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Iranian Journal of Public Health logoLink to Iranian Journal of Public Health
. 2023 Sep;52(9):1818–1831. doi: 10.18502/ijph.v52i9.13565

Epidemiology of Traumatic Brain Injury in Iran: A Systematic Review and Meta-Analysis

Mohsen Saheban Maleki 1, Seyed Amirhossein Mazaheri 2, Seyed Hossein Hosseini 3, Hesamedin Askari Majdabadi 4, Mohsen Poursadeqiyan 5, Aboalfazl Faghihi 6, Zeinab Naderi 7, Tayebeh Ilaghinezhad Bardsiri 7, Behzad Khedri 8, Nasir Amanat 4, Farahnaz Khajehnasiri 9,*, Reyhaneh Ivanbagha 10,*
PMCID: PMC10682591  PMID: 38033848

Abstract

Background:

Traumatic brain injury (TBI) is one of leading cause of death and disability in Iran that has serious consequences on people’s health. Understanding of epidemiology of TBI can be helpful for policy making in health care management. Therefore, this study aimed to examine the epidemiology of TBI in Iran.

Methods:

PubMed, Web of Science, Scopus, Google scholar, and internal databases including, SID, Magiran, and IranMedex were searched to identify the relevant published studies up to Feb 2022. Moreover, the references list of key studies was scanned to find more records. The Joanna Briggs Institute (JBI) tool was used to assess the quality of included studies. The Excel and Comprehensive Meta-Analysis software were to analyze the data.

Results:

Overall, 23,446 patients from 15 studies were included in the study. The overall mean age of the patients was 31.36 ± 0.13 yr (95%CI: 31.10 to 31.61). The majority of the patients were male (74.37%), with a male to female ratio of 3:1. The incidence rate of TBI was 15.3 to 144 per 100,000 population. The mortality rate of TBI was estimated to be 10.4% (95%CI: 5% to 19%). The most common causes of injury were road traffic accidents (RTAs) (60%; 95%CI: 49% to 70%), and falling (20%; 95%CI: 16% to 26%), respectively. The most frequent type of head injury was subdural hematoma.

Conclusion:

Our findings highlight that appropriate control and prevention strategies should be focused on male, road traffic accidents, and the group under 40 yr.

Keywords: Brain injuries, Epidemiology, Prevalence, Incidence, Risk factors

Introduction

Traumatic brain injury (TBI) is a major cause of death and long-term disability in developed and developing countries across the world (1, 2) and responsible for one-half of all trauma deaths (3). TBI is defined as the disruption in brain function, or other evidence of brain pathology, caused by an external physical force (4). According to the Glasgow Coma Scale (GCS), TBI is classified based on severity into three categories: mild, moderate, and severe (5). The most common causes of TBI are falls, motor vehicle collisions, assaults (6, 7). Age ≥75 yr, male sex (8), injury severity, comorbidity, length of hospital stay, and rate of in-hospital mortality have been suggested as risk factors related to TBI (9).

TBI is one of the main causes of mortality and morbidity due to trauma in Iran (10). The consequences of TBI in Iran is significant in terms of economic burden (11). The yearly incidence of TBI is estimated at 50 million cases worldwide (12). In Europe, the overall incidence of TBI is 262 per 100,000 population (13). In addition, in the United States, TBI incidence rate is between 180 and 250 per 100,000 population per year (14). The prevalence of TBI in low- and middle-income countries varies from 1% in China to 15% in Mexico and Venezuela (15). The incidence of TBI in Iran was reported at around 295/100,000(16).

TBI is associated with a number of diseases such as Alzheimer’s disease (17), Parkinson’s disease (18), dementia (19), mild cognitive impairment, depression, mixed affective disorders (20), bipolar disorder (21), and sleep disturbances (22). Epidemiological characteristics of TBIs such as cause and type of TBI vary from one country to another. Therefore, understanding epidemiology of TBI can be helpful for policy-making in the health care system (23). Since there is no currently systematic review and meta-analysis on the epidemiology of TBI in Iran, this study aimed to investigate the patients’ characteristics suffered from TBI, causes and patterns of TBIs, and mortality rate due to TBIs in Iran.

Materials and Methods

We used the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guideline (24) when writing our report.

Search strategy

A search systematic was performed in PubMed, Web of Science, Scopus, SID, Magiran, IranMedex, and Google scholar to identify the eligible published studies up to 31 Dec 2021. In addition, the references list of the key studies was reviewed to identify additional relevant resources. Studies were limited to English and Persian. Key search terms were traumatic brain injury, TBI, epidemiology, risk factor, mortality, prevalence, incidence, etiology, and Iran.

