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Fulltext Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients

Vepa A, Saleem A, Rakhshan K, Daneshkhah A, Sedighi T, Shohaimi S, et al.

Int J Environ Res Public Health, 2021 06 09;18(12).
PMID: 34207560 DOI: 10.3390/ijerph18126228

BACKGROUND: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making.
METHODS: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
RESULTS: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
Fulltext Statistical Modelling of the Effects of Weather Factors on Malaria Occurrence in Abuja, Nigeria

Segun OE, Shohaimi S, Nallapan M, Lamidi-Sarumoh AA, Salari N

Int J Environ Res Public Health, 2020 05 16;17(10).
PMID: 32429373 DOI: 10.3390/ijerph17103474

Background: despite the increase in malaria control and elimination efforts, weather patterns and ecological factors continue to serve as important drivers of malaria transmission dynamics. This study examined the statistical relationship between weather variables and malaria incidence in Abuja, Nigeria. Methodology/Principal Findings: monthly data on malaria incidence and weather variables were collected in Abuja from the year 2000 to 2013. The analysis of count outcomes was based on generalized linear models, while Pearson correlation analysis was undertaken at the bivariate level. The results showed more malaria incidence in the months with the highest rainfall recorded (June-August). Based on the negative binomial model, every unit increase in humidity corresponds to about 1.010 (95% confidence interval (CI), 1.005-1.015) times increase in malaria cases while the odds of having malaria decreases by 5.8% for every extra unit increase in temperature: 0.942 (95% CI, 0.928-0.956). At lag 1 month, there was a significant positive effect of rainfall on malaria incidence while at lag 4, temperature and humidity had significant influences. Conclusions: malaria remains a widespread infectious disease among the local subjects in the study area. Relative humidity was identified as one of the factors that influence a malaria epidemic at lag 0 while the biggest significant influence of temperature was observed at lag 4. Therefore, emphasis should be given to vector control activities and to create public health awareness on the proper usage of intervention measures such as indoor residual sprays to reduce the epidemic especially during peak periods with suitable weather conditions.
Fulltext A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network

Salari N, Shohaimi S, Najafi F, Nallappan M, Karishnarajah I

PLoS One, 2014;9(11):e112987.
PMID: 25419659 DOI: 10.1371/journal.pone.0112987

Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. In the present study, the results of the implementation of a novel hybrid feature selection-classification model using the above mentioned methods are presented. The purpose is benefitting from the synergies obtained from combining these technologies for the development of classification models. Such a combination creates an opportunity to invest in the strength of each algorithm, and is an approach to make up for their deficiencies. To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. Second, the obtained results that included arrays of the top-ranked features were used as the initial population of a genetic algorithm to produce optimum arrays of features. Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. The performance of the proposed model was compared with thirteen well-known classification models based on seven datasets. Furthermore, the statistical analysis was performed using the Friedman test followed by post-hoc tests. The experimental findings indicated that the novel proposed hybrid model resulted in significantly better classification performance compared with all 13 classification methods. Finally, the performance results of the proposed model was benchmarked against the best ones reported as the state-of-the-art classifiers in terms of classification accuracy for the same data sets. The substantial findings of the comprehensive comparative study revealed that performance of the proposed model in terms of classification accuracy is desirable, promising, and competitive to the existing state-of-the-art classification models.
Fulltext The worldwide prevalence of the Dupuytren disease: a comprehensive systematic review and meta-analysis

Salari N, Heydari M, Hassanabadi M, Kazeminia M, Farshchian N, Niaparast M, et al.

J Orthop Surg Res, 2020 Oct 28;15(1):495.
PMID: 33115483 DOI: 10.1186/s13018-020-01999-7

