

Identifiers

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.