Natural Orifice Specimen Extraction as a Promising Alternative for Minilaparotomy in Bowel Resection Due to Endometriosis: A Systematic Review and Meta-Analysis.

OBJECTIVE: This study focuses on evaluating the effectiveness, safety and efficacy of 2 surgical tissue extraction methods for treating bowel endometriosis: natural orifice specimen extraction (NOSE) and minilaparotomy. DATA SOURCES: A systematic search was conducted in MedLine, Embase, and Cochrane Library databases in October 2023, without date restrictions. METHODS OF STUDY SELECTION: This study included studies that directly compared NOSE and minilaparotomy in colectomy patients due to endometriosis. Primary outcomes were defined as operation duration, length of hospital stay, intraoperative blood loss, and major postoperative complication rates. The Clavien-Dindo classification was used to categorize complications. Statistical analysis was performed using Review Manager Software by Cochrane, with a DerSimonian and Laird random-effects model to account for anticipated high heterogeneity. Subgroup analysis was conducted for patients undergoing full laparoscopic (L/S) resection. TABULATION, INTEGRATION AND RESULTS: Out of 1236 identified studies, 6 met the inclusion criteria, comprising 372 patients. One study was a randomized controlled trial, and 5 were observational. Operation duration did not significantly differ between NOSE and minilaparotomy (MD: -10.85 min; 95% CI: [-23.33, 1.63]; p = .09). NOSE was associated with a significantly reduced length of hospital stay (MD: -0.76 day; 95% CI: [-1.21, -0.31]; p = .008). The major postoperative complication rates were 3.77% for NOSE and 5.55% for minilaparotomy, with no significant difference (OR: 0.84; 95% CI: [0.27, 2.60]; p = .76). Subgroup analysis revealed that Full L/S had significantly shorter operation duration (MD: -26.06 min; 95% CI: [-45.85, -6.27]; p = .01), reduced length of stay (MD: -0.75 day; 95% CI: [-1.25, -0.25]; p = .003), and lower blood loss (MD: -15.01 mL; 95% CI: [-29.64, -0.37]; p = .04). CONCLUSION: NOSE emerged as a potentially safer alternative to minilaparotomy for tissue extraction in colectomy for bowel endometriosis. However, standardization of the procedure and additional randomized controlled trials are needed to validate these findings.

Are antral follicle count and serum anti-Mullerian hormone level, as reliable markers of ovarian reserve, affected by UV radiation?

ObjectiveWe aimed to assess whether ovarian reserve test including serum follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), anti-Mullerian hormone (AMH) levels, and antral follicle count (AFC) which are ovarian reserve markers are affected by ultraviolet (UV) radiation or not.MethodsWomen between the ages of 25 and 40 who served as flight crew constituted the study population in this prospective case-control study. Age-matched women having no risk factor for low ovarian reserve were selected as control group. Participants were compared according to age, duration in profession, and ovarian reserve markers.ResultsA total of 134 patients were included: 66 participants in study group and 68 participants in control group. Serum AMH levels and AFC were found to be significantly lower while serum FSH and E2 levels were significantly higher in the study group. This difference was found to be more significant, especially in the advanced age group. When the participants were classified according to their working time, lower ovarian reserve was observed in women with longer working time.DiscussionWorking for a while in the air and being closer to the sun have negative effects on ovarian functions. Preventive measures may be taken earlier in flight crew than those in the normal population to prevent the decline of ovarian functions and possible conceiving problems.

Understanding AI's Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review.

BACKGROUND: Endometriosis is a chronic gynecological condition that affects a significant portion of women of reproductive age, leading to debilitating symptoms such as chronic pelvic pain and infertility. Despite advancements in diagnosis and management, patient education remains a critical challenge. With the rapid growth of digital platforms, artificial intelligence (AI) has emerged as a potential tool to enhance patient education and access to information. OBJECTIVE: This systematic review aims to explore the role of AI in facilitating education and improving information accessibility for individuals with endometriosis. METHODS: This review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to ensure rigorous and transparent reporting. We conducted a comprehensive search of PubMed; Embase; the Regional Online Information System for Scientific Journals of Latin America, the Caribbean, Spain and Portugal (LATINDEX); Latin American and Caribbean Literature in Health Sciences (LILACS); Institute of Electrical and Electronics Engineers (IEEE) Xplore, and the Cochrane Central Register of Controlled Trials using the terms "endometriosis" and "artificial intelligence." Studies were selected based on their focus on AI applications in patient education or information dissemination regarding endometriosis. We included studies that evaluated AI-driven tools for assessing patient knowledge and addressed frequently asked questions related to endometriosis. Data extraction and quality assessment were conducted independently by 2 authors, with discrepancies resolved through consensus. RESULTS: Out of 400 initial search results, 11 studies met the inclusion criteria and were fully reviewed. We ultimately included 3 studies, 1 of which was an abstract. The studies examined the use of AI models, such as ChatGPT (OpenAI), machine learning, and natural language processing, in providing educational resources and answering common questions about endometriosis. The findings indicated that AI tools, particularly large language models, offer accurate responses to frequently asked questions with varying degrees of sufficiency across different categories. AI's integration with social media platforms also highlights its potential to identify patients' needs and enhance information dissemination. CONCLUSIONS: AI holds promise in advancing patient education and information access for endometriosis, providing accurate and comprehensive answers to common queries, and facilitating a better understanding of the condition. However, challenges remain in ensuring ethical use, equitable access, and maintaining accuracy across diverse patient populations. Future research should focus on developing standardized approaches for evaluating AI's impact on patient education and exploring its integration into clinical practice to enhance support for individuals with endometriosis.