BACKGROUND: The Dupuytren disease is a benign fibroproliferative disorder that leads to the formation of the collagen knots and fibres in the palmar fascia. The previous studies reveal different levels of Dupuytren's prevalence worldwide; hence, this study uses meta-analysis to approximate the prevalence of Dupuytren globally.
METHODS: In this study, systematic review and meta-analysis have been conducted on the previous studies focused on the prevalence of the Dupuytren disease. The search keywords were Prevalence, Prevalent, Epidemiology, Dupuytren Contracture, Dupuytren and Incidence. Subsequently, SID, MagIran, ScienceDirect, Embase, Scopus, PubMed and Web of Science databases and Google Scholar search engine were searched without a lower time limit and until June 2020. In order to analyse reliable studies, the stochastic effects model was used and the I2 index was applied to test the heterogeneity of the selected studies. Data analysis was performed within the Comprehensive Meta-Analysis Software version 2.0.
RESULTS: By evaluating 85 studies (10 in Asia, 56 in Europe, 2 in Africa and 17 studies in America) with a total sample size of 6628506 individuals, the prevalence of Dupuytren disease in the world is found as 8.2% (95% CI 5.7-11.7%). The highest prevalence rate is reported in Africa with 17.2% (95% CI 13-22.3%). According to the subgroup analysis, in terms of underlying diseases, the highest prevalence was obtained in patients with type 1 diabetes with 34.1% (95% CI 25-44.6%). The results of meta-regression revealed a decreasing trend in the prevalence of Dupuytren disease by increasing the sample size and the research year (P < 0.05).
CONCLUSION: The results of this study show that the prevalence of Dupuytren disease is particularly higher in alcoholic patients with diabetes. Therefore, the officials of the World Health Organization should design measures for the prevention and treatment of this disease.
Fulltext The effect of acceptance and commitment therapy on insomnia and sleep quality: A systematic review

Salari N, Khazaie H, Hosseinian-Far A, Khaledi-Paveh B, Ghasemi H, Mohammadi M, et al.

BMC Neurol, 2020 Aug 13;20(1):300.
PMID: 32791960 DOI: 10.1186/s12883-020-01883-1

BACKGROUND: Acceptance and Commitment Therapy (ACT), as a type of behavioral therapy, attempts to respond to changes in people's performance and their relationship to events. ACT can affect sleep quality by providing techniques to enhance the flexibility of patients' thoughts, yet maintaining mindfullness. Therefore, for the first time, a systematic review on the effects of ACT on sleep quality has been conducted.
METHODS: This systematic review was performed to determine the effect of ACT on insomnia and sleep quality. To collect articles, the PubMed, Web of Science (WOS), Cochrane library, Embase, Scopus, Science Direct, ProQuest, Mag Iran, Irandoc, and Google Scholar databases were searched, without a lower time-limit, and until April 2020.
RESULTS: Related articles were derived from 9 research repositories, with no lower time-limit and until April 2020. After assessing 1409 collected studies, 278 repetitive studies were excluded. Moreover, following the primary and secondary evaluations of the remaining articles, 1112 other studies were removed, and finally a total of 19 intervention studies were included in the systematic review process. Within the remaining articles, a sample of 1577 people had been assessed for insomnia and sleep quality.
CONCLUSION: The results of this study indicate that ACT has a significant effect on primary and comorbid insomnia and sleep quality, and therefore, it can be used as an appropriate treatment method to control and improve insomnia.
Fulltext Evaluation of treatment of previous cesarean scar pregnancy with methotrexate: a systematic review and meta-analysis

Salari N, Kazeminia M, Shohaimi S, Nankali AA, Mohammadi M

Reprod Biol Endocrinol, 2020 Nov 09;18(1):108.
PMID: 33168010 DOI: 10.1186/s12958-020-00666-0

BACKGROUND: Previous caesarean scar pregnancy is one type of ectopic pregnancy in myometrium and fibrous tissue of previous caesarean scar. One of the therapeutic methods of this type of ectopic pregnancy is treatment with methotrexate. Given various findings on the treatment of caesarean scar pregnancy with methotrexate and lack of global report in this regard, we aimed to achieve a global report on the treatment of CSP with methotrexate through related literature review and analysis of the results of the studies, to enable more precise planning to reduce complications of CSP.
METHOD: This review study extracted information through searching national and international databases of SID،, Embase, ScienceDirect, ، Scopus, ، PubMed, Web of Science (ISI) between 2003 and January 2020. To perform the meta-analysis, random-effects model and heterogeneity of the studies with I2 index were investigated. Data were sanalysed using Comprehensive Meta-Analysis version 2.
RESULTS: In total, 26 articles with a sample size of 600 individuals were enrolled in the meta-analysis. According to the results of the study, the mean level of β-hCG was 28,744.98 ± 4425.1 mIU/ml before the intervention and was 23,836.78 ± 4533.1 mIU/ml after the intervention. The mean intraoperative blood loss (ml) was 4.8 ± 3.76 ml, mean hospital stay (days) was 11.7 ± 1.2 days, mean time for serum-hCG normalization (days) was 41.6 ± 3.2 days, success was 90.7% (95% CI: 86.7-93.5%), and complication was 9% (95% CI: 6.3-12.8%).
CONCLUSION: The results of the current study show methotrexate significantly reduces β-hCG levels and can be effective in treating caesarean scar pregnancy and its complications.
Invited Response on: Letter-to-the-Editor: The Global Prevalence of Seroma After Abdominoplasty: A Systematic Review and Meta-Analysis

