METHODS: In this study, Researchers systematically searched electronic databases PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar search engines for studies until September 2023. To analyze data, the random effects model was used, and the heterogeneity of the studies was checked with the I2 index. Data analysis was performed by software (Version 2 Comprehensive Meta-Analysis).
RESULTS: In the review of 28 studies with a sample size of 12,908 people, the I2 heterogeneity test showed high heterogeneity (I2: 98.4). Based on this, the random effects method was used to analyze the results. Therefore, the meta-analysis reported the global prevalence of back pain at 40.5 (95% CI: 33-48.4) during pregnancy. Also, according to the meta-analysis, the global prevalence of back pain in the first trimester of pregnancy is 28.3 (95%CI: 10.5-57.1), in the second trimester is 36.8 (95%CI: 30.4-43.7) and in the third trimester of pregnancy was reported as 47.8 (95% CI: 37.2-58.6).
CONCLUSION: In this meta-analysis, the overall prevalence of back pain in pregnant women was reported to be significant, so it is necessary for health policymakers to pay more attention to complications during pregnancy, in addition to increasing society's awareness of pregnant mothers, with timely diagnosis and treatment of such disorders, it can lead to improvement; and reduction in Complications caused by pregnancy and becoming more pleasant during pregnancy.
METHODS: In this study, a systematic search was conducted across electronic databases, including PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar. The search aimed to identify studies published between December 2000 and August 2022 that reported metabolic syndrome's impact on female sexual dysfunction.
RESULTS: The review included nine studies with a sample size of 1508 obese women. The I2 heterogeneity index indicated high heterogeneity (I2: 97.5). As a result, the random effects method was used to analyze the data. Based on this meta-analysis, the prevalence of sexual dysfunction in women with obesity was reported as 49.7% (95%CI: 35.8-63.5). Furthermore, the review comprised five studies involving 1411 overweight women. The I2 heterogeneity test demonstrated high heterogeneity (I2: 96.6). Consequently, the random effects model was used to analyze the results. According to the meta-analysis, the prevalence of sexual dysfunction in overweight women was 26.9% (95% CI: 13.5-46.5).
CONCLUSION: Based on the results of this study, it has been reported that being overweight and particularly obese is an important factor affecting women's sexual dysfunction. Therefore, health policymakers must acknowledge the significance of this issue in order to raise awareness in society about its detrimental effect on the female population.
METHODS: The studies used in this systematic review were selected from the articles published from 1996 to 2019, in national and international databases including SID, Magiran, Iranmedex, Irandoc, Google Scholar, Cochrane, Embase, ScienceDirect, Scopus, PubMed and Web of Science (ISI). These databases were thoroughly searched, and the relevant ones were selected based on some plausible keywords to the aim of this study. Heterogeneity index between studies was determined using Cochran's test and I2. Due to heterogeneity in studies, the random effects model was used to estimate standardized mean difference.
RESULTS: From the systematic review, a meta-analysis was performed on 31 articles which were fulfilled the inclusion criteria. The sample including of 714 subjects was selected from the intervention group, and almost the same sample size of 720 individuals were selected in the control group. Based on the results derived from this meta-analysis, the standardized mean difference between the intervention group before and after the intervention was respectively estimated to be 23.8 ± 6.2 and 16.9 ± 3.2, which indicates that the physical exercise reduces fatigue in patients with MS.
CONCLUSION: The results of this study extracted from a detailed meta-analysis reveal and confirm that physical exercise significantly reduces fatigue in patients with MS. As a results, a regular exercise program is strongly recommended to be part of a rehabilitation program for these patients.
Methods: In this study, to find published articles electronically from 2006 to 2019, the published articles in national and international databases of SID, MagIran, IranMedex, IranDoc, Google Scholar, Cochrane Library, Embase, ScienceDirect, Scopus, PubMed, and Web of Science (ISI) were used. Heterogenic index between studies was determined by Cochrane test (Q)c and I2. Due to heterogeneity, the random effects model was used to estimate standardize difference of the mean score of lavender test in order to assess the labor pain between intervention and control group.
Results: In this meta-analysis and systematic review, finally 13 eligible articles met the inclusion criteria of the study. The sample size from original studies enrolled in the meta-analysis entered in the intervention group was 794 individuals and in the control group was 795 individuals. Mean score for pain in the control group was 7.2 ± 0.42 and in the intervention group was 5.4 ± 0.58 and this difference was statistically significant (p ≤ 0.001).
Conclusion: The results of this study showed that lavender can reduce labor pain, which can be considered by health policy makers and gynecologists.
METHODS: The electronic databases PubMed, Google Scholar, Scopus, Web of Science, and ScienceDirect were systematically searched for studies reporting the prevalence of constipation in older adults up to February 2022. To perform the analysis, the random effects model was used, and heterogeneity was assessed by Cochran's Q test and expressed as I2.
RESULTS: Out of 5341 evaluated publications, 36 met the eligibility criteria. These studies included 58,405 older adults aged 60-93 years. The overall prevalence of constipation in older adults was 18.9% (95% confidence interval [95% CI]: 14.7-23.9%). The prevalence of constipation in older adults according to Rome II criteria was 16.2% (95% CI: 6.8-33.7), based on Rome III criteria was 19.2% (95% CI: 12.6-28.1), and based on Rome IV criteria was 10.3% (95% CI: 5.8-17.7). The highest prevalence of constipation was found in older adults in Africa at 32.3% (95% CI: 21.5-45.4), and the lowest in Asia at 13.6% (95% CI: 9.1-19.9). Concerning diagnostic tools, the highest prevalence of constipation was found if a self-reporting tool was applied with a value of 19.7% (95% CI: 15.8-24.3).
