Evidence map›Paper›PMID 38182632›Full record

ArticleScientific reports2024

Clinical and digital assessment of tooth wear.

Zahra Al-Seelawi, Nuno V Hermann, Anne Peutzfeldt, Sara Baram, Merete Bakke, Liselotte Sonnesen, Angeliki Tsakanikou, Christos Rahiotis, Ana R Benetti

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

6 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.

Zahra Al-SeelawiSection of Dental Materials, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, DK-2200, Copenhagen, Denmark.
Nuno V HermannSection of Pediatric Dentistry and Clinical Genetics, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Anne PeutzfeldtSection of Dental Materials, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, DK-2200, Copenhagen, Denmark.
Sara BaramSection of Clinical Oral Physiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Merete BakkeSection of Clinical Oral Physiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Liselotte SonnesenSection of Orthodontics, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Angeliki TsakanikouDepartment of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, Athens, Greece.
Christos RahiotisDepartment of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, Athens, Greece.
Ana R BenettiSection of Dental Materials, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Nørre Allé 20, DK-2200, Copenhagen, Denmark. arbe@sund.ku.dk.

Funding

Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark Research-year scholarship to Zahra Al-Seelawi
6 · The paper itself

Abstract

The aim of this study was to compare the assessment of tooth wear performed on digital models with the one conducted at the clinical examination. Seventy-eight volunteers (29 males and 49 females, age range 20-30 years) with at least 24 teeth, normal oral function, and a neutral transverse relationship were examined. During the clinical examination, dental wear was registered according to the Basic Erosive Wear Examination (BEWE) index. Subsequently, the BEWE index was blindly applied by two examiners on digital models obtained from the volunteers. Data were analyzed using weighted Cohen's kappa coefficient and correlation tests with a confidence interval of 95%. All volunteers showed signs of tooth wear. Anterior teeth showed increased severity of tooth wear than first molars. Early loss of tooth substance could be identified on the digital models, including in areas with challenging direct intraoral visual access. Approximately 50% of the scores based on clinical examination agreed with those based on examination of digital models (k = 0.543, p < 0.01). A moderate, positive correlation was observed between scores registered clinically and on digital models (Spearman's rho = 0.560, p < 0.001). Considering the rather low agreement between the clinical and digital scores, alternatives to using BEWE on digital models are needed.

Indexed as

MolarTooth WearAdultFemaleHumansMalePhysical ExaminationVolunteersYoung Adult

Identifiers

PMID38182632
PMCPMC10770026

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