Salari N, Fatahi B, Bartina Y, Kazeminia M, Heydari M, Mohammadi M, et al.

Aesthetic Plast Surg, 2021 Aug 27.
PMID: 34453194 DOI: 10.1007/s00266-021-02547-2
Socioeconomic inequality in patients with rheumatoid arthritis: a systematic review and meta-analysis

Salari N, Kazeminia M, Shohaimi S, Mohammadi M

Clin Rheumatol, 2021 Jun 22.
PMID: 34159490 DOI: 10.1007/s10067-021-05829-x

BACKGROUND: Rheumatoid arthritis is a chronic inflammatory and systemic autoimmune disease associated with synovial fluid inflammatory lesions and articular changes. The aim of the present study was to determine socioeconomic inequality in RA patients using a meta-analysis approach.
METHODS: A systematic search of national and international databases of SID, MagIran, Google Scholar, Cochrane, Embase, ScienceDirect, Scopus, PubMed, and Web of Science (WoS) was conducted to find articles published from 1988 to March 2020. Random effects model was used for analysis and heterogeneity of studies was investigated using I2 index. Data analysis was then carried out using Comprehensive Meta-Analysis (Ver. 2).
RESULTS: A total of 51 articles with a total sample size of 48,195 individuals were included in the meta-analysis in all the components. The results showed that 18.9% (95% CI: 4.9-13.25%) of patients were single patients, 70.6% (95% CI: 63.5-76.8%) were married, 31.6% (95% CI: 24.5-39.7%) had low economic status, 52.1% (95% CI: 5.8-44.53%) had moderate economic status, level of education was below diploma in 33% (95% CI: 27.1-39.5%) of cases, 36.2% (95% CI: 27.3-46.1%) were smokers, and 8.8% (95% CI: 2.8-24.1%) of patients were unemployed.
CONCLUSION: The results of the present study indicate high socioeconomic inequality in RA patients in the main components of the study. Hence, to improve the aforementioned status and find causes and do the monitoring at all levels, appropriate solutions must be adopted by providing feedback to policy-makers.
KEY POINTS: • The results showed that 18.9% (95% CI: 4.9-13.25%) of patients were single patients. • 70.6% (95% CI: 63.5-76.8%) were married and 31.6% (95% CI: 24.5-39.7%) had low economic status. • 52.1% (95% CI: 5.8-44.53%) had moderate economic status; 36.2% (95% CI: 27.3-46.1%) were smokers.
Fulltext The prevalence of severe depression in Iranian older adult: a meta-analysis and meta-regression

Salari N, Mohammadi M, Vaisi-Raygani A, Abdi A, Shohaimi S, Khaledipaveh B, et al.

