The Effect of Elevated Basal Follicle Stimulating Hormone Levels on Assisted Reproductive Technology Cycle Outcomes by Inci Kahyaoglu, Hatice Yilmaz Dogru, Sezin Erturk Aksakal, Iskender Kaplanoglu, Serdar Dilbaz, Leyla Mollamahmutoglu

“…STUDY DESIGN: Cycles with basal day 3 follicle-stimulating hormone values >12 IU/mL were divided into four cohorts according to follicle-stimulating hormone levels: group I, follicle-stimulating hormone between 12-15 IU/m, group II between 15-20 IU/mL, group III between 20-25 IU/mL and group IV >25 IU/mL. Both demographic characteristics and controlled ovarian stimulation parameters were retrospectively reviewed. …”
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Efficacy and Safety of the Triple Therapy Containing Ilaprazole, Levofloxacin, and Amoxicillin as First-Line Treatment in Helicobacter pylori Infections by Hyo Jun Ahn, Dong Pil Kim, Myeong Su Chu, Hyeon Jeong Yun, Seok-Hwan Kim, Seung Woo Lee, Dong Soo Lee

“…Of 84 patients included in the analysis, the eradication rate was 88.8% in the per protocol group (n=80). Demographic factors such as age, gender, body mass index (BMI), alcohol, smoking, hypertension, diabetes mellitus, and peptic ulcer did not affect the eradication rate. …”
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Exploration of whether socioeconomic factors affect the results of priority setting partnerships: updating the top 10 research priorities for the management of Parkinson’s in an in... by Michael Lawton, Inga Liepelt-Scarfone, Rejko Krüger, Michele T Hu, Christine Lo, Charlotte Woodward, Francesca Bowring, Jessica Welch, Patricia Sulzer, Anne-Marie Hanff

“…Responders were encouraged to pass on the survey to friends/families/carers.Methods The survey involved rating the importance of research questions on a Likert scale, allowing for the generation of one new question participants felt was particularly important. Collection of demographic information allowed for comparisons of priorities across a range of socioeconomic variables; the top 10 research priorities for each group were then compared. …”
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Genomic and transcriptomic insights into vitamin A-induced thermogenesis and gene reuse as a cold adaptation strategy in wild boars by Mingpeng Zhang, Aleksei Traspov, Jiawen Yang, Min Zheng, Veronika R. Kharzinova, Huashui Ai, Natalia A. Zinovieva, Lusheng Huang

“…We also gathered 75 high-quality RNA-seq datasets from 10 tissues of 6 wild boars from Russia and 6 from southern China. Demographic analysis revealed the appearance of Russian wild boars in Far East of Asia (RUA) and Europe (RUE) after the last glacial maximum till ~ 10 thousand years ago. …”
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Understanding Code Blue Activations: Insights From Early Warning and Palliative Scores in a Tertiary Hospital by Giwangkancana GW, Setiasih YG, Hasanah A, Persiyawati Y, Wawan

“…This study aims to determine the frequency, demographic characteristics, and outcomes of Code Blue activations in a tertiary teaching hospital in a low-middle-income country.Methods: This retrospective observational study was conducted at in National Referral and Teaching Hospital in a middle income country in Asia, covering data from January 1, 2017, to December 31, 2023. …”
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Patient “No-Show” Prior to Elective Primary Total Hip Arthroplasty Increases Risk of Postoperative Anemia by Jeffrey S. Mun, BA, Matthew W. Parry, MD, MS, Alex Tang, MD, Jesse J. Manikowski, MS, Cory Crinella, PA-C, John J. Mercuri, MD, MA

“…Information collected included number of NS and attended appointments, demographics, comorbidities, and 90-day postoperative complications. …”
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Exploring the association between pro-inflammatory diets and chronic liver diseases: evidence from the UK Biobank by Lili Pan, Lili Pan, Zhengrong Xu, Yining Li, Guoen Cai, Haibing Gao, Shenglong Lin

“…Subgroup analyses confirmed the robustness of the DII's association across various demographic and lifestyle factors. Moreover, a higher DII was positively associated with the progression of CLD to cirrhosis. …”
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Hyperactive Behavior Screening and Its Influencing Factors in Preschool Children Based on a Computer Cloud Platform by YIN Xiaona, SHEN Longbin, WANG Nan, ZHANG Jinyu, WU Jianbo, QIU Shuangyan, LEI Haiyan, CHEN Zhuoming

“…The innovation of this experiment was to place the questionnaire collection scale, which has been proved to be effective and feasible by experts in the field, on the computer cloud platform to realize intelligent data collection and intelligent analysis, so as to facilitate early screening and intelligent judgment. The general demographic data of the respondents were collected using the questionnaire prepared and proved by experts. …”
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Clinicopathological risk factors of oral second primary tumours by Jelena Karan, Miriam P. Rosin, Lewei Zhang, Denise M. Laronde

“…This study evaluates the demographic and clinicopathological risk predictors of SPTs. …”
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The epidemiology of substance use disorders in Saudi Arabia: findings from the Saudi national mental health survey by Yasmin Altwaijri, Corina Benjet, Marya Akkad, Lisa Bilal, Mohammad Talal Naseem, Abdulhameed Al-Habeeb, Abdullah S. Al-Subaie, Nouf K. Al-Saud

