Analysis of jaw fractures in motorcycle accidents: a systematic review

Article information

Arch Craniofac Surg. 2025;26(3):85-91
Publication date (electronic) : 2025 June 20
doi : https://doi.org/10.7181/acfs.2025.0008
1Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Hasanuddin University, Makassar, Indonesia
2Department of Oral and Maxillofacial Surgery, Dental Hospital of Hasanuddin University, Makassar, Indonesia
Correspondence: Andi Tajrin, Department of Oral and Maxillofacial Surgery, Dental Hospital of Hasanuddin University, Jalan Perintis Kemerdekaan Km.10, Makassar 90245, Indonesia, E-mail: anditajrin@unhas.ac.id
Received 2025 February 8; Revised 2025 April 10; Accepted 2025 June 3.

Abstract

Background

The mandible and maxilla are the most robust facial bones, protecting the facial skull. Fractures of these bones rank among the most common facial injuries sustained in motor vehicle accidents due to the exposed location of the face. Such injuries can have serious health consequences, from functional impairment to death.

Methods

The review adhered to the PRISMA Guidelines. Conducted across four electronic databases: Web of Science, PubMed, Embase, and Google Scholar. Keywords were selected based on a search strategy structured around the Population, Intervention, Comparison, and Outcome framework. Risk of bias was assessed using the Scottish Intercollegiate Guidelines Network criteria.

Results

The literature search yielded 42 articles published in the last 5 years (2019–2024). After the predefined inclusion and exclusion criteria were applied, six articles met the eligibility criteria. Data from these studies, along with their bias assessments, were summarized in tabular format.

Conclusion

The reported incidence of maxillary and mandibular fractures varies across studies. The summarized analysis in this article indicates various fracture patterns. This review also emphasizes the role of trauma severity indices—essential tools for prognostic evaluation, treatment planning, and cost of injury assessment in trauma patients—along with their applications in situations involving triage and multidisciplinary scientific approaches.

INTRODUCTION

Maxillofacial trauma refers to injuries of the facial bones and surrounding soft and hard tissues. Due to the complexity of the craniofacial anatomy, such trauma can present in various forms, including skin abrasions, puncture wounds, lacerations, nerve damage, gland injuries, and tooth and bone fractures. Temporomandibular joint injuries, vascular damage, and muscle trauma may also accompany mandibular fractures. The anterior facial region serves as a protective barrier for the cranium and is critical for both appearance and essential functions, such as vision, olfaction, mastication, respiration, and speech [14].

Motorcycle accidents contribute significantly to maxillofacial trauma, with mandibular fractures among the most frequently reported injuries. Traffic collisions not only impose financial burdens but also cause a spectrum of physical harm, from minor wounds to life threatening conditions. Epidemiological studies indicate that motorcyclists are especially vulnerable to maxillofacial injuries due to the absence of protective structures, such as seat belts and airbags, that are standard in enclosed vehicles. According to the Hurt Report, 98% of multi vehicle motorcycle collisions and 96% of single vehicle crashes result in injury, with 45% of riders sustaining more than minor trauma. Reports suggest that maxillofacial injuries account for approximately 10% to 30% of all emergency trauma cases, underscoring the seriousness of the issue [58].

Several studies have examined the associations among trauma severity indices, treatment costs, and length of hospitalization. However, comprehensive analyses exploring how injury severity correlates with post accident complications, particularly in cases involving mandibular fractures, remain limited [9,10]. Understanding these relationships is essential for developing effective prevention strategies, optimizing treatment protocols, and minimizing long-term complications. The high incidence of facial fractures among motorcyclists underscores the need for enhanced safety measures, such as improvements in helmet usage, stricter traffic regulations, and public education focused on road safety.

This review was performed to analyze the patterns and implications of mandibular fractures resulting from motorcycle accidents. By addressing existing research gaps, presenting epidemiological data, and emphasizing clinical and research significance, this study seeks to contribute to improved patient outcomes and inform policy measures designed to reduce motorcycle related maxillofacial trauma.

METHODS

This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to ensure transparency and reproducibility in study selection [11]. We applied the PICO framework to refine our search strategy and enhance the quality of literature retrieval [12]. A comprehensive literature search was conducted across four major electronic databases: Web of Science, PubMed, Embase, and Google Scholar. The search strategy was developed using the Population, Intervention, Comparison, Outcome framework and employed relevant Medical Subject Headings combined with Boolean operators (AND, OR) to refine the results (Table 1) [13,14].