BMC Geriatr, 2020 02 03;20(1):39.
PMID: 32013895 DOI: 10.1186/s12877-020-1444-0

BACKGROUND: Depression is one of the most common psychiatric disorders in the older adult and one of the most common risk factors for suicide in the older adult. Studies show different and inconsistent prevalence rates in Iran. This study aims to determine the prevalence of severe depression in Iranian older adult through a meta-analysis approach.
METHODS: The present meta-analysis was conducted between January 2000-August 2019. Articles related to the subject matter were obtained by searching Scopus, Sciencedirect, SID, magiran, Barakat Knowledge Network System, Medline (PubMed), and Google Scholar databases. The heterogeneity of the studies was evaluated using I2 index and the data were analyzed in Comprehensive Meta-Analysis software.
RESULTS: In a study of 3948 individuals aged 50-90 years, the overall prevalence of severe depression in Iranian older adult was 8.2% (95% CI, 4.14-6.3%) based on meta-analysis. Also, in order to investigate the effects of potential factors (sample size and year of study) on the heterogeneity of severe depression in Iranian older adult, meta-regression was used. It was reported that the prevalence of severe depression in Iranian older adult decreased with increasing sample size and increasing years of the study, which is significantly different (P
Invited Response on: Letter to the Editor: The Global Prevalence of Seroma After Abdominoplasty-A Systematic Review and Meta-Analysis

Salari N, Fatahi B, Bartina Y, Kazeminia M, Heydari M, Mohammadi M, et al.

Aesthetic Plast Surg, 2022 Feb;46(1):571-572.
PMID: 34173027 DOI: 10.1007/s00266-021-02423-z
Fulltext The prevalence of urinary tract infections in type 2 diabetic patients: a systematic review and meta-analysis

Salari N, Karami MM, Bokaee S, Chaleshgar M, Shohaimi S, Akbari H, et al.

Eur J Med Res, 2022 Feb 05;27(1):20.
PMID: 35123565 DOI: 10.1186/s40001-022-00644-9

BACKGROUND: Urinary tract infection is the most common infection in type 2 diabetic patients. Various studies have reported different outbreaks of urinary tract infections in type 2 diabetic patients. Therefore, the present study aimed to determine the prevalence of urinary tract infections in type 2 diabetic patients during a systematic review and meta-analysis in order to develop interventions to reduce the incidence of urinary tract infections in type 2 diabetic patients.
METHODS: In this study, systematic review and meta-analysis of study data related to the prevalence of urinary tract infection in type 2 diabetic patients were conducted using keywords including type 2 diabetes, urinary tract infection, diabetes, prevalence, meta-analysis and their English equivalents in SID, MagIran, IranMedex, IranDoc, Google Scholar, Cochrane, Embase, Science Direct, Scopus, PubMed and Web of Science (WoS) databases from 1993 to 2020. In order to perform the analysis of qualified studies, the model of random-effects was used, and the inconsistency of studies with the I2 index was investigated. Data analysis was performed with Comprehensive Meta-Analysis (Version 2).
RESULTS: Based on a total of 15 studies with a sample size of 827,948 in meta-analysis, the overall prevalence of urinary tract infection in patients with type 2 diabetes was 11.5% (95% confidence interval: 7.8-16.7%). The prevalence of urinary tract infections in diabetic Iranian patients increased with increasing number of years of research, (p
Fulltext Global prevalence of hepatitis C in prisoners: a comprehensive systematic review and meta-analysis

Salari N, Darvishi N, Hemmati M, Shohaimi S, Ghyasi Y, Hossaini F, et al.

Arch Virol, 2022 Feb 14.
PMID: 35165781 DOI: 10.1007/s00705-022-05382-1

Hepatitis C virus (HCV), one of the most significant causes of liver inflammation, has a high annual mortality rate. The unfavorable hygiene conditions and inadequate health monitoring in many prisons increase the risk of blood-borne infections such as hepatitis C. The growing incidence of this disease among prisoners results in overspill transmission to the general population from undiagnosed prisoners that have been released. Therefore, the aim of this study was to investigate the prevalence of hepatitis C among the world's prison population. A systematic review and meta-analysis of studies on the prevalence of hepatitis C was carried out using the keywords "Prevalence", "Hepatitis C", and "Prisoner" in the Iranian and international databases SID, MagIran, Iran Doc, Science Direct, Scopus, PubMed, and Web of Science (WoS) from January 1990 to September 2020. After transferring the articles to the information management software EndNote and eliminating duplicate studies, the remaining studies were reviewed based on inclusion and exclusion criteria, three stages of primary and secondary evaluation, and qualitative evaluation. Comprehensive meta-analysis software and Begg and Mazumdar and I2 tests were used for data analysis and assessment of dissemination bias, and heterogeneity, respectively. Out of 93 studies (22 from Asia, 26 from Europe, seven from Africa, 29 from America, and nine from Australia) with a total sample size of 145,823 subjects, the prevalence of hepatitis C in prisoners worldwide was estimated to be 17.7% (95% confidence interval, 15-20.7%). The highest prevalence of hepatitis C on the continents included in this study was reported in prisoners incarcerated in Australia and Oceania, with 28.4% (95% CI: 21.6-36.4) in nine studies, and Europe, with 25.1% (95% CI: 19.4-31.8) in 26 studies. All studies used an ELISA test for the detection of HCV antibodies. The results showed a prevalence of HCV of 17.7% in prisoners worldwide, ranging between 10 and 30% over five continents (Asia, Europe, America, Africa, and Australia and Oceania). The highest prevalence was reported in Australia and Oceania (28.4%), indicating the need to pay more attention to this issue on the continent. It is necessary to reduce the incidence of the disease in prisons by appropriate policy-making and the development of accurate and practical programs, including the distribution of free syringes and examination, testing, and screening of prisoners.
Fulltext Global prevalence of Duchenne and Becker muscular dystrophy: a systematic review and meta-analysis