CONCLUSION: The results suggest that health policymakers should pay more attention to the prevention of constipation in older adults, including raising public awareness to the importance of nutrition and diet and physical activity in older adults.
METHODS: All relevant studies were extracted by searching national and international databases of SID, MagIran, ProQuest, PubMed, Science Direct, Scopus, Web of Science (WoS), and Google Scholar without time limit until October 2020. Finally, the meta-analysis was performed with the 11 remaining studies containing 14 different drug supplements. The standardized mean difference (SMD) was calculated at a 95% confidence interval (CI) to evaluate the effects of each treatment group compared with placebo. A random-effect model was used to evaluate the effect of individual studies on the final result. Heterogeneity and incompatibility of the network were assessed by Cochran's Q and Higgins I2, and the Net Heat chart, respectively. Data analysis was performed using R software.
RESULTS: Our results showed that there were significant mean effects in people intervened with Phentermine 15.0 mg + Topiramate 92.0 mg, Phentermine 7.5 mg + Topiramate 46.0 mg, Pramlintide, Naltrexone + Bupropion 32, and Liraglutide, with SMD effects size = - 9.1, - 7.4, - 6.5, - 5.9, - 5.35, respectively.
CONCLUSION: This study was performed to compare the effect of different drugs used for weight loss in obese patients. The most effective drugs for weight loss were phentermine and topiramate, pramlintide, naltrexone, bupropion, and liraglutide compared to placebo treatment, respectively. This study provides new insights into anti-obesity drugs and hopes to shed new light on future research to manage and treat obesity.
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.
METHODS: The systematic review and meta-analysis covered the period from 1989 to 2023. Multiple databases, including Embase, PubMed, Scopus, Web of Sciences (WoS), MagIran, Scientific Information Database (SID), and Google Scholar, were searched using validated keywords with MeSH and Emtree. The I2 index was used to check for heterogeneity among studies.
RESULTS: The review of 8 studies, with a sample size of 397,298 participants, showed high heterogeneity (I2: 97.8 %). Therefore, the random effects method was used to analyze the results. The prevalence of bleeding after intervention in percutaneous coronary arteries was reported to be 4.4 % (95%CI: 2-9.1).
CONCLUSION: This meta-analysis showed a significant prevalence of bleeding after PCI, highlighting the need for health policymakers to pay more attention to the complications associated with PCI. Interventional cardiologists should consider the effective factors in these bleeding and how to treat and control them due to the importance of this complication.
METHODS: In this research work, the systematic review, meta-analysis and meta-regression approaches are used to approximate the prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients. The keywords of prevalence, anxiety, stress, depression, psychopathy, mental illness, mental disorder, doctor, physician, nurse, hospital staff, 2019-nCoV, COVID-19, SARS-CoV-2 and Coronaviruses were used for searching the SID, MagIran, IranMedex, IranDoc, ScienceDirect, Embase, Scopus, PubMed, Web of Science (ISI) and Google Scholar databases. The search process was conducted in December 2019 to June 2020. In order to amalgamate and analyze the reported results within the collected studies, the random effects model is used. The heterogeneity of the studies is assessed using the I2 index. Lastly, the data analysis is performed within the Comprehensive Meta-Analysis software.
RESULTS: Of the 29 studies with a total sample size of 22,380, 21 papers have reported the prevalence of depression, 23 have reported the prevalence of anxiety, and 9 studies have reported the prevalence of stress. The prevalence of depression is 24.3% (18% CI 18.2-31.6%), the prevalence of anxiety is 25.8% (95% CI 20.5-31.9%), and the prevalence of stress is 45% (95% CI 24.3-67.5%) among the hospitals' Hospital staff caring for the COVID-19 patients. According to the results of meta-regression analysis, with increasing the sample size, the prevalence of depression and anxiety decreased, and this was statistically significant (P
METHOD: A systematic review and metanalysis was conducted in accordance with the PRISMA criteria. The PubMed, Scopus, Science direct, Web of science, CINHAL, Medline, and Google Scholar databases were searched with no lower time-limt and until 24 June 2020. The heterogeneity of the studies was measured using I2 test and the publication bias was assessed by the Egger's test at the significance level of 0.05.
RESULTS: The I2 test was used to evaluate the heterogeneity of the selected studies, based on the results of I2 test, the prevalence of sleep disturbances in nurses and physicians is I2: 97.4% and I2: 97.3% respectively. After following the systematic review processes, 7 cross-sectional studies were selected for meta-analysis. Six studies with the sample size of 3745 nurses were examined in and the prevalence of sleep disturbances was approximated to be 34.8% (95% CI: 24.8-46.4%). The prevalence of sleep disturbances in physicians was also measured in 5 studies with the sample size of 2123 physicians. According to the results, the prevalence of sleep disturbances in physicians caring for the COVID-19 patients was reported to be 41.6% (95% CI: 27.7-57%).
CONCLUSION: Healthcare workers, as the front line of the fight against COVID-19, are more vulnerable to the harmful effects of this disease than other groups in society. Increasing workplace stress increases sleep disturbances in the medical staff, especially nurses and physicians. In other words, increased stress due to the exposure to COVID-19 increases the prevalence of sleep disturbances in nurses and physicians. Therefore, it is important for health policymakers to provide solutions and interventions to reduce the workplace stress and pressures on medical staff.
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.