Search strategy

The Scottish Intercollegiate Guidelines Network recommendation classification system was applied to assess confidence in the evidence and the strength of the recommendations. Based on this framework for medical or health guidelines, clinicians can obtain clear guidance for decision-making based on the level of confidence in the evidence. This also helps reduce the risk of bias and improves the quality of the articles included in a systematic review (Tables 2, 3).

Scottish Intercollegiate Guidelines Network (SIGN) criteria

Risk of bias of included studies

RESULTS AND DISCUSSION

The systematic search identified 1,900 articles. After the application of predefined inclusion and exclusion criteria, six articles remained for detailed analysis (Fig. 1). These studies, with their risk of bias detailed in Table 3, were the most pertinent to our objectives. Their data are summarized in Table 4.

Fig. 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 flowchart of the study selection process for this systematic review.

Characteristics of included studies

Cabral et al. [14] reported that of 171 cases of mandibular condylar fractures, most patients were young male motorcyclists, with sub condylar fractures being the most prevalent type. Statistical analysis demonstrated that surgical intervention significantly reduced the risk of complications (by 49% compared to non-surgical management), with particular effects in preserving jaw function and facial nerve integrity [1517]. Similarly, Chuang et al. [18] conducted a study of 881 patients in Taiwan and found that children were more susceptible to mandibular fractures, whereas elderly patients more often sustained concomitant head trauma. The overall mortality rate in their study was 3.1%. Facial fracture patterns among motorcyclists varied significantly by age (p<0.01), highlighting the necessity of age-specific trauma management strategies [1820]. A significant association was found between traumatic brain injury and fractures of the zygomatic arch, Le Fort II, maxilla, nose, and mandible (p<0.05) [4]. These findings reinforce the concept that certain facial fracture patterns may serve as clinical indicators of severe brain injury, underscoring the importance of early screening and timely intervention to improve prognosis (Table 5) [4,5,15,20].

Characteristics of included studies, continued

In line with these findings, Natigor et al. [5] investigated the relationship between mandibular fracture location and intracranial injury, revealing that mandibular symphysis fractures, including those sustained in motorcycle accidents, carried a significantly higher risk of intracranial lesions than fractures in other mandibular regions. These findings suggest that mandibular fracture patterns could serve as valuable predictors of intracranial trauma, supporting the incorporation of fracture site assessment into initial trauma evaluations.

The role of helmet use in reducing the severity of mandibular fractures was also extensively analyzed. Multiple studies demonstrated that full-face helmets significantly reduced the incidence of condylar and symphyseal fractures, whereas riders wearing half face or open face helmets had a 2.5 fold higher risk of severe mandibular fractures (Abbreviated Injury Scale ≥3) compared to full face helmet users [4,6,9,15,17,20]. Non helmeted riders exhibited a significantly higher rate of comminuted fractures, necessitating surgical fixation and longer recovery periods. Overall, helmet use was associated with a 40% reduction in trauma severity, a decrease in hospitalization duration by a mean of 2 to 3 days, and a lower likelihood of requiring surgery, particularly in low-impact collisions. In Indonesia, traffic accidents—particularly those involving motorcycles—remain a leading cause of traumatic injuries, including mandibular fractures. Data from the Indonesian National Traffic Police Corps (Korlantas Polri) indicate that motorcycles account for more than 70% of all traffic accident cases annually [21]. The primary regulation governing traffic safety in Indonesia is Law No. 22 of 2009 concerning Road Traffic and Transportation, which mandates helmet use and sets vehicle safety standards [22]. However, compliance with these regulations varies widely and tends to be suboptimal in certain regions, particularly in rural and remote areas. This issue is exacerbated by inconsistent law enforcement and inadequate traffic infrastructure such as poor street lighting, unregulated intersections, and uneven distribution of emergency trauma response systems.

Furthermore, the absence of a unified national trauma registry hinders the collection of real-time data critical for monitoring and managing maxillofacial injuries resulting from traffic accidents [21]. Environmental factors including poor road conditions, traffic congestion, and lack of safety education have been identified as significant contributors to the high incidence of accidents [23]. Although Law No. 22/2009 serves as the primary legal framework, its regional implementation and safety campaigns remain inconsistent and have not reached all community levels effectively [24].

