Abstract
Introduction:
Traumatic dental injuries (TDI) are a global public health concern, impacting individuals of various age groups. This systematic review aimed to consolidate current evidence on TDI prevalence, providing insights for improved management and prevention strategies.
Methods:
A comprehensive search was conducted across PubMed/MEDLINE, Embase, and Scopus databases for studies published between January 1, 2000, and July 1, 2024. Studies reporting on the prevalence of TDI in various populations were included. We followed PRISMA guidelines in the review process. Descriptive statistics were used to summarize study characteristics, and a random-effects model was applied in the meta-analysis using STATA version 14 to pool prevalence rates, while accounting for inter-study variability. Begg’s and Egger’s tests were conducted to assess publication bias.
Results:
The review included data of 151,205 patients from 30 studies across diverse healthcare settings. The prevalence rates varied significantly across studies, ranging from as low as 1.88% to as high as 86.98%. The overall pooled prevalence of TDI, calculated using a random effects model, was 19.48% (95% CI: 11.21% to 27.74%), indicating substantial heterogeneity among the studies (I-squared = 100.0%, p < 0.001). The prevalence varied significantly across different healthcare settings and demographic groups. No evidence of publication bias was found (p > 0.05).
Conclusions:
This systematic review underscores the high prevalence of TDI and highlights the need for targeted preventive strategies and evidence-based interventions in dental trauma care.
Key Words: Dental care, Pediatric dentistry, Tooth injuries, Prevalence, Meta-analysis
1. Introduction:
Traumatic dental injuries (TDI), encompassing injuries to the teeth and their supporting structures, are a pervasive and significant public health concern globally (1, 2). These injuries result from a wide range of incidents such as falls, accidents, sports-related impacts, and interpersonal violence, affecting individuals of all ages and socio-economic backgrounds. It is estimated that 17–50% of adolescents and adults experience dental trauma, highlighting the prevalence and impact of TDI on oral health (3).
The consequences of TDI extend beyond immediate dental problems, often leading to long-term complications that include functional impairment, compromised aesthetics, and psychological distress (4-6). Studies indicate that untreated dental trauma can increase the risk of dental caries, pulp necrosis, and subsequent tooth loss, underscoring the importance of timely and appropriate management of these injuries (7-10). Despite advancements in preventive strategies and treatment modalities, disparities in the prevalence and management of TDI persist across different populations and geographical regions. Factors such as access to dental care, socio-economic disparities, and cultural practices influence the incidence and outcomes of TDI (11-13). Understanding the epidemiology, risk factors, and clinical characteristics of TDI is essential for developing effective preventive measures, improving clinical management protocols, and addressing the specific needs of affected individuals.
While existing research has established the prevalence and consequences of TDI, there is a lack of a comprehensive synthesis of this information across diverse populations and settings. This systematic review aimed to fill this gap by analyzing the pooled prevalence of TDI from studies published over the past two decades. By doing so, it seeks to provide valuable insights for healthcare professionals, inform public health strategies, and guide future research directions in this critical area of oral health.
2. Methods:
2.1 Study design and setting
In this systematic review and metanalysis, we searched PubMed/MEDLINE, Embase, and Scopus using comprehensive search terms including 'traumatic dental injuries', 'dental trauma', 'dental injuries', 'tooth injuries', and their variations.
The search was conducted to find studies reporting on TDI from January 1st, 2000 to July 1, 2024. This study was conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (14). The search strategy in different databases is presented in supplementary table.
2.2 Study selection criteria
Eligible studies were required to include information on TDI. Specifically, the studies involved patients of any age who had experienced TDI and report the prevalence, incidence, or characteristics of these injuries. The review considered observational studies, including cross-sectional, retrospective, and prospective cohort studies. To be included, studies must have provided sufficient data on TDI, such as the type of teeth affected (primary or permanent), the number of teeth involved, and the nature of the injury. Only studies published in English were included. Studies conducted in any geographical location and in various healthcare settings, such as emergency dental clinics, general hospitals, and pediatric departments, were considered. Studies that did not meet these criteria or lacked detailed information on TDI were excluded from the review.
2.3 Review process
All identified articles were uploaded to EndNote, and duplicates were removed manually. Two reviewers (SHN and AHSH) independently screened the titles and abstracts of the articles. Any disagreements were resolved by a third reviewer (MJN). Subsequently, the reviewers evaluated the full texts of all potentially eligible studies, with any disagreements again being resolved by the third reviewer.
