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Review Article12-04-2024
Female genital tract microbiome: the influence of probiotics on assisted reproduction
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo82
Abstract
Review ArticleFemale genital tract microbiome: the influence of probiotics on assisted reproduction
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo82
Views278Abstract
Assisted reproductive technology (ART) has been evolving since 1978, with the number of techniques performed increasing over the years. Despite continued advances, some couples continue to have difficulties getting pregnant, and it has recently been considered that the microbiome of the female genital tract (FGT) may influence embryo implantation and the establishment of pregnancy. This review aims to evaluate the role of probiotics on reproductive outcomes in infertile women on ART. A search throughout medical databases was performed, and six articles met the criteria. Five studies showed improvements in pregnancy rates, with only one demonstrating statistical significance. One article showed no improvement but reported a statistically significant reduction in the miscarriage rate in the probiotic group. Further research is needed to evaluate the true potential of probiotics, namely to assess whether they effectively modulate the FGT microbiome and if these changes are maintained over time.
Key-words Abortion, spontaneousEmbryo implantationGenitalia, femaleInfertility, femalePregnancy outcomePregnancy rateProbioticsReproductive techniques, assisted, MicrobiotaSee more -
Review Article12-04-2024
Metformin versus insulin in gestational diabetes mellitus: a systematic review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo89
Abstract
Review ArticleMetformin versus insulin in gestational diabetes mellitus: a systematic review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo89
Views398See moreAbstract
Objective:
The aim of this study is to assess the use of metformin with or without insulin for the treatment of Gestational Diabetes Mellitus compared to insulin alone.
Data sources:
This article consists of a systematic review of randomized clinical trials. The searches were carried out on MEDLINE including 7 studies, between 2010 to 2021.
Study selection:
Randomized clinical trials comparing metformin and insulin written in English, Spanish or Portuguese, with no time limit, were included.
Data collection:
Data was extracted from all the 7 articles and compared statistically when possible. Whenever data was not available or couldn't be statistically compared, the main results were described in detail.
Data synthesis:
Insulin alone is not superior than metformin with or without insulin on gestational diabetes mellitus.
Conclusion:
There is a potential viability of using metformin as an alternative compared to insulin alone in the treatment of Gestational Diabetes Mellitus. However, all assessed outcomes have a very low level of certainty of evidence and more studies are necessary to support these findings.
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Review Article09-18-2024
Neonatal and maternal outcomes of mRNA versus Non-mRNA COVID-19 vaccines in pregnant patients: a systematic review and meta-analysis
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo69
Abstract
Review ArticleNeonatal and maternal outcomes of mRNA versus Non-mRNA COVID-19 vaccines in pregnant patients: a systematic review and meta-analysis
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo69
Views307Abstract
Objective
To compare the effectiveness and safety of non-mRNA versus mRNA COVID-19 vaccines on pregnant women and their newborns in a systematic review with meta-analysis.
Data sources
We searched PubMed, Embase, and Cochrane Central in May 2023.
Study selection
The search strategy yielded 4451 results, 16 studies were fully reviewed. We selected case-control studies analysing non-mRNA versus mRNA vaccines. Data collection and analysis: we assessed the risk of bias using the Cochrane Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool. Standardised mean differences were pooled using random-effect models.
Data synthesis
We identified 8 prospective and retrospective studies with a total of 32,153 patients. Non-mRNA vaccines were associated with a higher incidence of fever (OR 2.67; 95% CI 2.08-3.43; p<0.001), and a lower incidence of fetal or neonatal death (OR 0.16; 95% CI 0.08-0.33; p<0.001). In subgroup analyses, the Jansen vaccine (Ad26.COV2.S) was found to have a higher rate of premature labor/delivery (OR 4.48; 95% CI 1.45-13.83; p=0.009) and missed/spontaneous abortion (OR 1.90; 95% CI 1.09-3.30; p=0.02), as compared with the Pfizer (BNT162b2) vaccine.
Conclusion
non-mRNA vaccines are associated with a lower incidence of fetal or neonatal death among pregnant women who receive a Covid19 vaccine, although at an increased rate of pyrexia compared with mRNA vaccines. Other studies are required for better assessment.
PROSPERO
CRD42023421814
Key-words coronavirus infectionsCOVID-19COVID-19 vaccinesInfant, newbornmRNA vaccinesPregnancy complicationsPregnant womenSARS-CoV-2See more -
Review Article09-18-2024
Immunosuppressants in women with repeated implantation failure in assisted reproductive techniques: a systematic review and meta-analysis
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo70
Abstract
Review ArticleImmunosuppressants in women with repeated implantation failure in assisted reproductive techniques: a systematic review and meta-analysis
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo70
Views317Abstract
Objective
To compare outcomes in patients with repeated implantation failure undergoing Intracytoplasmic Sperm Injection/In vitro fertilization (IVF/ICSI) plus immunosuppressants such as prednisolone, prednisone, or cyclosporine A versus the use of IVF/ICSI alone.
Data source
Databases were systematically searched in PubMed, Cochrane, and Embase databases in September 2023.
Study Selection
Randomized clinical trials and observational studies with the outcomes of interest were included.
Data collect
We computed odds ratios (ORs) for binary endpoints, with 95% confidence intervals (CIs). Heterogeneity was assessed using I2 statistics. Data were analyzed using Review Manager 5.4.The main outcomes were live birth, miscarriage, implantation rate, clinical pregnancy, and biochemical pregnancy.
