Evidence map›Paper›PMID 28179930›Full record

ArticleIranian endodontic journal2017

Root Canal Morphology of Mandibular Canine in an Iranian Population: A CBCT Assessment.

Ali Soleymani, Nafiseh Namaryan, Ehsan Moudi, Ali Gholinia

Abstract read
In one paragraph

Article in Iranian endodontic journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Root Canal Morphology and Configuration of the Mandibular Canine: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Review
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  6. Analysis of Root Canal Characteristics in Permanent Canine Teeth Among 270 Saudi Subjects: A Cone-Beam Computed Tomography Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
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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

4 authors.

Ali SoleymaniDepartment of Dentistry, Babol University of Medical Sciences, Babol, Iran.
Nafiseh NamaryanDepartment of Dentistry, Babol University of Medical Sciences, Babol, Iran.
Ehsan MoudiDepartment of Dentistry, Babol University of Medical Sciences, Babol, Iran.
Ali GholiniaDepartment of Dentistry, Babol University of Medical Sciences, Babol, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe present study was conducted to assess the morphology of mandibular canines using cone-beam computed tomography (CBCT) in a north Iranian population. METHODS AND MATERIALS: For the morphological assessment of mandibular canines, 150 CBCT images taken from patients for different reasons were used. The mandibular canines were examined in sagittal, coronal and axial dimensions. The canal pattern, number of roots/canals, the tooth length, the orientation of the roots and the position of the apical foramina were evaluated and the effect of gender on each variable was assessed. The obtained data were analyzed using the Chi-square and student's t-tests.

resultsAccording to the Vertucci's criteria, the most common pattern was type I morphology (89.7%), followed by types III (5.7%), II (3.7%) and V (1%). No significant differences were observed between the male and female patients in terms of canal type (

conclusionDue the diverse morphology and the potential presence of a second mandibular canine among Iranians, dentists should perform endodontic treatments with greater care. CBCT is an accurate tool for the morphological assessment of root canals.

Indexed as

CanineCone-Beam Computed TomographyRoot Canals

Identifiers

PMID28179930
PMCPMC5282385

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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.