2.4 Data extraction
Two reviewers (SHN and AHSH) systematically extracted data into a predefined spreadsheet using Microsoft Excel. In case of any discrepancies, a third reviewer (MJN) was involved. The extracted data encompassed various parameters, including the study characteristics (author, year of publication, country, and study design), patient demographics (age, gender), sample size, type of teeth affected (primary or permanent), number of teeth involved, nature of the injury, prevalence, and incidence rates of TDI, and details on the healthcare setting.
2.5 Quality Assessment
Two reviewers (SHN and AHSH) evaluated the quality of the studies using distinct assessment tools, with a third reviewer (MJN) intervening in case of inconsistencies. The Joanna Briggs Institute checklist for prevalence studies was used to assess the methodological quality of the included studies. This checklist evaluates various domains, such as the representativeness of the sample, adequacy of the sample size, clarity of the study setting, sufficiency of data analysis coverage, accurate identification of the condition, and appropriateness of statistical analysis. Each study was scored on a scale from 0 to 9, with higher scores indicating better methodological quality.
2.6 Data analysis
The STATA version 14 software was used for statistical analysis. Descriptive statistics were used to summarize the characteristics of the included studies. Meta-analysis was performed to pool the prevalence rates of TDI across the studies using a random-effects model to account for variability between studies. Heterogeneity among studies was assessed using the I-squared statistic and Cochran's Q test. Publication bias was evaluated using funnel plots, along with Begg’s and Egger’s tests.
3. Results:
3.1 Study characteristics
A total of 1,658 records were identified from databases. After removing 538 duplicates, 1,120 records were screened, with 1,034 excluded. Eighty-six reports were assessed for eligibility, with 56 excluded for reasons such as not being an emergency dental service, non-eligible study design, and lack of TDI prevalence data. Ultimately, 30 studies were included in the systematic review and meta-analysis (Figure1).
Figure 1.
Flow chart of study selection for inclusion in the systematic review. TDI: Traumatic dental injuries.
Table 1 presents the characteristics of the 30 studies included in the systematic review, with a pooled total of 151,205 patients. These studies span multiple countries and timeframes, featuring a variety of study designs, including 14 cross-sectional and 16 retrospective cohort studies. The types of services ranged from emergency dental clinics to general hospitals and pediatric departments. The number of patients in each study varied widely, from as few as 53 patients to as many as 88,610 patients. Gender distribution and age of the patients also varied, reflecting diverse demographics. The prevalence of TDI was reported across studies, with some focusing on primary teeth, permanent teeth, or both. For instance, Sælen et al. (2024) reported a 47.40% TDI prevalence in Norway, while Dang et al. (2015) in Australia found a 4% prevalence. Details on the number of affected teeth and the type of teeth (primary vs. permanent) were provided where available, highlighting the varied impact of TDI across different populations and healthcare settings.
Table 1.
Characteristics of included studies
| First author | Year | Country | Study period | Study design | Service |
Patients
(n) |
Male
% |
Age
(Year) |
Patients
(n) |
Teeth
(n) |
Permanent
n (%) |
Primary
n (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sælen et al. (19) | 2024 | Norway | 12 months | Cross-sectional | EDC | 312 | 54.1 | Range: 7 to 18 |
148 | 253 | NR | NR |
| Zhou et al. (20) | 2023 | China | 48 Months | Retrospective cohort |
EDC | 5220 | 58.3 | Mean: 16.2 |