While these findings underscore the protective benefit of full-face helmets, further research is warranted to evaluate long-term functional outcomes across helmet types in preventing maxillofacial trauma.

Beyond individual risk factors, age and geographic setting also influenced mandibular fracture patterns. Young adults (20 to 40 years old) accounted for the greatest proportion of fractures, aligning with higher motorcycle usage in this demographic. In contrast, patients over 60 years experienced more complex fractures, attributed to lower bone density and a higher rate of comorbidities, which resulted in an increased risk of complications. Additionally, urban areas exhibited higher rates of symphyseal and para-symphyseal fractures, likely due to their relative propensity for high-speed collisions and denser traffic conditions, whereas rural regions recorded more condylar fractures, perhaps linked to poorer road infrastructure and lower helmet compliance. These findings suggest that preventive strategies should be tailored to age and regional contexts, including mandatory full face helmet laws, enhanced road safety measures, and specialized trauma care protocols for high risk populations.

Environmental and behavioral factors further contributed to the incidence and severity of mandibular fractures in motorcycle accidents. Excessive speed correlated directly with higher trauma severity, underscoring the need for strict speed regulations. Similarly, poor road conditions and inadequate nighttime lighting—especially in rural areas—significantly increased the likelihood of accidents. Helmet law compliance was also lower among low-income and rural populations, highlighting the need for targeted public safety campaigns to promote helmet use. Although helmets are a proven protective measure, the persistence of severe mandibular fractures in high speed collisions warrants further study. Infrastructure improvements and enhanced public awareness programs could further reduce the incidence of motorcycle-related maxillofacial trauma [6,8,10,1618].

These findings underscore the necessity of comprehensive preventive and clinical interventions, including mandatory full-face helmet regulations, age-specific trauma management strategies, strengthened road safety policies, and early screening for concomitant brain injuries based on facial fracture patterns as clinical indicators. By integrating quantitative analyses of trauma severity indices, detailed evaluations of helmet effectiveness, and insights into age-based and regional variations, this review offers a holistic understanding of mandibular fractures in motorcycle accidents, thus informing critical advances in both prevention and clinical trauma care.

CONCLUSION

This study highlights the substantial burden of mandibular fractures in motorcycle-related accidents, emphasizing the relationships of helmet use, trauma severity index scores, and demographic variations with injury patterns. Full-face helmets conferred superior protection, reducing the severity of condylar and symphyseal fractures, whereas half-face or absent helmets were associated with a significantly higher risk of severe fractures requiring surgical intervention. The demonstrated correlation between fracture location and intracranial injury further reinforces the importance of early screening and multidisciplinary management in trauma cases.

CLINICAL IMPLICATIONS

From a clinical perspective, these findings support the routine integration of trauma severity indices (such as the Abbreviated Injury Scale, Injury Severity Score, and Glasgow Coma Scale) into standard assessment protocols to inform prognosis and guide treatment decisions. Additionally, age-based and regional differences in mandibular fracture patterns suggest that targeted prevention strategies, including stricter helmet regulations and improved road safety measures, should be tailored based on risk demographics. This study also highlights the need for early identification of patients with concomitant head injuries, as specific fracture patterns may indicate a higher risk of intracranial trauma.

STUDY LIMITATIONS

Despite its contributions, this review has certain limitations. The sample size is relatively small, and the articles selected may have introduced bias. Furthermore, variations in study designs, patient populations, and trauma scoring methods among the included studies could limit the generalizability of the findings. Moreover, helmet effectiveness was assessed based on the available literature, but factors such as helmet fit, impact velocity, and compliance with safety standards were not uniformly evaluated across studies.

FUTURE RESEARCH DIRECTIONS

Future research should include prospective, large-scale cohort studies to establish causal relationships among helmet type, trauma severity, and long-term functional outcomes. Additionally, studies are needed to explore the role of environmental factors, such as road conditions, accident timing, and alcohol use, in the severity of mandibular fractures. Biomechanical assessments of the protective efficacy of different helmet designs could also be integrated to enhance preventive strategies. Finally, advancements in machine learning and artificial intelligence-based trauma assessment tools may help improve early diagnosis and treatment planning for patients with maxillofacial injuries. By addressing these gaps, future research can refine clinical guidelines, inform public health policies, and ultimately reduce the global burden of motorcycle-related mandibular fractures.

Notes

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Funding

None.

