Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Region, residency, age of women, sex of child, respondent education, distance health facility, husband education and religion were top predicting factors of short birth interval among women in Ethiopia. …”
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Implications of hormonal carcinogenesis for transgender and gender-diverse people undergoing gender-affirming hormone therapy: an up-to-date review by Matteo Lambertini, Filippo Pietrantonio, Dario Trapani, Francesco Perrone, Rossana Berardi, Saverio Cinieri, Chiara Cassani, Amelia Barcellini, Filippo Ghelardi, Alberto Giovanni Leone, Stefania Bonadonna, Marianna Sirico, Barbara Tagliaferri, Stefano Maccarone, Davide Dalu, Lorenzo Ruggieri, Simone Nardin, Nicla La Verde

“…This narrative review aims to collect and discuss evidence regarding potential correlations between GAHT and the most prevalent tumours known to be influenced by sex hormones. The objective is to comprehend how these potential carcinogenic effects impact health and inform health interventions for TGD individuals. …”
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Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort by Ana Lúcia Miranda, Jarson Pedro da Costa Pereira, Iasmin Matias de Sousa, Glaucia Mardrini Cassiano Ferreira, Mara Rubia de Oliveira Bezerra, Gabriela Villaça Chaves, Fernanda F. Maciel, Leonardo Borges Murad, Sara Maria Moreira Lima Verde, Sílvia Fernandes Maurício, José Barreto Campello Carvalheira, Maria Carolina Mendes, Maria Cristina Gonzalez, Carla M. Prado, Ana Paula Trussardi Fayh

“…Our study indicates that body composition characteristics may vary across countries, highlighting the need for developing sex- and population-specific cutoff values for computed tomography assessments in patients with different types of cancer.…”
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Diagnosis of Peritonsillar Abscess—A Prospective Study Comparing Clinical with CT Findings in 133 Consecutive Patients by François Voruz, Rebecca Revol, Christophe Combescure, Yan Monnier, Minerva Becker, Nicolas Dulguerov

“…<b>Results:</b> PTA was present in 117/133 (88%) patients, with no difference between mean age or sex distribution between the groups with and without PTA. …”
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Reattempt Percutaneous Coronary Intervention of Chronic Total Occlusions after Prior Failures: A Single-Center Analysis of Strategies and Outcomes by Mingqiang Fu, Shufu Chang, Lei Ge, Dong Huang, Kang Yao, Feng Zhang, Qing Qin, Jianying Ma, Juying Qian, Junbo Ge

“…Data on clinical factors (age, sex, comorbidities, left ventricular ejection fraction, history of cigarette usage, and revascularization), angiographic characteristics of CTOs (target lesion, Japanese Chronic Total Occlusion (J-CTO) score, the morphology of CTO lesions, and collateral channel scale), strategies (procedural approach and use of devices), and major adverse events were obtained and analyzed. …”
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Spatial distribution and influencing factors of secondhand smoke exposure in Chinese healthcare facilities: a cross-sectional survey by Ying LIU, Xinying ZENG, Lin XIAO, Shiwei LIU

“…OLS spatial regression model analysis showed that regions with a higher proportion of males (β = 23.878, t = 3.207, P = 0.003), a higher proportion of individuals aged 0 – 14 years (β = 0.751, t = 3.665, P < 0.001), a higher proportion of individuals aged 15 – 64 years (β = 0.929, t = 3.279, P = 0.003), a higher illiteracy rate (β = 0.675, t = 2.703, P = 0.011), a higher tobacco consumer price index (β = 2.563, t = 2.384, P = 0.024), and a lower proportion of cities with smoke-free legislation (β = 0.069, t = 2.119, P = 0.034) had higher SHS exposure rates in healthcare facilities.ConclusionsSHS exposure in Chinese healthcare facilities is mainly concentrated in central-south, southwest, and northwest China. Sex ratio, the proportions of individuals aged 0 – 14 years and 15 – 64 years, illiteracy rate, tobacco consumer price index, and the proportion of cities with smoke-free legislation are the main influencing factors of SHS exposure in healthcare facilities in China.…”
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The efficacy of open transanal drainage tube against anastomotic leakage in left-sided colorectal cancer surgery: a propensity score matching study by Gen Tsujio, Tatsunari Fukuoka, Atsushi Sugimoto, Ken Yonemitsu, Yuki Seki, Hiroaki Kasashima, Yuichiro Miki, Mami Yoshii, Tatsuro Tamura, Masatsune Shibutani, Takahiro Toyokawa, Shigeru Lee, Kiyoshi Maeda