323 | 459 | 305 (66.4) | 154 (33.6) |
| Heggie et al. (21) | 2022 | United Kingdom | 12 months | Retrospective cohort |
PED | 667 | 53.1 | Range: 0 to 17 |
234 | NR | NR | NR |
| Mckenzie et al. (22) | 2022 | New Zealand | 60 months | Retrospective cohort |
PED | 4030 | 54.0 | Range: 11 to 40 |
282 | NR | NR | NR |
| Cagetti et al. (23) | 2021 | Italy | 12 Days | Cross-sectional | GH | 285 | 61.0 | Mean: 43.7 |
24 | NR | NR | NR |
| Diago et al. (24) | 2021 | Italy | 120 Months | Cross-sectional | EDC | 26355 | NR | Range: 0 to 68 |
565 | 860 | 542 (63.0) | 318 (37.0) |
| Shubham et al. (25) | 2021 | Nepal | 60 Months | Cross-sectional | EDC | 10080 | NR | Range: 0 to 79 |
793 | NR | NR | NR |
| Petrescu et al. (26) | 2020 | Romania | 01 Months | Cross-sectional | GH | 160 | 56.3 | Range: 2 to 78 |
3 | NR | NR | NR |
| Loutroukis et al. (27) | 2020 | Switzerland | 45 Months | Retrospective cohort |
GH | 53 | 66.0 | Range: 16 to 81 |
8 | NR | NR | NR |
| Guo et al. (28) | 2020 | China | 10 Days | Cross-sectional | EDC | 1567 | 47.5 | Range: 2 to 92 |
222 | NR | NR | NR |
| Alkhadra et al. (29) | 2016 | Canada | 48 Months | Cross-sectional | GH | 1893 | NR | Range: 1 to 85 |
117 | NR | NR | NR |
| Jung et al. (30) | 2016 | Taiwan | 24 Months | Cross-sectional | GH | 391 | 60.1 | Range: 0 to 17 |
184 | 328 | NR | NR |
| Costa et al. (31) | 2015 | Brazil | 80 Months | Cross-sectional | PED | 596 | NR | Range: 0 to 12 |
124 | 254 | 0 | 254 (100.0) |
| Ritwik et al. (32) | 2015 | United States | 56 Months | Retrospective cohort |
PED | 382 | NR | Range: 0 to 21 |
264 | 548 | 290 (53.0) | 258 (47.0) |
| Martens et al. (33) | 2015 | Belgium | 36 Months | Retrospective cohort |
PED | 1000 | 56.1 | Range: 0 to 16 |
267 | NR | NR | NR |
| Mahmoodi et al. (34) | 2015 | Germany | 48 Months | Cross-sectional | GH | 16301 | NR | Range: 0 to 88 |
1305 | 2319 | 1398 (60.3) | 921 (39.7) |
| Dang et al. (35) | 2015 | Australia | 48 Months | Retrospective cohort |
EDC | 88610 | NR | Range: 0 to 86 |
3574 | 6001 | 4597 (76.6) | 1404 (23.4) |
| Shqair et al. (36) | 2012 | Brazil | 12 Months | Retrospective cohort |
EDC | 253 | 51.8 | Range: 1 to 16 |
15 | NR | NR | NR |
| Wong et al. (37) | 2012 | Australia | 32 Months | Retrospective cohort |
EDC | 196 | 51 | Range: 2 to 18 |
17 | NR | NR | NR |
| Assunção et al. (38) | 2011 | Brazil | 120 Months | Cross-sectional | PED | 1703 | NR | Range: 0 to 5 |
409 | 679 | 0 | 679 (100.0) |
| Bae et al. (39) | 2011 | South Korea | 12 Months | Cross-sectional | GH | 1425 | 62.7 | Range: 0 to 92 |
940 | NR | NR | NR |
| Díaz et al. (40) | 2010 | Chile | 40 Months | Cross-sectional | GH | 1719 | NR | Range: 1 to 15 |
359 | 670 | 525 (78.4) | 145 (21.6) |
| Tramini et al. (41) | 2010 | France | 07 Months | Cross-sectional | GH | 500 | 55 | Mean: 39.8 |
42 | NR | NR | NR |
| Tham et al. (42) | 2009 | Australia | 12 Months | Cross-sectional | EDC | 6938 | NR | Range: 0 to 80 |
304 | 529 | NR | NR |
| Tulip et al. (43) | 2008 | United Kingdom | 08 Months | Retrospective cohort |
EDC | 1472 | 52.4 | NR | 29 | NR | NR | NR |
| Rezende et al. (44) | 2007 | Brazil | 08 Months | Cross-sectional | EDC | 1650 | NR | Range: 0 to 52 |
78 | NR | NR | NR |
| Rowley et al. (45) | 2006 | United States | 101 Months | Cross-sectional | GH | 2683 | NR | Mean: 6.8 |
1355 | NR | NR | NR |
| Sakai et al. (46) | 2005 | Brazil | 24 Months | Retrospective cohort |
EDC | 1166 | 50.3 | Mean: 9.2 |
199 | NR | NR | NR |
| Naidu et al. (47) | 2005 | Trinidad and Tobago |
07 Months | Cross-sectional | PED | 309 | 47.0 | Range: 1 to 16 |
41 | 52 | 39 (75.0) | 13 (25.0) |
| Al-Jundi et al. (48) | 2002 | Jordan | 12 Months | Retrospective cohort |
PED | 620 | NR | Range: 0 to 14 |
195 | 287 | 272 (94.8) |
15 (5.2) |
EDC: Emergency dental clinic; PED: Pediatric emergency department; GH: General hospital; NR: not reported.
