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      COVID-19 Vaccination and Menstrual Disorders Among Women: Findings from a meta-Analysis Study

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          Abstract

          Background

          COVID -19 vaccine can lead to various local and systemic side effects, including menstrual irregularities in women. There is no robust quantitative evidence of the association between the COVID -19 vaccine and menstrual irregularities. A meta-analysis was performed to estimate the pooled prevalence of a range of menstrual disorders that may occur in women following COVID -19 vaccination.

          Methods

          After searching for epidemiological studies, we systematically performed a meta-analysis on PubMed/Medline, EMBASE, and Science Direct. Sixteen studies were finally included in the study. We estimated the pooled prevalence and corresponding 95% confidence intervals (CIs) for a group of menstrual disorders, including menorrhagia, polymenorrhea, abnormal cycle length, and oligomenorrhea. Heterogeneity was assessed using the I 2 statistic and the Q test.

          Results

          Overall, the pooled prevalence of menorrhagia was 24.24% (pooled prevalence 24.24%; 95% CI: 12.8-35.6%). The pooled prevalence of polymenorrhea was 16.2% (pooled prevalence: 16.2%; 95% CI: 10.7-21.6%). The pooled prevalence of abnormal cycle length was relatively lower than that of the other disorders (pooled prevalence: 6.6%; 95% CI: 5.0-8.2%). The pooled prevalence of oligomenorrhea was 22.7% (95% CI: 13.5-32.0%).

          Conclusion

          The findings indicate that menorrhagia, oligomenorrhea, and polymenorrhea were the most common menstrual irregularities after vaccination. The findings also suggest that a relatively high proportion of women suffer from menstrual irregularities. Further longitudinal studies are needed to confirm the causal relationship between COVID-19 vaccination and menstrual irregularities.

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          Most cited references38

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          Quantifying heterogeneity in a meta-analysis.

          The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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            Analysis of COVID-19 Vaccine Type and Adverse Effects Following Vaccination

            Question What factors are associated with adverse effects after COVID-19 vaccination? Findings In an online cohort study including 19 586 adults who received a COVID-19 vaccination, the factors most strongly associated with adverse effects were full vaccination dose, brand of vaccine, younger age, female sex, and having had COVID-19 before vaccination. Allergic reaction or anaphylaxis was reported in 0.3% of participants after partial vaccination and 0.2% of participants after full vaccination. Meaning These findings suggest that some individuals experience more adverse effects after COVID-19 vaccination, but serious adverse effects are rare. This cohort study evaluates factors potentially associated with participant-reported adverse effects after COVID-19 vaccination. Importance Little is known about the factors associated with COVID-19 vaccine adverse effects in a real-world population. Objective To evaluate factors potentially associated with participant-reported adverse effects after COVID-19 vaccination. Design, Setting, and Participants The COVID-19 Citizen Science Study, an online cohort study, includes adults aged 18 years and older with a smartphone or internet access. Participants complete daily, weekly, and monthly surveys on health and COVID-19–related events. This analysis includes participants who provided consent between March 26, 2020, and May 19, 2021, and received at least 1 COVID-19 vaccine dose. Exposures Participant-reported COVID-19 vaccination. Main Outcomes and Measures Participant-reported adverse effects and adverse effect severity. Candidate factors in multivariable logistic regression models included age, sex, race, ethnicity, subjective social status, prior COVID-19 infection, medical conditions, substance use, vaccine dose, and vaccine brand. Results The 19 586 participants had a median (IQR) age of 54 (38-66) years, and 13 420 (68.8%) were women. Allergic reaction or anaphylaxis was reported in 26 of 8680 participants (0.3%) after 1 dose of the BNT162b2 (Pfizer/BioNTech) or mRNA-1273 (Moderna) vaccine, 27 of 11 141 (0.2%) after 2 doses of the BNT162b2 or mRNA-1273 vaccine or 1 dose of the JNJ-78436735 (Johnson & Johnson) vaccine. The strongest factors associated with adverse effects were vaccine dose (2 doses of BNT162b2 or mRNA-1273 or 1 dose of JNJ-78436735 vs 1 dose of BNT162b2 or mRNA-1273; odds ratio [OR], 3.10; 95% CI, 2.89-3.34; P  < .001), vaccine brand (mRNA-1273 vs BNT162b2, OR, 2.00; 95% CI, 1.86-2.15; P  < .001; JNJ-78436735 vs BNT162b2: OR, 0.64; 95% CI, 0.52-0.79; P  < .001), age (per 10 years: OR, 0.74; 95% CI, 0.72-0.76; P  < .001), female sex (OR, 1.65; 95% CI, 1.53-1.78; P  < .001), and having had COVID-19 before vaccination (OR, 2.17; 95% CI, 1.77-2.66; P  < .001). Conclusions and Relevance In this real-world cohort, serious COVID-19 vaccine adverse effects were rare and comparisons across brands could be made, revealing that full vaccination dose, vaccine brand, younger age, female sex, and having had COVID-19 before vaccination were associated with greater odds of adverse effects. Large digital cohort studies may provide a mechanism for independent postmarket surveillance of drugs and devices.
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              Distinguishing features of current COVID-19 vaccines: knowns and unknowns of antigen presentation and modes of action

              COVID-19 vaccines were developed with an unprecedented pace since the beginning of the pandemic. Several of them have reached market authorization and mass production, leading to their global application on a large scale. This enormous progress was achieved with fundamentally different vaccine technologies used in parallel. mRNA, adenoviral vector as well as inactivated whole-virus vaccines are now in widespread use, and a subunit vaccine is in a final stage of authorization. They all rely on the native viral spike protein (S) of SARS-CoV-2 for inducing potently neutralizing antibodies, but the presentation of this key antigen to the immune system differs substantially between the different categories of vaccines. In this article, we review the relevance of structural modifications of S in different vaccines and the different modes of antigen expression after vaccination with genetic adenovirus-vector and mRNA vaccines. Distinguishing characteristics and unknown features are highlighted in the context of protective antibody responses and reactogenicity of vaccines.
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                Author and article information

                Journal
                J Infect Public Health
                J Infect Public Health
                Journal of Infection and Public Health
                The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences.
                1876-0341
                1876-035X
                2 March 2023
                2 March 2023
                Affiliations
                [a ]Department of Obstetrics and Gynecology, King Abdulaziz Medical City, College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, Ministry of National Guard-Health affairs, Saudi Arabia
                [b ]College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, Ministry of National Guard-Health affairs, Saudi Arabia
                [c ]College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, Ministry of National Guard-Health affairs, Saudi Arabia
                [d ]Department of Family Medicine, King Abdulaziz Medical City, College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, Ministry of National Guard-Health affairs, Saudi Arabia
                [e ]College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Centre, Ministry of National Guard-Health affairs, Saudi Arabia
                Author notes
                [* ]Correspondence to: Prince Mutib Ibn Abdullah Ibn Abdulaziz Rd, Ar Rimayah, Riyadh 14611,
                Article
                S1876-0341(23)00059-X
                10.1016/j.jiph.2023.02.019
                9979695
                36934644
                24b3bd29-a489-4f4d-8cc4-6fa3642c91f5
                © 2023 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 9 November 2022
                : 31 December 2022
                : 19 February 2023
                Categories
                Review

                covid-19 vaccine,menstrual irregularities,meta-analysi

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