Evidence map›Paper›PMID 38935196›Full record

ArticleOdontology2025

Classifying the internal anatomy of anterior teeth in the Yemeni population using two systems: a retrospective CBCT study.

Ashraf Mohammed Alhumaidi, Mubashir Baig Mirza, Mohmed Isaqali Karobari, Mohammed Ali Abuelqomsan, Qamar Hashem, Mona Tariq Aldaijy, Nasser Yahya Albarr, Reem Tariq Aldaijy, Mohammed Al Moaleem

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Article in Odontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

9 authors.

Ashraf Mohammed AlhumaidiFaculty of Dentistry, Ibn Al-Nafis University for Medical Sciences, Sanaa, Yemen.
Mubashir Baig MirzaConservative Dental Science Department, College of Dentistry, Prince Sattam bin Abdulaziz University, Dilam Road, Al-Kharj, 11942, Riyadh, Kingdom of Saudi Arabia. m.mirza@psau.edu.sa.ORCID http://orcid.org/0000-0003-2875-1191
Mohmed Isaqali KarobariDental Research Unit, Centre for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Mohammed Ali AbuelqomsanConservative Dental Science Department, College of Dentistry, Prince Sattam bin Abdulaziz University, Dilam Road, Al-Kharj, 11942, Riyadh, Kingdom of Saudi Arabia.
Qamar HashemConservative Dental Science Department, College of Dentistry, Prince Sattam bin Abdulaziz University, Dilam Road, Al-Kharj, 11942, Riyadh, Kingdom of Saudi Arabia.
Mona Tariq AldaijyRestorative Dentistry, Ministry of Health, Riyadh, Saudi Arabia.
Nasser Yahya AlbarrRestorative Dentistry, Ministry of Health, Riyadh, Saudi Arabia.
Reem Tariq AldaijyRestorative Dentistry, Ministry of Health, Riyadh, Saudi Arabia.
Mohammed Al MoaleemDepartment of Prosthetic Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A precursor for effective root canal treatment (RCT) is a complete understanding of the internal anatomy of teeth. In this study, the authors aimed to classify the root canal morphology of anterior teeth in the Yemeni population and identify gender-based variations among them. In addition, the symmetry among adjacent quadrants was also evaluated. Cone beam computed tomography (CBCT) scans of 2935 anterior teeth, 1502 maxillary, and 1433 mandibular were analyzed for root canal morphology and symmetry. Comparison between groups and among different genders was done using the Chi-square test. All the maxillary teeth were single-rooted and had a predominantly

Indexed as

Cone-Beam Computed TomographyAdultDental Pulp CavityFemaleHumansIncisorMaleMaxillaRetrospective StudiesYemenCaninesClassificationIncisorsMandibleMaxillaRoot canal morphologyYemen

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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.