Salari N, Fatahi B, Valipour E, Kazeminia M, Fatahian R, Kiaei A, et al.

J Orthop Surg Res, 2022 Feb 15;17(1):96.
PMID: 35168641 DOI: 10.1186/s13018-022-02996-8

BACKGROUND: A variety of mutations in the largest human gene, dystrophin, cause a spectrum from mild to severe dystrophin-associated muscular dystrophies. Duchenne (DMD) and Becker (BMD) muscular dystrophies are located at the severe end of the spectrum that primarily affects skeletal muscle. Progressive muscle weakness in these purely genetic disorders encourages families with a positive history for genetic counseling to prevent a recurrence, which requires an accurate prevalence of the disorder. Here, we provide a systematic review and meta-analysis to determine the prevalence of DMD and BMD worldwide.
METHOD: The current systematic review and meta-analysis was carried out using Cochrane seven-step procedure. After determining the research question and inclusion and exclusion criteria, the MagIran, SID, ScienceDirect, WoS, ProQuest, Medline (PubMed), Embase, Cochrane, Scopus, and Google Scholar databases were searched to find relevant studies using defined keywords and all possible keyword combinations using the AND and OR, with no time limit until 2021. The heterogeneity of studies was calculated using the I2 test, and the publication bias was investigated using the Begg and Mazumdar rank correlation test. Statistical analysis of data was performed using Comprehensive Meta-Analysis software (version 2).
RESULTS: A total of 25 articles involving 901,598,055 people were included. The global prevalence of muscular dystrophy was estimated at 3.6 per 100,000 people (95 CI 2.8-4.5 per 100,000 people), the largest prevalence in the Americans at 5.1 per 100,000 people (95 CI 3.4-7.8 per 100,000 people). According to the subgroup analysis, the prevalence of DMD and BMD was estimated at 4.8 per 100,000 people (95 CI 3.6-6.3 per 100,000 people) and 1.6 per 100,000 people (95 CI 1.1-2.4 per 100,000 people), respectively.
CONCLUSION: Knowing the precise prevalence of a genetic disorder helps to more accurately predict the likelihood of preventing its occurrence in families. The global prevalence of DMD and BMD was very high, indicating the urgent need for more attention to prenatal screening and genetic counseling for families with a positive history.
Fulltext Global prevalence of hepatitis C in general population: A systematic review and meta-analysis

Salari N, Kazeminia M, Hemati N, Ammari-Allahyari M, Mohammadi M, Shohaimi S

Travel Med Infect Dis, 2022 Jan 08;46:102255.
PMID: 35007756 DOI: 10.1016/j.tmaid.2022.102255