3.2 Quality assessment
The quality assessment of observational studies, performed using the Joanna Briggs Institute checklist for prevalence studies tool, was conducted on a total of 30 studies (Table 2). Among these, the majority demonstrated moderate to high methodological quality, with scores ranging from 6 to 9. This indicates robust methodology across various domains, such as the representativeness of the samples, selection of the patients, adequate sample size, well-described setting, sufficient data analysis coverage, accurate identification of the condition, and appropriate statistical analysis.
Table 2.
Quality assessment of include studies
| First author | Was the sample representative of the target population? | Were study participants recruited in an appropriate way? | Was the sample size adequate? | Were the study subjects and the setting described in detail? | Was the data analysis conducted with sufficient coverage of the identified sample? | Were objective, standard criteria used for the measurement of the condition? | Was the condition measured reliably? | Was there appropriate statistical analysis? | Was the response rate adequate, and if not, was the low response rate managed appropriately? |
|---|---|---|---|---|---|---|---|---|---|
| Sælen et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Zhou et al. | No | NA | Yes | Yes | Yes | Yes | No | Yes | Yes |
| Heggie et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Mckenzie et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Cagetti et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Diago et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Shubham et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Petrescu et al. | No | NA | Yes | No | Yes | No | Yes | Yes | Yes |
| Loutroukis et al. | No | NA | Yes | Yes | No | Yes | Yes | Yes | Yes |
| Guo et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Alkhadra et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Jung et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Costa et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Ritwik et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Martens et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Mahmoodi et al. | Yes | NA | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Dang et al. | Yes | NA | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Shqair et al. | Yes | NA | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Wong et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Assunção et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Bae et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Díaz et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Tramini et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Tham et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Tulip et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Rezende et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
| Rowley et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Sakai et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Naidu et al. | Yes | NA | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Al-Jundi et al. | Yes | NA | Yes | No | Yes | Yes | Yes | Yes | Yes |
NA: not applicable.
3.3 Pooled prevalence of TDI
Figure 2 illustrates the pooled prevalence of TDI from the included studies. The prevalence rates varied significantly across studies, ranging from as low as 1.88% to as high as 86.98%. The overall pooled prevalence of TDI, calculated using a random effects model, was 19.48% (95% CI: 11.21% to 27.74%), indicating substantial heterogeneity among the studies (I-squared = 100.0%, p < 0.001). Each study's weight in the meta-analysis is also presented, with most studies contributing equally to the overall estimate. The prevalence of permanent and primary teeth injuries varied across studies, with proportions ranging from 66.4% permanent and 33.6% primary to 94.8% permanent and 5.2% primary, while some studies did not report specific percentages.
Figure 2.
Pooled prevalence of traumatic dental injuries (TDI). CI: confidence interval; ES: Effect size
Figure 3 shows the funnel plot of the included studies to assess publication bias. The plot demonstrates a symmetrical distribution of studies around the pooled effect size, indicating no evidence of publication bias. This visual assessment is supported by statistical tests, with both Begg’s and Egger’s tests yielding p-values greater than 0.05, further confirming the absence of significant publication bias in the meta-analysis.
Figure 3.
Funnel plot of included studies. s.e: standard error.
4. Discussion:
The systematic review conducted in this study synthesized data from 30 studies, revealing an overall pooled prevalence of TDI at 19.48% (95% CI: 11.21% to 27.74%). This prevalence highlights the significant global burden of TDI across diverse populations and healthcare settings. The included studies reported varying rates of TDI, influenced by factors such as age, socio-economic status, and geographical location. Predominantly affecting permanent teeth, TDI showed substantial variability in incidence and severity, underscoring the need for targeted preventive measures and improved clinical management strategies.
Our findings align closely with previous meta-analyses and systematic reviews, affirming the widespread occurrence and impact of TDI globally. However, in comparison to Thiago César da Silva Lima's study (15), our research differs in some key aspects. While Silva Lima primarily focused on emergency dental services, our synthesis included studies from emergency dental clinics, general hospitals, and pediatric departments, enabling a more comprehensive analysis of TDI across diverse healthcare settings. Moreover, our study reported a slightly higher overall pooled prevalence of TDI at 19.04% (95% CI: 11.12% to 26.96%), compared to Silva Lima's finding of 15.4% (95% CI: 11%-21%, I² = 100%). This difference underscores our incorporation of studies from broader healthcare contexts beyond emergency care, providing a more nuanced understanding of TDI prevalence across various patient demographics and clinical environments.
