Evidence map›Paper›PMID 41918786›Full record

ArticleClinical, cosmetic and investigational dentistry2026

Clinical Features of Non-Carious Cervical Lesions: An Observational Clinical Study.

Temitope Olabisi Omosebi, Gbenga Emmanuel Adebayo, Cynthia Osarugue Omoruyi, Temitope Elizabeth Soledolu, Kehinde Emmanuel Adebiyi, Bennett Tochukwu Amaechi

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Article in Clinical, cosmetic and investigational dentistry, 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

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Temitope Olabisi OmosebiDepartment of Restorative Dentistry, Lagos State University Teaching Hospital, Ikeja, LA, Nigeria.ORCID 0009-0006-8643-8346
Gbenga Emmanuel AdebayoDepartment of Dental Services, Federal Medical Centre, Ebute-Metta, LA, Nigeria.
Cynthia Osarugue OmoruyiDepartment of Restorative Dentistry and Prosthodontics, University of Port Harcourt Teaching Hospital, Choba, RV, Nigeria.
Temitope Elizabeth SoledoluDepartment of Restorative Dentistry, Lagos State University Teaching Hospital, Ikeja, LA, Nigeria.
Kehinde Emmanuel AdebiyiDepartment of Oral Pathology and Oral Medicine, Lagos State University College of Medicine, Ikeja, LA, Nigeria.ORCID 0000-0002-0747-1513
Bennett Tochukwu AmaechiDepartment of Comprehensive Dentistry, University of Texas at San Antonio, San Antonio, TX, USA.ORCID 0000-0002-5097-4466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Non-carious cervical lesions (NCCLs) are among the most common dental pathologies observed in clinical practice. This study evaluated the clinical features of NCCLs in adult patients and assessed the relationship among age, lesion depth, dentin hypersensitivity (DHS), and sclerotic degree. Patients and Methods: A total of 78 patients were recruited, resulting in 178 teeth with NCCLs. An interviewer-assisted questionnaire was administered to obtain sociodemographic information and possible risk factors for each participant. Clinical assessments of the different features of NCCLs were evaluated and recorded. Pearson's Correlation coefficient was used to investigate the relationship between age, lesion depth, sensitivity, and sclerotic degree. P-value of <0.05 was considered statistically significant at 95% CI. Results: Most of the affected teeth were first premolar 74 (41.6%), and abrasion constituted about two-third of the NCCLs (69%). Half of the total teeth with NCCLs had occlusal surface wear (51.7%). One hundred and sixteen (65.2%) teeth presented with saucer-shaped lesions, while 62 (34.8%) were wedge-shaped. There was a moderate positive correlation between the age and lesion depth (r = 0.394, p < 0.001) and a moderate positive correlation between the age and sclerotic degree (r = 0.408, p < 0.001). The correlation between the DHS and lesion depth was moderate and positive (r = 0.330, p < 0.001). There was a negative correlation between DHS and the degree of sclerosis, but this was not statistically significant (r = -0.075, p < 0.322). Conclusion: The present study demonstrated that most adult teeth with NCCLs presented with abrasions, occlusal surface wear facets, saucer-shaped lesions, with lesion depths greater than 2.0 mm. There were moderate positive correlations between age, lesion depth, DHS, sclerotic dentin, and lesion depth. However, there was a negative correlation between the DHS and the degree of sclerosis.

Indexed as

abfractionabrasiondentin hypersensitivityerosive tooth wearsclerosistooth sensitivity

Identifiers

PMID41918786
PMCPMC13033929

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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.