BACKGROUND: According to published reports from the World Health Organization, it is estimated that more than 3% of the world's population is infected with HCV. Given the impact of various factors on the prevalence of HCV in the world's population and the lack of general statistics around the world, this study aims to review the studies conducted in this field and statistical analysis of the results of general statistical studies on the prevalence of HCV in the world population.
METHODS: In this study, systematic review and meta-analysis of information of the studies related to the prevalence of HCV in the world using keywords including: Prevalence, HCV, Hepatitis C, Healthy Population, Healthy subjects, and General Population in SID, MagIran, IranMedex, IranDoc, ScienceDirect, Embase, Scopus, PubMed, Web of Science (WoS) databases and Google Scholar search engine were extracted without time limit until April 2020. In order to perform the analysis of qualified studies, the model of random effects was used, and the inconsistency of studies with I2 index was investigated. Data analysis was performed with Comprehensive Meta-Analysis (Version 2).
RESULTS: In a study of 98 studies with a total sample size of 236,964 people in the world, the overall prevalence of HCV was 1.8% (95% CI: 1.4%-2.3%). Also, according to the subgroup analysis in different continents; the highest prevalence of HCV in the African continent was 7.1% (95% CI: 4.4-11.5%).
CONCLUSION: The results of this study show that the prevalence of hepatitis C in the world's population, especially in Africa, is almost high. Therefore, the officials of the World Health Organization should design measures to prevent the spread of this infection.
Fulltext The effect of exercise on balance in patients with stroke, Parkinson, and multiple sclerosis: a systematic review and meta-analysis of clinical trials

Salari N, Hayati A, Kazeminia M, Rahmani A, Mohammadi M, Fatahian R, et al.

Neurol Sci, 2022 Jan;43(1):167-185.
PMID: 34709478 DOI: 10.1007/s10072-021-05689-y

BACKGROUND: Stroke, Parkinson, and multiple sclerosis are a range of diseases affecting the nervous system and show balance impairments due to damage of the balance control system. Many early articles have been published on the effect of exercise on balance in patients suffering from neuromuscular diseases. However, a comprehensive study showing a clear result of these three diseases was not found. Hence, the purpose of the present meta-analysis and systematic review is to determine the effect of exercise on balance in people with stroke, Parkinson, and multiple sclerosis.
METHODS: According to the PRISMA 2009 multi-step instructions, keywords related to the purpose of the research were browsed in the MeSH browser databases; IranDoc, MagIran, IranMedex, SID, ScienceDirect, Web of Science (WoS), ProQuest, Medline (PubMed), Scopus, and Google Scholar were searched to extract articles published in Persian and English language. The search process for retrieving the articles in the sources mentioned from January 01, 2000, to December 30, 2020, was done. The heterogeneity index of the studies was determined using the I2 test. Given the heterogeneity, the random-effects model was used to combine the articles and the results.
RESULTS: Initially, 7067 articles were found, but after removing duplicate and irrelevant articles, 96 clinical trials with a sample size of the intervention group of 1760 people were included in the study. As a result of the articles' composition, the mean balance score index after exercise in the intervention group showed a significant increase of 0.67 ± 0.12 of the unit (P˂0.01). The highest rate of increase in the balance score after the intervention was reported in patients with myelomeningocele with 1.66 ± 0.3 unit (P˂0.01).
CONCLUSION: Considering the positive effect of using exercise on increasing the balance in patients with stroke, Parkinson, and multiple sclerosis, it is recommended that health care providers implement a regular exercise program to improve the condition of these patients.
The Global Prevalence of Seroma After Abdominoplasty: A Systematic Review and Meta-Analysis

Salari N, Fatahi B, Bartina Y, Kazeminia M, Heydari M, Mohammadi M, et al.

Aesthetic Plast Surg, 2021 12;45(6):2821-2836.
PMID: 34080041 DOI: 10.1007/s00266-021-02365-6