The findings have significant clinical implications for dental practitioners and healthcare providers. Early identification and prompt management of TDI are crucial in minimizing long-term complications such as pulp necrosis, dental caries, and aesthetic concerns (16-18). Tailored preventive strategies, including education on sports safety, use of mouthguards, and public awareness campaigns, are essential to reducing the incidence and severity of TDI, particularly among vulnerable populations. Enhancing access to emergency dental services and implementing evidence-based treatment protocols can further improve patient outcomes and reduce the economic burden associated with TDI-related treatments.
The main findings, including the strength of evidence for each main outcome, are now summarized considering their relevance to key groups such as healthcare providers, users, and policymakers. The strength of the evidence presented in this review is bolstered by the inclusion of a large and diverse sample size, with over 151,000 patients across different healthcare settings and regions. This comprehensive analysis provides valuable insights for healthcare providers, policymakers, and public health officials, emphasizing the need for widespread adoption of preventive measures and the implementation of standardized clinical protocols. For dental practitioners, these findings underline the importance of early detection and prompt management of TDI to prevent long-term complications. For policymakers, the study highlights the necessity of investing in public health campaigns and preventive initiatives, particularly targeting high-risk groups such as children and athletes.
The findings of this review have important implications for future research. Studies should focus on identifying the most effective preventive measures, particularly in vulnerable populations, and on exploring the long-term outcomes of TDI management across various healthcare settings. Future research should also aim to standardize diagnostic criteria and reporting practices to improve the comparability of studies and strengthen the evidence base for effective interventions. Additionally, there is a need for more research on the socio-economic impacts of TDI, particularly in low-resource settings, where access to care may be limited.
5. Limitations
Some limitations should be acknowledged when interpreting the findings of this systematic review. Heterogeneity among the included studies, including variations in study designs, sample sizes, and diagnostic criteria, may have influenced the pooled prevalence estimate of TDI. The reliance on studies published in English and indexed in selected databases may have introduced publication bias, potentially limiting the generalizability of the findings to non-English-speaking populations and unpublished literature.
6. Conclusions:
A general interpretation of our results in the context of other evidence suggests that TDI continues to be a significant public health concern, despite ongoing efforts in prevention and management. The identified pooled prevalence rate underscores the widespread nature of TDI and emphasizes the importance of preventive strategies and evidence-based interventions in clinical practice. Addressing the limitations identified, such as standardizing reporting practices and including diverse populations, will be critical for advancing knowledge, improving patient care, and guiding future research initiatives in this critical area of oral health.
Appendix
Supplementary Table.
Search strategy in different databases
| Database | Search Terms |
|---|---|
| PubMed/MEDLINE | (("traumatic dental injuries"[MeSH] OR "dental trauma"[MeSH] OR "tooth injuries"[MeSH]) OR ("traumatic dental injuries" OR "dental trauma" OR "dental injuries" OR "tooth injuries" OR "oral trauma" OR "tooth fractures" OR "tooth avulsion" OR "maxillofacial trauma")) |
| Embase | (('traumatic dental injuries'/exp OR 'dental trauma'/exp OR 'dental injuries'/exp OR 'tooth injuries'/exp) OR ('traumatic dental injuries' OR 'dental trauma' OR 'dental injuries' OR 'tooth injuries' OR 'maxillofacial injuries' OR 'tooth loss' OR 'dental fractures' OR 'oral trauma' OR 'facial trauma')) |
| Scopus | (TITLE-ABS-KEY ("traumatic dental injuries" OR "dental trauma" OR "dental injuries" OR "tooth injuries" OR "dental fractures" OR "oral trauma" OR "maxillofacial trauma" OR "facial trauma")) |
7. Declarations:
7.1 Acknowledgments
None.
7.2 Ethics approval and consent to participate
Not applicable.
7.3 Consent for publication
All authors have consented to the publication of this manuscript.
7.4 Availability of data and material
All data and materials relevant to this study are included within the manuscript.
7.5 Competing interests
The authors declare that they have no competing interests relevant to this study.
7.6 Authors' contributions
All authors contributed equally to the conception, design, data collection, analysis, interpretation, and writing of the manuscript. All authors read and approved the final version.
7.7 Using artificial intelligence chatbots
During the preparation of this work, the authors used ChatGPT 3.5 to edit the manuscript grammar and style.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data and materials relevant to this study are included within the manuscript.