The following search strategy: (traumatic brain injury [Title/Abstract) OR (traumatic brain injury [MeSH Terms]) OR (TBI[Title/Abstract]) OR (brain injury [MeSH Terms]) OR (head injury [MeSH Terms]) OR (brain injury [Title/Abstract]) AND (Iran [Title/Abstract])

Study selection

Initially, duplicate articles were removed. Then, in the next step, the two authors independently reviewed the titles and abstracts of the articles. In the next step, the full text of the remaining articles was reviewed and excluded if they did not meet the inclusion criteria. Disputes between the two authors over whether or not the articles were eligible were resolved through discussion and the entry of a third author. The process of screening and identifying related articles was performed by two authors (RA and HAM) independently based on inclusion criteria. The inclusion criteria used for selecting the articles were including: 1) Population: Iranian populations with TBI, 2) Intervention: TBI, 3) Comparison: no TBI, 4) Outcome: mortality, prevalence, incidence, and risk factors. Case series, case reports, the letter to editors, and so forth were excluded.

Risk of bias assessment and certainty of evidence

The quality of included studies was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist which contains eight questions addressing the quality and possibility of bias in a study (25). The grading of recommendations assessment, development and evaluation (GRADE) approach was used to assess the certainty in the body of evidence (26). This tool consists of five domains; risk of bias, inconsistency, indirectness, imprecision and publication bias.

Data extraction

Two authors (RA and HAM) independently extracted the epidemiological and demographic data using the identical extraction form. The extracted information was including, first author, year of publication, mean age, sex, province, sample size, study period, causes of TBI, most frequent types of head injuries, and mortality rate.

Statistical analysis

Excel and Comprehensive Meta-Analysis were used to analyze the data. The mean difference (MD) and the risk ratio (RR) with a 95% confidence interval (CI) were used for continues and dichotomous variables, respectively. High heterogeneity was considered as I2>50% or P<0.1. The random-effects model was used for studies with high heterogeneity. Otherwise, we used the fixed-effect model.

Results

Study characteristics and design

The process of identifying, screening, and selecting studies based on the title, abstract, and full text of the studies by the two authors is shown in Fig. 1. Overall, 300 studies were identified and after eliminating duplicates, 184 studies were reviewed based on title and abstract, of which 165 studies were excluded according to inclusion criteria. The full text of the remaining 19 studies was reviewed, and finally, 15 studies (10, 23, 2739) with 23446 people that met the inclusion criteria were included in the evidence synthesis. The period of publication of articles was between 2016 and 2020. The main characteristics of the studies included are shown in Table 1.

Fig. 1:

Fig. 1:

PRISMA flowchart of the study selection process

Table 1:

Characteristics of studies included in systematic review and meta-analysis

Study, year Study period City Mean age N M/f Causes of tbi Most frequent types of head injuries Mortality (m/f)
Ahadi, 2018 (34) 2009–2013 Tehran 38.8 ± 18.7 3818 3306/512 Transport accidents, fall, exposure to mechanical forces, assault Subarachnoid haemorrhage, diffuse, epidural haemorrhage, subdural haemorrhage 16% (15.3%/20.9%)
Saatian, 2017 (23) 2013–2016 Hamedan 29.7 ± 21.46 9426 6258/3168 Vehicle accidents, various types of falls, assault by bodily force Diffuse, subarachnoid hemorrhage, other intracranial injuries 4.79% (5.69%/3%)
Monsef kasmaei, 2015 (32) 2012–2013 Rasht 38.5 ± 21.7 1000 818/182 Motorbike rider, falling, same level falling, car accident, bike accident, intentional damage Subdural, epidural bleeding 23.3% (82.6%/17.4%)
Khalili, 2017 (33) 2013–2014 Shiraz 34.8±15.5 142 127/15 Road traffic accidents, fall, others Subdural hematoma, contusion, tight brain, epidural hematoma 40.8%
Khalili, 2016 (10) 2010–2012 Shiraz 34.6±16.6 248 216/32 Road traffic, fall, assault, others Nr Nr
Gilani, 2017 (29) 2008–2010 Kashan 35.4±8.6 239 208/31 Vehicle, fall and boll Nr Nr
Rezaei, 2015(35) 2011–2012 Rasht 37.45 ± 17.42 185 171/14 Motorcycle, acciednt, backfall, fall, pedestrain, hit the object, Nr Nr
Saadat, 2012 (36) 1999–2004 Multi 30.1 ± 19.11 2274 1794/480 Nr Nr 16.9% (18.2%/12.2%)
Vafaee, 2013 (38) 2012–2012 Tehran 33 4644 3459/1077 Motor vehicle accidents, falls, assaults Nr 0.71%
Ziaeirad, 2018 (39) 2014–2015 Isfahan 43.86 ± 18.40 267 233/34 Rtas, fall, others Subdural hematoma, subarachnoid hemorrhage, cerebral edema, intracranial hematoma, epidural hematoma Nr
Badebarin, 2021 (27) 2018 Tabriz 6.52±3.95 114 80/34 Traffic accidents, falling, pure head trauma Epidural hematoma, brain contusion 7.17%
Farzaneh, 2017 (28) 2013–2014 Ardabil 22.6 ± 25.9 204 146/58 Traffic accidents, falls, invasion, other causes Nr Nr
Sharbafshaaer, 2021 (37) 2017 Zahedan 32.35 445 361/84 Car-accident-multiple-trauma, head-trauma, car-accident, falling, motor-accident, mi Nr Nr
Hosseininejad, 2019 (31) 2016–2017 Mazandaran 65.54±6.42 122 Nr Interpersonal violence, fall, others, traffic collision Nr Nr
Hejini Nejad, 2015 (30) 2012 Rafsanjan 28.28+17.69 318 260/58 Motor vehicles with pedestrians, fall Nr Nr

