Level of difficulty of tooth extractions among roughly 100,000 procedures in primary care

Author:

Lindahl Oona,Ventä Irja

Abstract

Abstract Objectives The study examined treatment codes of extracted teeth and aimed to assess degree of difficulty concerning all tooth extractions. Materials and methods Retrospective data on treatment codes of all tooth extractions during a two-year period were obtained from the patient register in primary oral healthcare of the City of Helsinki, Finland. Prevalence, indication, and method of extraction appeared in the treatment codes (EBA-codes). Degree of difficulty was determined from the method and classified as non-operative or operative and as routine or demanding. Statistics included frequencies, percentages, and χ2 test. Results Total number of extraction procedures was 97,276, including 121,342 extracted teeth. The most frequent procedure was a routine extraction of a tooth with forceps (55%, n = 53,642). The main reason for extraction was caries (27%, n = 20,889). Of the extractions, 79% (n = 76,435) were non-operative, 13% (n = 12,819) operative, and 8% (n = 8,022) multiple extractions in one visit. Level of difficulty was distributed as routine non-operative (63%), demanding non-operative (15%), routine operative (12%), demanding operative (2%), and multiple extractions (8%). Conclusions Two-thirds of all tooth extractions in primary care were relatively simple. However, 29% of procedures were classified as demanding. Clinical relevance As earlier methods for assessing level of difficulty were aimed at third molars alone, an analysis was presented for all tooth extractions. This approach may be useful for research purposes, and the profile of tooth extractions and their difficulty level may be practical also for decision-makers in primary care.

Funder

University of Helsinki including Helsinki University Central Hospital

Publisher

Springer Science and Business Media LLC

Subject

General Dentistry

Reference30 articles.

1. Winter GB (1926) Principles of exodontia as applied to the impacted mandibular third molar. American Medical Book Company, St. Louis. https://archive.org/details/b2981974x. Accessed 10 May 2023

2. Pell GJ, Gregory GT (1933) Impacted mandibular third molars: classification and modified technique for removal. Dent Dig 39:330–337.  https://www.bristolctoralsurgery.com/files/2015/03/Pell-and-Gregory-Classification-1933.pdf. Accessed 10 May 2023

3. Yoo JH, Yeom HG, Shin W, Yun JP, Lee JH, Jeong SH, Lim HJ, Lee J, Kim BC (2021) Deep learning based prediction of extraction difficulty for mandibular third molars. Sci Rep 11:1954. https://doi.org/10.1038/s41598-021-81449-4

4. Sammartino G, Gasparro R, Marenzi G, Trosino O, Mariniello M, Riccitiello F (2017) Extraction of mandibular third molars: proposal of a new scale of difficulty. Br J Oral Maxillofac Surg 55:952–957. https://doi.org/10.1016/j.bjoms.2017.09.012

5. de Carvalho RW, Vasconcelos BC (2018) Pernambuco index: predictability of the complexity of surgery for impacted lower third molars. Int J Oral Maxillofac Surg 47:234–240. https://doi.org/10.1016/j.ijom.2017.07.013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3