Author contributions

Conceptualization: Andi Muhammad Arif. Data curation: Andi Tajrin. Formal analysis: Andi Muhammad Arif, Andi Tajrin. Methodology: Andi Muhammad Arif. Writing - original draft: Andi Muhammad Arif. Writing - review & editing: Andi Tajrin, Nurwahida. Supervision: Andi Tajrin. All authors have reviewed and approved the final manuscript.

Abbreviations

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

RCT

randomized controlled trial

References

1. Ariawan D, Dharmawan DK, Gondosudiro R, Julia V, Sulistyani LD, Ruslin M, et al. Characteristics of maxillofacial trauma in motorcycle accidents at a regional general hospital in indonesia: a five-year retrospective study using the Facial Injury Severity Scale (FISS) and Maxillofacial Injury Severity Score (MFISS). Open Dent J 2024;18:e18742106308518.
2. Abosadegh MM, Saddki N, Al-Tayar B, Rahman SA. Epidemi ology of maxillofacial fractures at a teaching hospital in Malaysia: a retrospective study. Biomed Res Int 2019;2019:9024763.
3. Jaber MA, AlQahtani F, Bishawi K, Kuriadom ST. Patterns of maxillofacial injuries in the Middle East and North Africa: a systematic review. Int Dent J 2021;71:292–9.
4. Nawi MA, Noor NF, Shaari R, Khaleel AK, Lazin MA, Sulaiman IM, et al. The patterns of facial fractures in traumatic brain injury (TBI) patients using ordinal regression: a retrospective study of five years. AIMS Neurosci 2022;9:345–57.
5. Natigor PS, Sudiasa IK, Mahadewa TGB. Predictors of intracranial lesions in patients with trauma mandibular fractures. Neurologico Spinale Medico Chirurgico 2023;6:63–8.
6. Kuye OF, Aborisade AO, Njokanma AR, Omotuyole AS, Alonge M, Idowu BS. Retrospective analysis of etiology, pattern, and determinants of pediatric maxillofacial injuries. Niger J Basic Clin Sci 2024;21:256–60.
7. Shuen AOW, Hong CYL, Ismail HB, Ting LT, George NS, Hanapi NS, et al. Retrospective study on facial fractures in adults: clinical research. Malays J Oral Maxillofac Surg 2020;18:1–4.
8. Ruslin M, Wolff J, Yusuf HY, Arifin MZ, Boffano P, Forouzanfar T. Use of neuron-specific enolase to predict mild brain injury in motorcycle crash patients with maxillofacial fractures: a pilot study. Chin J Traumatol 2019;22:47–50.
9. Giovannini E, Santelli S, Pelletti G, Bonasoni MP, Lacche E, Pelotti S, et al. Motorcycle injuries: a systematic review for forensic evaluation. Int J Legal Med 2024;138:1907–24.
10. Tsutsumi Y, Ito D, Nakamura M, Koshinuma S, Yamamoto G, Hitosugi M. Maxillofacial injuries in cyclists: a biomechanical approach for the analysis of mechanisms of mandible fractures. J Oral Maxillofac Surg 2021;79:871–9.
11. Selcuk AA. A guide for systematic reviews: PRISMA. Turk Arch Otorhinolaryngol 2019;57:57–8.
12. Eriksen MB, Frandsen TF. The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review. J Med Libr Assoc 2018;106:420–31.
13. Sonis ST, Villa A. Translational systems medicine and oral disease Andre Gerhard Wolff; 2020.
14. Cabral LC, Soares EC Jr, Cabral BC, da Silva Neto JP, Furtado LM, Simamoto PC Jr. A multicenter and epidemiological study of patterns and treatment strategies for mandibular condyle fractures. Biosci J 2024;40:e40022.
15. Bhate KA, Kulkarni DG, Chavan MS, Kheur SM, Kshirsagar KA, Kakodkar PV. Mid-facial fractures and their current classification systems: narrative review. Front Oral Maxillofac Med 2025;7:10.
16. Pabbati S, Thomson P, Sharma D, Bhandari S. The aetiology of maxillofacial trauma in Australia: a scoping review. Aust Dent J 2024;69:146–56.
17. Kim EJ, Ganga A, Kang C, Elnemer W, Lee JY, Ronquillo YC, et al. Motorcycle-associated ocular injuries: a narrative review. Clin Ophthalmol 2022;16:3457–79.
18. Chuang KT, Hsieh F, Liao HT. The correlation of age and patterns of maxillofacial bone fractures and severity of associated injuries caused by motorcycle accidents. Ann Plast Surg 2019;83:e28–34.
19. Ruslin M. Maxillofacial fractures associated with accidents: epidemiology and consequences [PhD thesis] Makassar: Hasanuddin University; 2019.
20. Sharifi F, Samieirad S, Grillo R, Da Graca Naclerio-Homem M, Bardideh E, Manafi A, et al. Treatment options of maxillofacial fractures in Iran: a comprehensive systematic review. World J Plast Surg 2023;12:20–8.
21. Indonesian National Police. Traffic Accident Statistics 2023 [Internet]. Korlantas Polri c2023. [cited 2025 May 30]. Available from : https://korlantas.polri.go.id/laporan-tahunan-2023.pdf .
22. Government of Indonesia. Law 22 of 2009 on Road Traffic and Transportation [Internet] Ministry of Law and Human Rights; 2009. [cited 2025 May 30]. Available from: https://peraturan.bpk.go.id/Details/38654/uu-no-22-tahun-2009 .
23. Kusumastutie NS, Patria B, Kusrohmaniah S, Hastjarjo TD. A review of accident data for traffic safety studies in Indonesia. IOP Conf Ser Earth Environ Sci 2024;1294:012012.
24. Ayuningtyas KNS, Grzebieta R, Olivier J, Caponecchia C. Addressing Indonesia’s biggest road safety challenge: Reducing motorcycle deaths. IOP Conf Ser Earth Environ Sci 2024;1294:012013.