Risk of bias assessment and quality of the evidence

The methodological quality of included studies was moderate, as presented in Table 2. Additionally, the quality of the evidence for each outcome is presented in Table 3.

Table 2:

The result of quality assessment of included studies using Joanna Briggs Institute (JBI)

Study, Year Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Overall
Ahadi, 2018 Yes Yes Yes Yes No No Yes Yes Included
Saatian, 2017 Yes Yes Yes Yes Yes Yes Yes Yes Included
Kasmaei, 2015 Yes Yes Yes Yes No No Yes Yes Included
Khalili, 2017 Yes Yes Yes Yes Yes Yes Yes Yes Included
Khalili, 2016 Yes Yes Yes Yes Yes Yes Yes Yes Included
Gilani, 2017 Yes Yes Yes Yes No No Yes Yes Included
Rezaei, 2015 Yes Yes Yes Yes No No Yes Yes Included
Saadat, 2012 Yes Yes Yes Yes No No Yes Yes Included
Vafaee, 2013 Yes Yes Yes Yes No No Yes Yes Included
Ziaeirad, 2018 Yes Yes Yes Yes No No Yes Yes Included
Badebarin, 2021 Yes Yes Yes Yes No No Yes Yes Included
Farzaneh, 2017 Yes Yes Yes Yes No No Yes Yes Included
Sharbafshaaer, 2021 Yes Yes Yes Yes No No Yes Yes Included
Hosseininejad, 2019 Yes Yes Yes Yes No No Yes Yes Included
Hejini nejad, 2015 Yes Yes Yes Yes No No Yes Yes Included

Question 1. Were the criteria for inclusion in the sample clearly defined?

Question 2. Were the study subjects and the setting described in detail?

Question 3. Was the exposure measured in a valid and reliable way?

Question 4. Were objective, standard criteria used for measurement of the condition? Question 5. Were confounding factors identified?

Question 6. Were strategies to deal with confounding factors stated?

Question 7. Were the outcomes measured in a valid and reliable way?

Question 8. Was appropriate statistical analysis used?

Table 3:

Assessment of Certainty of Evidence Using the GRADE Approach

Certainty assessment Effect Certainty
No. of studies Study design Risk of bias Inconsistency Indirectness Imprecision Other considerations Relative (95% CI)
Mortality rate
9 Observational Not serious Very serious Not serious Not serious None RR= 0.10 (0.05, 0.19) Moderate
Road traffic accident
Observational Not serious Very serious Not serious Not serious None RR = 0.60 (0.49, 0.75) Moderate
Falls
Observational Not serious Very serious Not serious Not serious None RR = 0.20 (0.16, 0.26) Moderate
Assaults
Observational Not serious Very serious Not serious Not serious None RR = 0.07 (0.04, 0.13) Moderate
Other causes of TBI
Observational Not serious Very serious Not serious Not serious None RR = 0.07 (0.04, 0.11) Moderate

Patients’ demographics

The mean age of the patients was 31.36 ± 0.13 yr (CI: 31.10 to 31.61) with range 6.5 ± 0.37 to 65.57 ± 0.58 yr. Out of 23446 patients, 17437 (74.37%) were males. The most age group was people under 40 yr. The male to female ratio was around 3:1. The highest study population was 9426 and the lowest was 114. Out of 15 studies, one study was performed on children with a mean age of 6.52±3.95 yr. The lowest and highest male-to-female ratios were and in northern and southeastern Iran, respectively.

