Evidence map›Paper›PMID 42842116›Full record

ArticleThe Saudi dental journal2026

Cone-beam computed tomography analysis of root canal morphology in primary mandibular molars: a retrospective study with clinical implications for pediatric endodontics.

Yifan Chen, Hai Ming Wong, Kun Wang, Cheng Li, Juan Liu, Ni Zhou

Abstract read
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Article in The Saudi dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Yifan ChenSchool and Hospital of Stomatology, Kunming Medical University, Block C, No. 1088 Haiyuan Middle Road, High-tech Zone, Kunming, China.
Hai Ming WongUniversity of Hong Kong, Hong Kong, China.
Kun WangSchool and Hospital of Stomatology, Kunming Medical University, Block C, No. 1088 Haiyuan Middle Road, High-tech Zone, Kunming, China.
Cheng LiSchool and Hospital of Stomatology, Kunming Medical University, Block C, No. 1088 Haiyuan Middle Road, High-tech Zone, Kunming, China.
Juan LiuSchool and Hospital of Stomatology, Kunming Medical University, Block C, No. 1088 Haiyuan Middle Road, High-tech Zone, Kunming, China.
Ni ZhouUniversity of Hong Kong, Hong Kong, China. nizhou@hku.hk.ORCID http://orcid.org/0000-0002-2505-1280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study aims to evaluate the root canal morphology (RCM) of mandibular primary molars using cone-beam computed tomography (CBCT) imaging. The participants were pediatric patients who received CBCT examinations at a public hospital during their dental visits. Information regarding children's age and gender was pooled from the dental records. Root canal counts, root counts, root length, and orifice distribution patterns of the eligible mandibular primary molars were analyzed by two calibrated pediatric dentists. A total of 398 mandibular primary molars were identified from 117 children. These molars had 2 to 4 roots. Two roots were observed among 88.59% of first primary molars (Ds) and 77.57% of second primary molars (Es). Three canals were most frequently observed among first mandibular primary molars, whereas the second mandibular molars predominantly had four canals. Boys had longer mesial roots than girls (p = 0.003). Molars with 5 canals presented with longer distal roots (9.08 ± 0.68) than molars with two canals (6.63 ± 0.83, adjusted p = 0.003) or three canals (7.50 ± 1.31, adjusted p = 0.049). Canal count was associated with tooth type (p < 0.001), root count (p < 0.001), and orifice distribution pattern (p < 0.001). Diverse RCMs were observed among mandibular primary molars. Clinicians should be aware that mandibular second primary molars, particularly those with ≥ 3 roots, or with trapezoidal or rectangular orifice distribution patterns, are at high risk for missed canals during pulpectomy, as they are likely to have four or more canals.

Indexed as

CBCTOrifice configurationPrimary molarsRoot canalRoot length

Identifiers

PMID42842116
PMCPMC13646235

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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.