“…These findings underscore the need for targeted prevention and intervention programs tailored to the demographic and cultural context of Saudi Arabia.…”
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The Relationship of Hematologic Parameters and Lipid Profile with Acute Ischemic Stroke by Sibel Canbaz Kabay, Fatma Akkoyun Arıkan, Dursun Ceylan, Merve Yatmazoğlu Çetin, Niyazi Uysal, Muhammed Alperen Bardakçı, Gönül Akdağ, Mustafa Çetiner, Emine Saygın Uysal

“…Materials and Methods: Our study was designed as retrospective and cross-sectional. 94 patients with AIS who received inpatient treatment in our clinic with a diagnosis of acute ischemic stroke were included in the study. Laboratory data, demographic, and clinical characteristics were recorded at the time of admission. …”
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Impact of psychotropic pro re nata prescription-monitoring programme on prescriptions for inpatients with psychiatric disorders: a retrospective observational study by Yoshitaka Saito, Kyohei Sumida, Hiroyuki Muraoka, Satoru Oishi, Ryutaro Suzuki, Taiyo Nishikawa, Shin Miyake, Yukihiro Tanno, Yuki Tobita, Katsuya Otori, Ken Inada

“…The psychotropic PRN prescription-monitoring programme was implemented in July 2022, and the participants were classified into monitoring and non-monitoring groups. Demographic data (age, sex, and diagnosis), regular prescriptions before admission and at discharge, psychotropic PRN prescriptions before admission and at discharge, and the total number of psychotropic PRN prescriptions during hospitalisation were compared between the two groups. …”
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Screening for diabetic retinopathy at a health centre in South Africa: A cross-sectional study by Ntokozo Zulu, Patrick Ngassa Piotie, Elizabeth M. Webb, Wezi G. Maphenduka, Steve Cook, Paul Rheeder

“…Fundus images were analysed by an optometrist and an artificial intelligence (AI) programme. Demographic and clinical data were collected. Results: A total of 120 participants were included, with the majority (60.7%) from Laudium CHC. …”
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Cesarean delivery in Nigeria: prevalence and associated factors―a population-based cross-sectional study by Asa Auta, Emmanuel O Adewuyi, Vishnu Khanal, Samson J Tapshak, Yun Zhao

“…Objective To investigate the prevalence and factors associated with caesarean delivery in Nigeria.Design This is a secondary analysis of the nationally representative 2013 Nigeria Demographic and Health Survey (NDHS) data. We carried out frequency tabulation, χ2 test, simple logistic regression and multivariable binary logistic regression analyses to achieve the study objective.Setting Nigeria.Participants A total of 31 171 most recent live deliveries for women aged 15–49 years (mother–child pair) in the 5 years preceding the 2013 NDHS was included in this study.Outcome measure Caesarean mode of delivery.Results The prevalence of caesarean section (CS) was 2.1% (95% CI 1.8 to 2.3) in Nigeria. …”
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Clinical Features and Outcome of Mucormycosis by Carlos Rodrigo Camara-Lemarroy, Emmanuel Irineo González-Moreno, René Rodríguez-Gutiérrez, Erick Joel Rendón-Ramírez, Ana Sofía Ayala-Cortés, Martha Lizeth Fraga-Hernández, Laura García-Labastida, Dionicio Ángel Galarza-Delgado

“…We retrospectively analyzed the demographic and clinical data of 14 consecutive patients that presented with MCM in a tertiary-care teaching hospital in northern Mexico. …”
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Association between systemic inflammatory response index and glaucoma incidence from 2005 to 2008 by Xiang Li, Yi Qing Sun, Xiao Dan Zhong, Zhi Jie Zhang, Jia Feng Tang, Zhan Yang Luo

“…Logistic regression models were employed to assess the relationship between these indices and glaucoma, adjusting for demographic and health-related variables.ResultsA significant positive association was found between elevated log2SIRI levels and the prevalence of glaucoma (Model 3: OR 1.24, 95% CI 1.07–1.44, p < 0.005). …”
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A Cross-Sectional Study on the Affordable Care Act from the Perspective of People Living with HIV: The Interplay between Knowledge, Stigma, Trust, and Attitudes by Christopher Kaperak, Sarah Elwood, Tamara Saint-Surin, Christopher Winstead-Derlega, Robert O. Brennan, Rebecca Dillingham, Kathleen A. McManus

“…Participants were surveyed about demographic characteristics, ACA knowledge, HIV stigma, trust in various healthcare and government entities, and attitudes toward the ACA. …”
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Rotavirus infections in the pediatric population: a comparative study of pre-COVID and COVID-19 pandemic periods by Bahar Öztelcan Gündüz, Kazım Kutlutürk, Bülent Ünay

“…Patient data, including demographic characteristics, presenting complaints, laboratory results, and hospitalization status, were collected from hospital records. …”
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Rabies knowledge and prevention practices in Gombe state, Nigeria: a community-based comparative cross-sectional study of rabies hotspot and non-hotspot areas by Eugene Chidi Eugene, Pius Odunze, Bile Nuhu, Olukemi Titilope Olugbade, Mishel Dauda, Abiodun Egwuenu, Olugbemisola W. Samuel, Hilary I. Okagbue

“…A semi-structured, pre-tested digital interviewer-administered questionnaire was used to collect data on socio-demographics, rabies knowledge, and prevention practices. …”
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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

“…The groups were not matched on some demographic variables, but the present findings held even after accounting for these differences. …”
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