Causes of TBI

Of the 15 studies included in the meta-analysis, only two studies did not report the causes of TBI. The road traffic accidents (RTAs) (60%; 95%CI: 49% to 70%) were the major cause of TBI in Iran. (Fig. 2) Falling (20%; 95%CI: 16% to 26%) was the second major cause of TBI (Fig. 3). Other causes (8%; 95% CI: 4% to 13%) (Fig. 4), and assault (7.4%; 95% CI: 4% to 11.9%) (Fig. 5) were the third and fourth leading cause of TBI, respectively.

Fig. 2:

Fig. 2:

Forest plot of RTAs of TBI

Fig. 3:

Fig. 3:

Forest plot of falling of TBI

Fig. 4:

Fig. 4:

Forest plot of other causes of TBI

Fig. 5:

Fig. 5:

Forest plot of assault of TBI

Incidence of TBI

One population-based study conducted in Tehran in 2008 showed that the annual incidence rate of TBI was 15.3 to 144/100,000 populations (16). The incidence of TBI among males was higher. Moreover, RTA was the main leading of TBI among patients suffered from TBI.

Types of head injuries

Six studies reported head injuries, with subdivisions in three studies, vertigo in one study, epidurals in one study, and subarachnoid having the highest incidence of head injuries. Subdural was the most common type of head injury.

Mortality rate

Out of 15 studies, 9 studies reported mortality. Four studies reported mortality by gender, in one study, mortality rate in females was higher than males. The mortality rate was 10.4% based on the results of meta-analysis (RR= 0.1; 95% CI: 0.05 to 0.18) (Fig. 6).

Fig. 6:

Fig. 6:

Forest plot of mortality rate of TBI

Discussion

To the best of our knowledge, this is the first systematic review and meta-analysis that provides a broad outlook on the epidemiology of TBIs in Iran.

According to the present study, the overall mean age of TBI in the Iranian population was 31.36 ± 0.13 yr which is similar to countries located in the Middle East and North Africa (31.32 yr) such as Turkey, Saudi Arabia, Egypt, Jordan, Kuwait, and Qatar (40). The similar result found in TBI in India, which the mean age of TBI was reported 32.15 yr (41). However, the mean age of patients with TBI in Iranian population was younger than countries such as China (42) and Japan (43). The findings of the present study also showed that TBI was more frequent in the males. The similar pattern were reported in different regions such as India (44), Europe (13, 45, 46), United States (1), Middle East and North Africa (47, 48), and global (49). Men were almost 4 times more likely to be hospitalized due to TBI than women. This could be partly due to the greater population at risk and the fact that males have more cars compared to females (50).

Our results demonstrated that RTAs and falling were the most commonly reported causes of TBI. A similar pattern was observed in other regions of the world as well (4447). In accordance with our findings, the most common causes of TBI in developing and developed countries are motor vehicles and falling, respectively (51). However, falling and road traffic accidents were the main causes of TBI, respectively (13). Difference between these results can be attributable to age, socioeconomic factors, geographic region, and income level (52). Based on the literature, improving road conditions, increasing driving culture, interaction between drivers and pedestrians, and intellectual transport system can be considered by planners to reduce RTAs, main leading of TBIs, in Iran (27, 53).

