Clinical presentation of two phenotypes of tooth wear patients

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Clinical presentation of two phenotypes of tooth wear patients. / Hammoudi, Wedad; Trulsson, Mats; Smedberg, Jan Ivan; Svensson, Peter.

I: Journal of Dentistry, Bind 86, 07.2019, s. 60-68.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Hammoudi, W, Trulsson, M, Smedberg, JI & Svensson, P 2019, 'Clinical presentation of two phenotypes of tooth wear patients', Journal of Dentistry, bind 86, s. 60-68. https://doi.org/10.1016/j.jdent.2019.05.028

APA

Hammoudi, W., Trulsson, M., Smedberg, J. I., & Svensson, P. (2019). Clinical presentation of two phenotypes of tooth wear patients. Journal of Dentistry, 86, 60-68. https://doi.org/10.1016/j.jdent.2019.05.028

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MLA

Vancouver

Hammoudi W, Trulsson M, Smedberg JI, Svensson P. Clinical presentation of two phenotypes of tooth wear patients. Journal of Dentistry. 2019 jul;86:60-68. https://doi.org/10.1016/j.jdent.2019.05.028

Author

Hammoudi, Wedad ; Trulsson, Mats ; Smedberg, Jan Ivan ; Svensson, Peter. / Clinical presentation of two phenotypes of tooth wear patients. I: Journal of Dentistry. 2019 ; Bind 86. s. 60-68.

Bibtex

@article{d5ca738a7986411992056c48807d7ede,
title = "Clinical presentation of two phenotypes of tooth wear patients",
abstract = "Objective: To assess the clinical presentation of wear lesions in two phenotypes of tooth wear (TW) patients based on distribution and morphological features of wear. Materials and methods: 103 patients (mean age = 43.1 years) were divided into two groups based on cluster analysis; cluster A (61 patients) and cluster B (42 patients). The distribution of wear lesions, scores of presence or absence of 10 defined morphological TW criteria and number of teeth fulfilling each criteria were compared between groups. Intra- and inter-examiner reliability of the 10 TW criteria was determined by Cohen's kappa and intraclass correlation coefficient. Results: While cluster A had more wear in maxillary anterior teeth and mandibular molars compared with the same opposing tooth groups (p < 0.001, p < 0.007 respectively), there were no differences for cluster B. Cluster A was characterized by higher prevalence of 4 chemical morphological criteria and the highest number of teeth affected by one chemical criteria, whereas cluster B had a higher prevalence of one mechanical criteria and higher number of teeth affected by an additional mechanical criteria. Both intra- and inter-examiner values for the defined TW criteria were fair to excellent. Conclusion: The results may indicate a more chemical background for TW in cluster A and mechanical background in cluster B. Furthermore, clinicians may use certain clinical features of TW to distinguish between individuals who belong to a specific TW cluster with a presumed chemical or mechanical etiology. These preliminary findings need to be confirmed in future studies.",
keywords = "Classification of tooth wear patients, Clustering, Diagnosis of tooth wear, Modelling, Reliability, Tooth wear",
author = "Wedad Hammoudi and Mats Trulsson and Smedberg, {Jan Ivan} and Peter Svensson",
year = "2019",
month = jul,
doi = "10.1016/j.jdent.2019.05.028",
language = "English",
volume = "86",
pages = "60--68",
journal = "Journal of Dentistry",
issn = "0300-5712",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Clinical presentation of two phenotypes of tooth wear patients

AU - Hammoudi, Wedad

AU - Trulsson, Mats

AU - Smedberg, Jan Ivan

AU - Svensson, Peter

PY - 2019/7

Y1 - 2019/7

N2 - Objective: To assess the clinical presentation of wear lesions in two phenotypes of tooth wear (TW) patients based on distribution and morphological features of wear. Materials and methods: 103 patients (mean age = 43.1 years) were divided into two groups based on cluster analysis; cluster A (61 patients) and cluster B (42 patients). The distribution of wear lesions, scores of presence or absence of 10 defined morphological TW criteria and number of teeth fulfilling each criteria were compared between groups. Intra- and inter-examiner reliability of the 10 TW criteria was determined by Cohen's kappa and intraclass correlation coefficient. Results: While cluster A had more wear in maxillary anterior teeth and mandibular molars compared with the same opposing tooth groups (p < 0.001, p < 0.007 respectively), there were no differences for cluster B. Cluster A was characterized by higher prevalence of 4 chemical morphological criteria and the highest number of teeth affected by one chemical criteria, whereas cluster B had a higher prevalence of one mechanical criteria and higher number of teeth affected by an additional mechanical criteria. Both intra- and inter-examiner values for the defined TW criteria were fair to excellent. Conclusion: The results may indicate a more chemical background for TW in cluster A and mechanical background in cluster B. Furthermore, clinicians may use certain clinical features of TW to distinguish between individuals who belong to a specific TW cluster with a presumed chemical or mechanical etiology. These preliminary findings need to be confirmed in future studies.

AB - Objective: To assess the clinical presentation of wear lesions in two phenotypes of tooth wear (TW) patients based on distribution and morphological features of wear. Materials and methods: 103 patients (mean age = 43.1 years) were divided into two groups based on cluster analysis; cluster A (61 patients) and cluster B (42 patients). The distribution of wear lesions, scores of presence or absence of 10 defined morphological TW criteria and number of teeth fulfilling each criteria were compared between groups. Intra- and inter-examiner reliability of the 10 TW criteria was determined by Cohen's kappa and intraclass correlation coefficient. Results: While cluster A had more wear in maxillary anterior teeth and mandibular molars compared with the same opposing tooth groups (p < 0.001, p < 0.007 respectively), there were no differences for cluster B. Cluster A was characterized by higher prevalence of 4 chemical morphological criteria and the highest number of teeth affected by one chemical criteria, whereas cluster B had a higher prevalence of one mechanical criteria and higher number of teeth affected by an additional mechanical criteria. Both intra- and inter-examiner values for the defined TW criteria were fair to excellent. Conclusion: The results may indicate a more chemical background for TW in cluster A and mechanical background in cluster B. Furthermore, clinicians may use certain clinical features of TW to distinguish between individuals who belong to a specific TW cluster with a presumed chemical or mechanical etiology. These preliminary findings need to be confirmed in future studies.

KW - Classification of tooth wear patients

KW - Clustering

KW - Diagnosis of tooth wear

KW - Modelling

KW - Reliability

KW - Tooth wear

UR - http://www.scopus.com/inward/record.url?scp=85066295627&partnerID=8YFLogxK

U2 - 10.1016/j.jdent.2019.05.028

DO - 10.1016/j.jdent.2019.05.028

M3 - Journal article

C2 - 31132387

AN - SCOPUS:85066295627

VL - 86

SP - 60

EP - 68

JO - Journal of Dentistry

JF - Journal of Dentistry

SN - 0300-5712

ER -