Data synthesis
Seven studies with 2,829 patients were included. Immunosuppressive treatments were used in 1,312 (46.37%). Cyclosporine A improved implantation rate (OR 1.48; 95% CI 1.01-2.18) and clinical pregnancy (1.89, 95% CI 1.14-3.14). Compared to non-immunosuppressive treatment, prednisolone and prednisone did not improve live birth (OR 1.13, 95% CI 0.88-1.46) and miscarriage (OR 1.49, 95% CI 1.07-2.09). Prednisolone showed no significant effect in patients undergoing IVF/ICSI, clinical pregnancy (OR 1.34; 95% CI 0.76-2.36), or implantation rate (OR 1.36; 95% CI 0.76-2.42).
Conclusion
Cyclosporine A may promote implantation and clinical pregnancy rates. However, given the limited sample size, it is important to approach these findings with caution. Our results indicate that prednisolone and prednisone do not have any beneficial effects on clinical outcomes of IVF/ICSI patients with repeated implantation failure.
PROSPERO
CRD42023449655
Key-words Cyclosporine APrednisolone Immunosupressive agentsPrednisoneRepeated implantation failureReproductionReproductive techniques, assistedSee more -
Review Article09-06-2024
Relationship between early age at menarche, older age at menopause and subtypes of breast cancer: a scoping review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo50
Abstract
Review ArticleRelationship between early age at menarche, older age at menopause and subtypes of breast cancer: a scoping review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo50
Views282See moreAbstract
Objective
To determine the relationship between early age at menarche, late age at menopause with specific subtypes of breast cancer (BC).
Methods
A literature search was conducted in Embase, Lilacs, PubMed, Scopus, and Scielo databases, following the Joanna Briggs Institute scoping review protocol and answering the question “How early age at menarche or late age at menopause are related to different breast cancer subtypes?”.
Results
A number of 4,003 studies were identified, of which 17 were selected. Most of the included articles found a clear relationship between early menarche, late menopause and some subtypes of BC, mainly, PR+, ER+, luminal, and HER-2 tumors. However, some studies have found a contradictory relationship and one study didn’t find any relationship between them.
Conclusion
A relationship between early age at menarche and advanced age at menopause was observed with some subtypes of breast cancer, since other factors must be considered in its understanding.
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Review Article09-06-2024
Biochemical markers for prediction of the first half pregnancy losses: a review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo72
Abstract
Review ArticleBiochemical markers for prediction of the first half pregnancy losses: a review
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo72
Views282Abstract
Objective
26% of all pregnancies end in miscarriage, and up to 10% of clinically diagnosed pregnancies, and recurrent pregnancy loss is 5% among couples of childbearing ages. Although there are several known causes of pregnancy loss in the first half, including recurrent pregnancy loss, including parental chromosomal abnormalities, uterine malformations, endocrinological disorders, and immunological abnormalities, about half of the cases of pregnancy loss in its first half remain unexplained.
Methods
The review includes observational controlled studies (case-control or cohort, longitudinal studies, reviews, meta-analyses), which include the study of biochemical factors for predicting pregnancy losses in the first half, in singlet pregnancy. The Newcastle-Ottawa Scale (NOS) was used to assess the research quality.
Results
Finally, 27 studies were included in the review, which has 134904 examined patients. The results of the review include estimates of β-human chorionic gonadotropin, progesterone, pregnancy-associated protein – A, angiogenic vascular factors, estradiol, α-fetoprotein, homocysteine and CA-125 as a predictors or markers of the first half pregnancy losses.
Conclusion
It may be concluded that to date, research data indicate the unavailability of any reliable biochemical marker for predicting pregnancy losses in its first half and require either a combination of them or comparison with clinical evidence. A fairly new model shall be considered for the assessment of α-fetoprotein in vaginal blood, which may have great prospects in predicting spontaneous miscarriages.
Key-words Biochemical markerLaboratory markerMiscarriagemissed abortionpredictionPregnancySpontaneous abortionSee more -
Review Article09-04-2024
Artificial intelligence in mammography: a systematic review of the external validation
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo71
Abstract
Review ArticleArtificial intelligence in mammography: a systematic review of the external validation
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo71
Views347See moreAbstract
Objective
To conduct a systematic review of external validation studies on the use of different Artificial Intelligence algorithms in breast cancer screening with mammography.
Data source
Our systematic review was conducted and reported following the PRISMA statement, using the PubMed, EMBASE, and Cochrane databases with the search terms “Artificial Intelligence,” “Mammography,” and their respective MeSH terms. We filtered publications from the past ten years (2014 – 2024) and in English.
Study selection
A total of 1,878 articles were found in the databases used in the research. After removing duplicates (373) and excluding those that did not address our PICO question (1,475), 30 studies were included in this work.
Data collection
The data from the studies were collected independently by five authors, and it was subsequently synthesized based on sample data, location, year, and their main results in terms of AUC, sensitivity, and specificity.
Data synthesis
It was demonstrated that the Area Under the ROC Curve (AUC) and sensitivity were similar to those of radiologists when using independent Artificial Intelligence. When used in conjunction with radiologists, statistically higher accuracy in mammogram evaluation was reported compared to the assessment by radiologists alone.
Conclusion
AI algorithms have emerged as a means to complement and enhance the performance and accuracy of radiologists. They also assist less experienced professionals in detecting possible lesions. Furthermore, this tool can be used to complement and improve the analyses conducted by medical professionals.