Our meta-analysis findings showed that the mortality rate of TBI was 10.4%. This finding is in line with a systematic review conducted on Middle East countries in which the mortality rate of TBI was reported 10% (47). A meta-analysis of TBI in Middle East and North Africa region in which the mortality rate due to TBI was 12.5%, the fairly high rates in study of Al-Hajj may be partly attributed to the military conflicts in Syria, Iraq, Afghanistan and Lebanon countries (48). When comparing our results to El-Menyar and Al-Hajj studies, a similar pattern of results was obtained in according Middle East region. Factors such as the long distance to the nearest neurosurgery center, the lack of efficient medical equipment and teams of neurosurgeons, severe head injury, delayed admission to hospital, and the unavailability of specialized hospitals can impact on increased mortality rate (54, 55). Other risk factors related-mortality rates in patients with TBI are including age, gender, severe TBI, CT findings, Glasgow coma scale, pupil examination, and the presence of thoracic trauma at admission, and geographic region (56, 57). Another explanation of higher mortality rate due to TBI in Iran is that TBIs are higher in low- and middle-income countries compared with developed countries (52, 58, 59). The inadequate access to healthcare services, Socio-cultural factors, and the high number of motorcyclists are among the causes of the difference in mortality rates (58, 60). Iran is among the leading countries in terms of the highest mortality rates of RTAs in the world (61). In Iran, head injuries are the leading cause of death in road accidents in Iran (6264). Recently, in Iran, the risk of death in road accidents in men was 1.66 times higher than in women, and with each year of age, this risk increases by 1% (65). Gender is a risk factor in the TBI-related mortality rate. Therefore, the male gender can be considered as a risk factor for TBI. There is a relationship between age, gender, and geographic variation with increased mortality due to TBI (66). One of the best strategies that health care system should consider to reduce the mortality rate caused by TBIs is to improve the quality and speed of services in pre-hospital and emergency departments (27).

Several limitations must be noted when interpreting the results. First, the main limitation of the present study naturally was that incidence and prevalence rates did not report in included studies. Second, a small number of studies reported the mortality rate and types of injuries in patients with TBI. Finally, most studies were conducted in Tehran, the capital of Iran, which can affect the generalizability of our findings.

Conclusion

Age, male and RTAs are most important risk factors for TBIs in Iran. Furthermore, the mortality rate due to TBI in Iranian population was similar to developing countries. Appropriate preventative and control strategies for TBI in Iran should focus on males, RTAs, and the age group under 40 yr. These findings can be helpful in research, health care management, and policymaking at the national level in Iran to consider the cost-effectiveness strategies. Further research should focus on the causes and patterns of TBIs, and mortality rate by sex, age groups, and setting.

Journalism Ethics considerations

Ethical issues (Including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.

Acknowledgements

We are thankful to the authors of the studies included in this systematic review and meta-analysis.

Footnotes

Funding Sources

None

Data availability statement information

The data that support the findings of this study are openly available in (10, 23, 2739).

Conflict of interests

The authors have no conflicts of interest to declare.