Can platelet activation markers predict preeclampsia and/or its severity?

OBJECTIVE: This study aimed to evaluate the value of platelet activation markers in predicting preeclampsia and its severity. Preeclampsia is a serious pregnancy complication that affects 3-5% of pregnancies and can lead to significant morbidity and mortality for both the mother and the fetus. METHODS: The study included 99 patients diagnosed with preeclampsia and 60 healthy pregnant women as a control group. Platelet activation markers such as mean platelet volume (MPV), platelet distribution width (PDW), platelet count, and plateletcrit were evaluated along with other clinical parameters. RESULTS: The results of the study showed that platelet activation markers, particularly PDW and MPV, are valuable in the diagnosis and follow-up of preeclampsia. However, they are not sufficient to predict the severity of the disease. CONCLUSION: The study suggests that platelet activation markers could aid in predicting, diagnosing, and managing preeclampsia. However, further research is needed to determine the role of these markers in predicting the severity of the disease. The findings of this study could contribute to the development of more effective strategies for the prevention and management of preeclampsia, which could ultimately improve maternal and fetal outcomes.

OBJETIVO: El estudio tuvo como objetivo determinar el valor de los marcadores de activación plaquetaria en la predicción de la preeclampsia y su gravedad. MÉTODO: Se incluyeron 99 pacientes diagnosticadas con preeclampsia, incluyendo 36 casos graves, y un grupo control de 60 mujeres embarazadas sanas. Se evaluaron diversas variables, como el volumen plaquetario medio, el recuento de plaquetas, el hematocrito plaquetario y la amplitud de distribución plaquetaria. RESULTADOS: Los resultados mostraron que el volumen plaquetario medio y la amplitud de distribución plaquetaria son parámetros valiosos en el diagnóstico y seguimiento de la preeclampsia, aunque no son suficientes para predecir su gravedad. El análisis estadístico reveló que la edad, el volumen plaquetario medio, la amplitud de distribución plaquetaria, la semana de gestación y los puntajes de Apgar al primer y quinto minuto fueron significativamente diferentes en el grupo de preeclampsia en comparación con el grupo control. CONCLUSIONES: En conclusión, estos resultados sugieren que los marcadores de activación plaquetaria pueden ser útiles para el diagnóstico y seguimiento de la preeclampsia, y que el volumen plaquetario medio y la amplitud de distribución plaquetaria, por ser parámetros económicos y accesibles, podrían ayudar a predecir, diagnosticar y manejar esta complicación durante el embarazo.

Impact of deep phenotyping: high diagnostic yield in a diverse pediatric population of 172 patients through clinical whole-genome sequencing at a single center.

Background: Pediatric patients with undiagnosed conditions, particularly those suspected of having Mendelian genetic disorders, pose a significant challenge in healthcare. This study investigates the diagnostic yield of whole-genome sequencing (WGS) in a pediatric cohort with diverse phenotypes, particularly focusing on the role of clinical expertise in interpreting WGS results. Methods: A retrospective cohort study was conducted at Acibadem University's Maslak Hospital in Istanbul, Turkey, involving pediatric patients (0-18 years) who underwent diagnostic WGS testing. Clinical assessments, family histories, and previous laboratory and imaging studies were analyzed. Variants were classified and interpreted in conjunction with clinical findings. Results: The cohort comprised 172 pediatric patients, aged 0-5 years (62.8%). International patients (28.5%) were from 20 different countries. WGS was used as a first-tier approach in 61.6% of patients. The diagnostic yield of WGS reached 61.0%, enhanced by reclassification of variants of uncertain significance (VUS) through reverse phenotyping by an experienced clinical geneticist. Consanguinity was 18.6% of the overall cohort. Dual diagnoses were carried out for 8.5% of solved patients. Discussion: Our study particularly advocates for the selection of WGS as a first-tier testing approach in infants and children with rare diseases, who were under 5 years of age, thereby potentially shortening the duration of the diagnostic odyssey. The results also emphasize the critical role of a single clinical geneticist's expertise in deep phenotyping and reverse phenotyping, which contributed significantly to the high diagnostic yield.