Evidence map›Paper›PMID 41116878›Full record

ArticleInternational journal of dentistry2025

Artificial Intelligence-Assisted Longitudinal Analysis Reveals a Novel Rare Fainting Wisdom Tooth Phenomenon in Fully Dentate Mandibles.

Rellyca Sola Gracea, Shivi Chopra, Peter Östgren, Daniel Benchimol, Reinhilde Jacobs

Abstract read
In one paragraph

Article in International journal of dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rellyca Sola GraceaOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3940-0891
Shivi ChopraDepartment of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0000-3923-4080
Peter ÖstgrenDepartment of Oral and Maxillofacial Radiology, Folktandvården Stockholm, Stockholm, Sweden.
Daniel BenchimolDepartment of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-2329-7591
Reinhilde JacobsOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3461-0363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to characterise the rare 'fainting wisdom tooth' phenomenon, defined as the angular transition of a mandibular wisdom tooth from an initially upright position to mesial or horizontal inclination during adolescence in fully dentate mandibles. Materials and Methods: A retrospective longitudinal analysis was conducted using panoramic radiographs from a pooled database of 11,932 patients. Fifty cases of fainting wisdom teeth (0.4% prevalence) were identified using a validated deep learning (DL) convolutional neural network (CNN)-based artificial intelligence (AI) tool and compared to 50 matched controls with vertically erupted wisdom teeth. Radiographic variables were measured at two time points: T1 (ages 8-15) and T2 (ages 16-23). Angular changes and anatomical features, including space/crown width ratio, tooth depth, proximity to the second molar and mandibular canal, cemento-enamel junction (CEJ)/apical width ratio and gonial angle, were assessed. Logistic regression was used to determine predictive factors associated with the fainting phenomenon, with results reported as odds ratios (ORs). Results: Fainting wisdom teeth showed a significant angular shift from a median of 29° at T1 to 83° at T2, while controls showed minimal change. Logistic regression identified tooth depth as the strongest predictor (OR = 0.1, Conclusion: This is the first study to describe and analyse the rare fainting wisdom tooth phenomenon using AI-assisted longitudinal analysis of panoramic radiographs. The findings suggest that early tooth positioning and surrounding anatomical constraints may interfere with vertical eruption and increase the risk of fainting.

Indexed as

artificial intelligencemandiblepanoramic radiographthird molartooth impactionwisdom tooth

Identifiers

PMID41116878
PMCPMC12535808

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.