References

  • 1.Taylor CA, Bell JM, Breiding MJ, et al. (2017). Traumatic brain injury–related emergency department visits, hospitalizations, and deaths—United States, 2007 and 2013. MMWR Surveill Summ, 66(9):1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hyder AA, Wunderlich CA, Puvanachandra P, et al. (2007). The impact of traumatic brain injuries: a global perspective. NeuroRehabilitation, 22(5):341–53. [PubMed] [Google Scholar]
  • 3.World Health Organization (2006). Neurological disorders: public health challenges. available from https://apps.who.int/iris/handle/10665/43605
  • 4.Timofeev I, Santarius T, Kolias A, et al. (2012). Decompressive craniectomy—operative technique and perioperative care. Adv Tech Stand Neurosurg, Springer, Vienna, pp. 115–36. [DOI] [PubMed] [Google Scholar]
  • 5.Hawryluk GW, Manley GT. (2015). Classification of traumatic brain injury: past, present, and future. Handb Clin Neurol, 127:15–21. [DOI] [PubMed] [Google Scholar]
  • 6.Dewan MC, Mummareddy N, Wellons JC, III, et al. (2016). Epidemiology of global pediatric traumatic brain injury: qualitative review. World Neurosurg, 91:497–509. e1. [DOI] [PubMed] [Google Scholar]
  • 7.Harvey LA, Close JCT. (2012). Traumatic brain injury in older adults: characteristics, causes and consequences. Injury, 43(11):1821–6. [DOI] [PubMed] [Google Scholar]
  • 8.Coronado VG, Xu L, Basavaraju SV, et al. (2011). Surveillance for traumatic brain injury-related deaths; United States, 1997–2007. available from https://stacks.cdc.gov/view/cdc/6014 [PubMed]
  • 9.Fu TS, Jing R, McFaull SR, et al. (2015). Recent trends in hospitalization and in-hospital mortality associated with traumatic brain injury in Canada: a nationwide, population-based study. J Trauma Acute Care Surg, 79(3):449–54. [DOI] [PubMed] [Google Scholar]
  • 10.Khalili H, Sadraei N, Niakan A, et al. (2016). Role of intracranial pressure monitoring in management of patients with severe traumatic brain injury: results of a large level I trauma center in Southern Iran. World Neurosurg, 94:120–5. [DOI] [PubMed] [Google Scholar]
  • 11.Kavosi Z, Jafari A, Hatam N, et al. (2015). The economic burden of traumatic brain injury due to fatal traffic accidents in Shahid Rajaei Trauma Hospital, Shiraz, Iran. Arch Trauma Res, 4(1):e22594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Faul M, Wald MM, Xu L, et al. (2010). Traumatic brain injury in the United States; emergency department visits, hospitalizations, and deaths, 2002–2006. avaiable from https://www.cdc.gov/traumaticbraininjury/tbi_ed.html
  • 13.Peeters W, van den Brande R, Polinder S, et al. (2015). Epidemiology of traumatic brain injury in Europe. Acta Neurochir, 157(10):1683–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bruns J, Jr, Hauser WA. (2003). The epidemiology of traumatic brain injury: a review. Epilepsia, 44(s10):2–10. [DOI] [PubMed] [Google Scholar]
  • 15.Khan A, Prince M, Brayne C, Prina AM. (2015). Lifetime prevalence and factors associated with head injury among older people in low and middle income countries: a 10/66 study. PLoS One, 10(7):e0132229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rahimi-Movaghar V, Saadat S, Rasouli MR, et al. (2011). The incidence of traumatic brain injury in Tehran, Iran: a population based study. Am Surg, 77(6):112–4. [PubMed] [Google Scholar]
  • 17.Zhang J, Zhang Y, Zou J, et al. (2021). A meta-analysis of cohort studies: Traumatic brain injury and risk of Alzheimer’s Disease. PLoS One. 2021;16(6):e0253206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gardner RC, Burke JF, Nettiksimmons J, et al. (2015). Traumatic brain injury in later life increases risk for Parkinson disease. Ann Neurol, 77(6):987–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Snowden TM, Hinde AK, Reid HM, et al. (2020). Does mild traumatic brain injury increase the risk for dementia? A systematic review and meta-analysis. J Alzheimers Dis, 78(2):757–75. [DOI] [PubMed] [Google Scholar]
  • 20.Davari M, Amani B, Amani B, et al. (2020). Pregabalin and gabapentin in neuropathic pain management after spinal cord injury: a systematic review and meta-analysis. Korean J Pain, 33(1):3–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Perry DC, Sturm VE, Peterson MJ, et al. (2016). Association of traumatic brain injury with subsequent neurological and psychiatric disease: a meta-analysis. J Neurosurg, 124(2):511–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Grima N, Ponsford J, Rajaratnam SM, et al. (2016). Sleep disturbances in traumatic brain injury: a meta-analysis. J Clin Sleep Med, 12(3):419–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Saatian M, Ahmadpoor J, Mohammadi Y, et al. (2018). Epidemiology and pattern of traumatic brain injury in a developing country regional trauma center. Bull Emerg Trauma, 6(1):45–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Moher D, Liberati A, Tetzlaff J, et al. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med, 151(4):264–9. [DOI] [PubMed] [Google Scholar]