BACKGROUND: Abdominoplasty is one of the most common cosmetic surgeries performed worldwide. Seroma is also the most common local complication associated with abdominoplasty, which increases care costs, reduces patient satisfaction, and has serious complications for patients. Results of previous studies report different levels of seroma prevalence after abdominoplasty. The aim of this study is to standardize the statistics of the prevalence of seroma after abdominoplasty using meta-analysis.
METHODS: In this systematic review and meta-analysis study, data from studies conducted on the global prevalence of seroma after abdominoplasty was extracted using the keywords "Prevalence, Epidemiology, Complications, Abdominoplasty, Seroma, and Lipo abdominoplasty" in the databases of Science, Scientific Information Database, MagIran, Embase, Scopus, PubMed, Web of Science, and Google Scholar search engine without time limit until October 2020. The random-effects model was used to analyze the eligible studies, and the heterogeneity of the studies was investigated with the I2 index. Data analysis was performed using Comprehensive Meta-Analysis software (Version 2).
RESULTS: In reviewing 143 studies (five studies related to Asia, 55 studies related to Europe, three studies related to Africa, and 80 studies related to the Americas) with a total sample size of 27834 individuals, the global prevalence of seroma after abdominoplasty was obtained as 10.9% (95% CI: 9.3-3.6.6%) and the highest prevalence of seroma was related to the Europe continent with 12.8% (95% CI: 10.15-3.9%). The results from meta-regression showed a declining trend in the global prevalence of seroma after abdominoplasty with an increase in the sample size, age of study participants, and the year of study (p
Fulltext Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and meta-analysis

Salari N, Darvishi N, Bartina Y, Larti M, Kiaei A, Hemmati M, et al.

J Orthop Surg Res, 2021 Nov 13;16(1):669.
PMID: 34774085 DOI: 10.1186/s13018-021-02821-8

BACKGROUND: Osteoporosis is one of the most common bone system diseases that is associated with an increased risk of bone fractures and causes many complications for patients. With age, the prevalence of this disease increases so that it has become a serious problem among the elders. In this study, the prevalence of osteoporosis among elders around the world is examined to gain an understanding of its prevalence pattern.
METHODS: In this systematic review and meta-analysis, articles that have focused on prevalence of osteoporosis in the world's elders were searched with these key words, such as Prevalence, Osteoporosis, Elders, Older adult in the Science Direct, Embase, Scopus, PubMed, Web of Science (WoS) databases and Google Scholar search engine, and extracted without time limit until March 2020 and transferred to information management software (EndNote). Then, duplicate studies were eliminated and the remaining studies were evaluated in terms of screening, competence and qualitative evaluation based on inclusion and exclusion criteria. Data analysis was performed with Comprehensive Meta-Analysis software (Version 2) and Begg and Mazumdar test was used to check the publication bias and I2 test was used to check the heterogeneity.
RESULTS: In a review of 40 studies (31 studies related to Asia, 5 studies related to Europe and 4 studies related to America) with a total sample size of 79,127 people, the prevalence of osteoporosis in the elders of the world; 21.7% (95% confidence interval: 18.8-25%) and the overall prevalence of osteoporosis in older men and women in the world, 35.3% (95% confidence interval: 27.9-43.4%), 12.5% (95% confidence interval: 9.3-16.7%) was reported. Also, the highest prevalence of osteoporosis in the elders was reported in Asia with; 24.3% (95% confidence interval: 20.9-28.1%).
CONCLUSION: The results of the present study showed that the prevalence of osteoporosis in the elders and especially elders' women is very high. Osteoporosis was once thought to be an inseparable part of elders' lives. Nowadays, Osteoporosis can be prevented due to significant scientific advances in its causes, diagnosis, and treatment. Regarding the growing number of elderly people in the world, it is necessary for health policy-makers to think of measures to prevent and treat osteoporosis among the elders.
The global prevalence of sexual dysfunction in women with multiple sclerosis: a systematic review and meta-analysis

Salari N, Hasheminezhad R, Abdolmaleki A, Kiaei A, Razazian N, Shohaimi S, et al.

Neurol Sci, 2023 Jan;44(1):59-66.
PMID: 36114398 DOI: 10.1007/s10072-022-06406-z

BACKGROUND: Sexual function is often impaired following neurological disorders such as multiple sclerosis (MS). Young women with MS encourage disruptions in sexual function, sexual behaviors, and family formation as common global problems. Thus, the aim of the present systematic review and meta-analysis study was to investigate the global prevalence of female sexual dysfunction (FSD) worldwide.
METHODS: Various databases (PubMed, Scopus, Web of Science, Embase, and ScienceDirect) along with Google Scholar search engine were hired for systematic searching in the field of the prevalence of FSD (by July 2022). The heterogeneity of the studies was assessed using I2 index, and random effects model was used to perform the analysis (CMA software, v.2).
RESULTS: Following assessment of 14 included studies with the sample size of 2115 women, a total prevalence of sexual dysfunction (SD) in women with MS was reported 62.5% (95% CI 53.9-70.5). Meta-regression assessment also showed that FSD accelerates following increasing the sample size and the year of the studies.
CONCLUSION: The total prevalence of SD in women with MS was found considerably high (62.5%) in the world, which needs more serious attention by health policymakers. Correct implementation of health policies can potentially increase the society's awareness and successful treatment of SD in MS patients.
The effects of smoking on female sexual dysfunction: a systematic review and meta-analysis

Salari N, Hasheminezhad R, Abdolmaleki A, Kiaei A, Shohaimi S, Akbari H, et al.