Article information Continued

Fig. 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 flowchart of the study selection process for this systematic review.

Table 1

Search strategy

Search strategy Terms used
Population #1 (Jaw Fractures [Text Word]) AND (maxillofacial) OR (oral AND (Motorcycle Traffic Accidents) #2 (guideline) OR (Jaw Fractures in Motorcycle Traffic Accidents)
Intervention #2 (Jaw Fractures in Motorcycle Traffic Accidents) AND (position paper) #4 (Jaw Fractures) AND (Fracture/methods”[MeSH])
Comparisons #3 (Maksilofacial) AND (position paper) #4 (bone graft) AND (Facial fracture/methods”[MeSH])
Outcomes #4 (Jaw Fractures in Motorcycle Traffic Accidents) AND (Oral surgery/methods”[MeSH])
Study design Randomized Controlled Trial And Quasi-Randomized Control Trials And Retrospective Study And Cross-Sectional Observational Study And Pilot Study
Inclusion criteria Research papers published institute, professional journals, or scientific research groups; consensus development conferences; practice guidelines; clinical conferences
Exclusion criteria Unclear research samples, absence of bias calculations, brief reviews, case reports

Table 2

Scottish Intercollegiate Guidelines Network (SIGN) criteria

SIGN criteria
Recommendation grade
 A Meta-analysis, RCT, or clinical research classified as 1++ and directly applicable to the target population in the guideline; alternatively, a large body of scientific evidence, including studies rated 1+, with remarkable consistency among them
 B Evidence includes studies graded as 2++, which are directly applicable to the guideline’s target population and exhibit great consistency among them, or extrapolated evidence from studies graded as 1++ or 1+
 C Evidence includes studies rated 2+ that are directly applicable to the guideline’s target population and demonstrate high consistency among them; or extrapolated evidence from studies rated 2++
 D Level 3 or 4 evidence or extrapolated evidence from studies graded as 2+

SIGN
 1++ High-quality meta-analyses, high-quality RCTs or clinical studies with shallow risk of bias
 1+ Well-conducted meta-analyses, well-conducted randomized studies, or clinical studies with low risk of bias
 1− Meta-analyses, randomized studies, or clinical studies with a high risk of bias
 2++ High-quality randomized, case-control, or cohort studies. Includes cohort or case-control studies with a shallow risk of bias and a high probability of establishing a causal relationship, as well as meta-analyses, randomized studies, or clinical studies with a high risk of bias
 2+ Quality randomized, case-control, or cohort studies. Includes cohort or case-control studies with a shallow risk of bias and a high probability of establishing a causal relationship, as well as meta-analyses, randomized studies, or clinical studies with a high risk of bias
 2− Cohort or case-control studies with a high risk of bias and a significant risk that the relationship is not causal
 3 Non-analytic studies, such as case reports and case series
 4 Expert opinion

RCT, randomized controlled trial.