  • 25.Munn Z, Moola S, Riitano D, et al. (2014). The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence. Int J Health Policy Manag, 3(3):123–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhang Y, Coello PA, Guyatt GH, et al. (2019). GRADE guidelines: Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains. J Clin Epidemiol, 111:83–93. [DOI] [PubMed] [Google Scholar]
  • 27.Badebarin D, Abadi SA, Farhadi E, et al. (2021). Head Trauma in Children: An Epidemiological Study. Iran J Pediatr Surg, 7(1):15–21. [Google Scholar]
  • 28.Farzaneh E, Fattahzadeh-Ardalani G, Abbasi V, et al. (2017). The epidemiology of hospital-referred head injury in Ardabil City. Emerg Med Int, 2017: 1439486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gilani N, Kazemnejad A, Zayeri F, et al. (2017). Predicting outcomes in traumatic brain injury using the glasgow coma scale: a joint modeling of longitudinal measurements and time to event. Iran Red Crescent Med J, 19(2):1–7. [Google Scholar]
  • 30.Hejini Nejad M, Hadavi M, Esmaeilzadeh S. (2017). Assessment of epidemiology of traumatic brain injuries and its consequences in Rafsanjan: A descriptive study. Community Health J, 9(3):37–46. [Google Scholar]
  • 31.Hosseininejad SM, Jahanian F, Goli-Khatir I, et al. (2019). Minor head trauma and its short-term outcomes among elderly patients: a prospective epidemiological study in North of Iran. Materia Socio Medica, 31(3): 186–189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kasmaei VM, Asadi P, Zohrevandi B, et al. (2015). An epidemiologic study of traumatic brain injuries in emergency department. Emergency, 3(4): 141–145. [PMC free article] [PubMed] [Google Scholar]
  • 33.Khalili H, Niakan A, Ghaffarpasand F, et al. (2017). Outcome determinants of decompressive craniectomy in patients with traumatic brain injury; a single center experience from southern Iran. Bull Emerg Trauma, 5(3): 190–196. [PMC free article] [PubMed] [Google Scholar]
  • 34.Ahadi R, Riahi E, Daneshi A, et al. (2018). The incidence of traumatic brain injury in Tehran, Iran. Brain Inj, 32(4):487–92. [DOI] [PubMed] [Google Scholar]
  • 35.Rezaei S, Moghadam AD, Khodadadi N, et al. (2015). Functional independence measure in Iran: A confirmatory factor analysis and evaluation of ceiling and floor effects in traumatic brain injury patients. Arch Trauma Res, 4(4):e25363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Saadat S, Akbari H, Khorramirouz R, et al. (2012). Determinants of mortality in patients with traumatic brain injury. Ulus Travma Acil Cerrahi Derg, 18(3):219–24. [PubMed] [Google Scholar]
  • 37.Sharbafshaaer M. (2021). Epidemiology, Reported Injury Characteristics of Brain Trauma: Evidences Collected from a Level-One-Trauma Center in Zahedan City, Iran. Hospital Practices and Research, 6(1):7–10. [Google Scholar]
  • 38.Vafaee R, Vafaei A, Forouzanfar MM, et al. (2013). Epidemiology of traumatic brain injury in Iranian population: the results of a multicenter study. Wulfenia, 20(9):257–63. [Google Scholar]
  • 39.Ziaeirad M, Alimohammadi N, Irajpour A, et al. (2018). Association between outcome of severe traumatic brain injury and demographic, clinical, injury-related variables of patients. Iran J Nurs Midwifery Res, 23(3):211–216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Elshahidi MH, Monir NY, Elzhery MA, et al. (2018). Epidemiological characteristics of traumatic spinal cord injury (TSCI) in the Middle-East and North-Africa (MENA) Region: A systematic review and meta-analysis. Bull Emerg Trauma, 6(2): 75–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kamal VK, Agrawal D, Pandey RM. (2016). Epidemiology, clinical characteristics and outcomes of traumatic brain injury: Evidences from integrated level 1 trauma center in India. J Neurosci Rural Pract, 7(04):515–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Sun D, Jiang B, Ru X, et al. (2020). Prevalence and altered causes of traumatic brain injury in China: a nationwide survey in 2013. Neuroepidemiology, 54(2):106–13. [DOI] [PubMed] [Google Scholar]
  • 43.Shinoda J, Nagamine Y, Kobayashi S, et al. (2019). Multidisciplinary attentive treatment for patients with chronic disorders of consciousness following severe traumatic brain injury in the NASVA of Japan. Brain Inj, 33(13–14):1660–70. [DOI] [PubMed] [Google Scholar]
  • 44.Massenburg BB, Veetil DK, Raykar NP, et al. (2017). A systematic review of quantitative research on traumatic brain injury in India. Neurol India, 65(2):305–14. [DOI] [PubMed] [Google Scholar]