Arch Womens Ment Health, 2022 Dec;25(6):1021-1027.
PMID: 36445469 DOI: 10.1007/s00737-022-01281-1

The increased number of female smokers is considered a global health challenge in recent years. One of the detrimental effects of smoking is sexual hormone fluctuation causing female sexual dysfunction (FSD). This systematic review and meta-analysis aimed to investigate the effects of smoking leading to FSD. Electronic databases (PubMed, Scopus, Web of Science, Embase, Science Direct, and Google Scholar) were hired for systematic searching. Until June 2022, whole qualified studies reporting the consequences of smoking on FSD were gathered for data analysis based on the random effects model (CMA software, v.2). Study heterogeneity and publication bias were also assessed using I2 index and Egger test, respectively. Ten eligible studies with a sample size of 15,334 female smokers (18-79 years) were selected. Following data analysis, the odds ratio representing the effects of smoking on FSD was found 1.48 (95%CI: 1.2-1.83), indicating that female smokers were 48% more susceptible to FSD than non-smokers. Also, the publication bias was reported as non-significant (p = 0.178). Since smoking is an increasingly common phenomenon in females and women smokers are 48% more susceptible to the FSD, preparation of necessary health measures by the health policymakers to reduce the number of female smokers and subsequent health services seems necessary.
Fulltext The severity of moral distress in nurses: a systematic review and meta-analysis

Salari N, Shohaimi S, Khaledi-Paveh B, Kazeminia M, Bazrafshan MR, Mohammadi M

Philos Ethics Humanit Med, 2022 Nov 09;17(1):13.
PMID: 36348378 DOI: 10.1186/s13010-022-00126-0

BACKGROUND: Moral distress is one of the most important problems that nurses face in their care of patients. Various studies have reported the frequency and severity of moral distress in nurses. However, to date, a comprehensive study that shows the results of these research across the world was not found, therefore due to the importance of this issue, its role in the health of nurses and patients, and the lack of general statistics about it worldwide, the present study was conducted to determine the frequency and severity of moral distress in nurses through a systematic review and meta-analysis.
METHODS: In this review study, searching national and international databases of SID, MagIran, IranMedex, IranDoc, Google Scholar, Embase, ScienceDirect, Scopus, CINHAL, PubMed, and Web of Science (WoS) between 2005 and February 2020 were extracted. The random-effects model was used for analysis, and the heterogeneity of studies with the I2 index was investigated. Data were analyzed using Comprehensive Meta-Analysis (Version 2).
RESULTS: The frequency of moral distress in 9 articles with a sample size of 1576 persons was 1.7 ± 0.5 from (0-4), in 13 articles with a sample size of 1870 persons, 3.07 ± 0.1 from (0-5), in 6 articles with a sample size of 1316 persons, 3.2 ± 0.29 from (0-6), in 18 articles with a sample size of 1959 persons, 4.6 ± 0.518 from (1-7) and in 35 articles with a sample size of 3718 persons, 81.1 ± 4.6 from (216-30), and the severity of moral distress in 4 articles with a sample size of 1116 persons, 1.7 ± 0.37 from (0-4), in 5 articles with a sample size of 1282 persons, 2.6 ± 0.28 from (0-5), in 5 articles with a sample size of 944 persons, 3.9 ± 0.63 from (0-6) and in 8 articles with a sample size of 901 persons was 82.3 ± 5.4 (0-216).
CONCLUSION: The results of this study showed that the frequency and severity of moral distress in nurses are high and are a serious problem in nurses. Therefore, policymakers in this field should consider its role in the health of nurses and patients.

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