Table 3

Risk of bias of included studies

Author (year) Random sequence generation (selection bias) Allocation concealment Blinding of participants and personnel Blinding of outcome assessment Incomplete outcome data Selective reporting Other bias Score Quality
Cabral et al. (2024) [14] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High
Chuang et al. (2019) [18] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High
Nawi et al. (2022) [4] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High
Natigor et al. (2023) [5] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High
Kuye et al. (2024) [6] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High
Ruslin et al. (2019) [8] + (High) + (High) + (High) + (High) − (High) + (High) − (High) 11 High

Score: Quality was categorized as low (score 1–4), medium (score 5–8), or high (score 9–12).

Table 4

Characteristics of included studies

Author (year) Study design Age Sex Fracture pattern Complications Indicator scale injury/method
Cabral et al. (2024) [14] RCT Most common age range was 21–30 yr (27.33%), followed by 31–40 yr (25.17%) 85% of male, with an overall male:female ratio of 5.6:1 Evaluated 506 records; 139 patients were diagnosed with mandibular condyle fractures, totaling 171 injuries Degeneration, malocclusion, mandibular deviation, mouth opening limitation, pain, paresthesia, facial paralysis, occlusal disorders, temporomandibular disorders Not reported
Chuang et al. (2019) [18] RCT Mean, 32.49±14.88 yr; 644 adults and 58 older adults 28 (71%) males
253 (29%) females
Zygomatic fracture: significant Fracture of condyle (10%): significant Fracture of symphysis: significant
Geriatric: significant
Angle (8%): significant
Not reported Trauma scoring systems (p<0.01)
Nawi et al. (2022) [4] RCT Not reported 252 (29.8%) males Zygomatic arch fracture: significant
Le Fort II: significant
Maxillary bone fracture: significant
Mandibular bone fracture: significant
Degeneration, malocclusion, mandibular deviation, mouth opening limitation, pain, paresthesia, facial paralysis, occlusal disorders, temporomandibular disorders Ordinal regression method
Natigor et al. (2023) [5] RCT Median age of participants with mandibular fractures: 27 yr (range, 12–69 yr). Most participants were >16 yr old (93.5%) and male (77.4%). The most common cause of injury was traffic accidents (79.0%) Of the patients, 48 were male (77.4%) and 14 (22.6%) were female Maxillary complex: significant
Mandibular fracture: significant
Frontal fracture: significant
Not reported Not reported
Kuye et al. (2024) [6] RCT Mean age: 7.3±5.3 yr (median: 6 yr), 47% (n=33) were under 5 yr, while 30% (n=21) were over 11 yr Male:female ratio=1.4:1
Male participants predominated by 58.6% to 41.4%. Mean age among males, 7.9±5.5 yr; mean age among females, 6.5±4.8 yr
Fractures of the symphysis/parasymphysis (35.5%), body (38.7%), ramus (6.2%), and condyle (6.2%) Degeneration, malocclusion, mandibular deviation, mouth opening limitation, pain, paresthesia, facial paralysis, occlusal disorders, temporomandibular disorders Dunn
Post-hoc test
Ruslin et al. (2019) [8] RCT 41 males, 7 females (p>0.05) Mean, 27.56 yr (range, 19–65 yr) Upper (p=0.091)
Middle (p=0.726)
Lower (p=0.121)
Not reported Abbreviated Injury Score
Serum neuron-specific enolase

RCT, randomized controlled trial.

Table 5

Characteristics of included studies, continued

Author (year) Incident Type of injury Effect
Cabral et al. (2024) [14] Motorcycle traffic accidents (49%) Not reported Not reported
Chuang et al. (2019) [18] Motorcycle traffic accidents (68.4%) Not reported Head injury, facial injury
Nawi et al. (2022) [4] Motorcycle accidents (50.7%) Mild (78.4%)
Moderate (8.5%)
Severe (13.1%)
Head injury, facial injury
Natigor et al. (2023) [5] Motorcycle traffic accidents (79%) Fracture location: symphysis in 37 patients (59.7%), non-symphysis in 13 patients (21.0%) Head injury, facial injury
Kuye et al. (2024) [6] Motorcycle traffic accidents (29%) Other facial bone fractures (8.6%)
Mandibular bone fractures (40%)
Soft tissue-only injuries (51%)
Head injury, facial injury
Ruslin et al. (2019) [8] Motorcycle traffic accidents (100%) Facial injury (100%) Not reported