  • 45.Brazinova A, Rehorcikova V, Taylor MS, et al. (2021). Epidemiology of traumatic brain injury in Europe: a living systematic review. J Neurotrauma, 38(10):1411–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Tagliaferri F, Compagnone C, Korsic M, et al. (2006). A systematic review of brain injury epidemiology in Europe. Acta Neurochir, 148(3):255–68. [DOI] [PubMed] [Google Scholar]
  • 47.El-Menyar A, Mekkodathil A, Al-Thani H, et al. (2017). Latifi R. Incidence, Demographics, and Outcome of Traumatic Brain Injury in The Middle East: A Systematic Review. World Neurosurg, 107:6–21. [DOI] [PubMed] [Google Scholar]
  • 48.Al-Hajj S, Hammoud Z, Colnaric J, et al. (2021). Characterization of traumatic brain injury research in the Middle East and North Africa region: a systematic review. Neuroepidemiology, 55(1):1–12. [DOI] [PubMed] [Google Scholar]
  • 49.Nguyen R, Fiest KM, McChesney J, et al. (2016). The international incidence of traumatic brain injury: a systematic review and meta-analysis. Can J Neurol Sci, 43(6):774–85. [DOI] [PubMed] [Google Scholar]
  • 50.Ortiz-Prado E, Mascialino G, Paz C, et al. (2020). A nationwide study of incidence and mortality due to traumatic brain injury in Ecuador (2004–2016). Neuroepidemiology, 54(1):33–44. [DOI] [PubMed] [Google Scholar]
  • 51.Li M, Zhao Z, Yu G, et al. (2016). Epidemiology of traumatic brain injury over the world: a systematic review. Gen Med, 4(5):e275–e. [Google Scholar]
  • 52.Dewan MC, Rattani A, Gupta S, et al. (2018). Estimating the global incidence of traumatic brain injury. J Neurosurg, 130(4):1080–97. [DOI] [PubMed] [Google Scholar]
  • 53.Karpova G, Sigova M, Kruglova I, et al. (2017). Conditions and current trends for improving road safety in federal highways in Russia. Transp Res Proc, 20:272–6. [Google Scholar]
  • 54.Okidi R, Ogwang DM, Okello TR, et al. (2020). Factors affecting mortality after traumatic brain injury in a resource-poor setting. BJS Open, 4(2):320–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lecky FE, Russell W, McClelland G, et al. (2017). Bypassing nearest hospital for more distant neuroscience care in head-injured adults with suspected traumatic brain injury: findings of the head injury transportation straight to neurosurgery (HITS-NS) pilot cluster randomised trial. BMJ Open, 7(10):e016355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Martins ET, Linhares MN, Sousa DS, et al. (2009). Mortality in severe traumatic brain injury: a multivariated analysis of 748 Brazilian patients from Florianópolis City. J Trauma, 67(1):85–90. [DOI] [PubMed] [Google Scholar]
  • 57.Hukkelhoven CW, Steyerberg EW, Rampen AJ, et al. (2003). Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients. J Neurosurg, 99(4):666–73. [DOI] [PubMed] [Google Scholar]
  • 58.De Silva MJ, Roberts I, Perel P, et al. (2009). Patient outcome after traumatic brain injury in high-, middle- and low-income countries: analysis of data on 8927 patients in 46 countries. Int J Epidemiol, 38(2):452–8. [DOI] [PubMed] [Google Scholar]
  • 59.Roozenbeek B, Maas AI, Menon DK. (2013). Changing patterns in the epidemiology of traumatic brain injury. Nat Rev Neurol, 9(4):231–6. [DOI] [PubMed] [Google Scholar]
  • 60.Staton CA, Msilanga D, Kiwango G, et al. (2017). A prospective registry evaluating the epidemiology and clinical care of traumatic brain injury patients presenting to a regional referral hospital in Moshi, Tanzania: challenges and the way forward. Int J Inj Contr Saf Promot, 24(1):69–77. [DOI] [PubMed] [Google Scholar]
  • 61.Shams M, Mohebi F, Gohari K, et al. (2021). The level and trend of road traffic injuries attributable mortality rate in Iran, 1990–2015: a story of successful regulations and a roadmap to design future policies. BMC Public Health, 21(1):1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Entezami N, Hashemi-Nazari SS, Soori H, et al. (2015). Epidemiology of fatal road traffic accidents in Northern provinces of Iran during 2009 to 2010. Safety Promot Inj Prev, 3(1):1–8. [Google Scholar]
  • 63.Sadeghi-Bazargani H, Ayubi E, Azami-Aghdash S, et al. (2016). Epidemiological patterns of road traffic crashes during the last two decades in Iran: a review of the literature from 1996 to 2014. Arch Trauma Res, 5(3):e32985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Montazeri A. (2004). Road-traffic-related mortality in Iran: a descriptive study. Public Health, 118(2):110–3. [DOI] [PubMed] [Google Scholar]
  • 65.Yousefifard M, Toloui A, Ahmadzadeh K, et al. (2021). Risk Factors for Road Traffic Injury-Related Mortality in Iran; a Systematic Review and Meta-Analysis. Arch Acad Emerg Med, 9(1):e61–e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Hu J, Ugiliweneza B, Meyer K, et al. (2013). Trend and geographic analysis for traumatic brain injury mortality and cost based on MarketScan database. J Neurotrauma, 30(20):1755–61. [DOI] [PubMed] [Google Scholar]

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