Evidence map›Paper›PMID 36794104›Full record

ArticleIranian endodontic journal2019

Comparative Accuracy of Cone-Beam Computed Tomography and Clearing Technique in Studying Root Canal and Apical Morphology of Mandibular Canines.

Mandana Naseri, Zohreh Ahangari, Nastaran Bagheri, Sanaa Jabbari, Atefeh Gohari

Abstract read
In one paragraph

Article in Iranian endodontic journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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. Article
  3. Article
  4. Article
  5. Review
  6. Review
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.

Mandana NaseriDepartment of Endodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zohreh AhangariDepartment of Endodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nastaran BagheriPrivate Practice, Tehran, Iran.
Sanaa JabbariDepartment of Endodontics, School of Dentistry, Alborz University of Medical Sciences, Alborz, Iran.
Atefeh GohariDepartment of Endodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Knowledge about root canal anatomy improves the long-term prognosis of endodontic treatment. This study aimed to investigate the accuracy of cone-beam computed tomography (CBCT) in assessment of morphology of root canal and apex in mandibular canines compared with the clearing technique. Methods and Material: In this Results: Most (93.9%) canine teeth were Vertucci's type I, followed by type III configuration in both CBCT and clearing techniques. The results of both techniques were not in agreement for assessment of accessory canals, however acceptable agreement was noted between them for detection of apical delta and also assessment of apical foramen deviation in buccolingual and mesiodistal directions. Both of two techniques had excellent agreement for evaluating the distances from AF to AA, AC to AF and AC to AA. Conclusions: CBCT is a reliable tool in assessment of root canal and apical topography in mandibular canines, however its use in accessory canal detection is not recommended.

Indexed as

Canine ToothClearing TechniqueCone-Beam Computed TomographyTooth Apex

Identifiers

PMID36794104
PMCPMC9923409

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.