“…PSM was performed between the OPEN and CLOSED groups on the basis of the following 13 factors: age, sex, BMI, diabetes mellitus (DM), smoking history, modified Glasgow prognostic score (mGPS), ASA-PS, location of distal tumor edge, operative procedure, surgical approach, operative time, intraoperative blood loss, and pathological stage. …”
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HIV-Positive Status Disclosure and Associated Factors among HIV-Positive Adult Patients Attending Art Clinics at Public Health Facilities of Butajira Town, Southern Ethiopia by Tamirat Melis Berhe, Lire Lemma, Addissu Alemayehu, Desalegn Ajema, Mustefa Glagn, Samuel Dessu

“…Discussing about safer sex (AOR: 3.5; 95% CI: 1.3, 9.4), viral load suppression (AOR: 4; 95% CI: 1.5, 10.1), having good ART adherence (AOR: 6; 95% CI: 2.4, 14.0), receiving counseling (AOR: 2.5; 95% CI: 1.01, 6.3), and perceiving stigma (AOR: 0.25; 95% CI: 0.09, 0.60) were the independent factors associated with HIV-positive status disclosure. …”
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Leucocytosis and Asymptomatic Urinary Tract Infections in Sickle Cell Patients at a Tertiary Hospital in Zambia by Taonga Musonda, Mildred Zulu, Mulemba Samutela, Annie Kalonda, Hamakwa Mantina, Pauline Okuku, Musalula Sinkala, Panji Nkhoma

“…We found no significant association between bacterial isolates and white blood cell count, age groups, sex, and anaemia severity p=0.41. None of the participants were diagnosed with kidney disease. …”
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Influencing factors and changing trends of depressive symptoms among middle and junior high school students in Eastern China from 2019 to 2023: a cross-sectional study by Xingchen Zhu, Na An, Zaixiang Tang, Jianping Huang, Qingxin Ren, Yue Wu

“…Conclusion Educational stage, sex, family type, and duration of outdoor activities and sleep were factors that influenced depressive symptoms among middle and junior high school students. …”
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Anemia, Thrombocytopenia, and Changes in Biochemical Parameters Occurring in Patients with Uncomplicated Plasmodium falciparum Malaria: Data Analysis from Antimalarial Efficacy-Ran... by Khadime Sylla, Roger Tine, Doudou Sow, Souleye Lelo, Annie Abiola, Jean Louis NDiaye, Magatte NDiaye, Kuaku Folly, Léon Amath NDiaye, Oumar Gaye, Babacar Faye

“…Male subjects represented 58.47% (sex ratio was 1.4 for males). The mean hemoglobin level at inclusion (D0) was 9.79 g/dl and anemia (Hb<11 g/dl) was 71.43% (aOR=1.16 0.68−1.98p=0.57). …”
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Clinical results of autologous fat transfer for basal thumb arthritis with a minimum of three years’ follow-up by Elisabeth M. Haas-Lützenberger, Iana Emelianova, Moritz C. Bader, Sinan Mert, Nicholas Moellhoff, Wolfram Demmer, Ursula Berger, Riccardo Giunta

“…Pain, both at rest and during stress, significantly improved at one year and remained stable through three years. Sex, age, and stage of disease were not associated with postoperative pain levels. …”
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Behavioural Risk for HIV, Hepatitis B, and Hepatitis C Infections among a Population of Drug Users and Injectors across Four Regions in Ghana by Chris Guure, Sharren Margaret Obiri-Yeboah Laryea, Samuel Dery, Carlota Baptista da Silva, Comfort Asamoah-Adu, Stephen Ayisi-Addo, Maria-Goretti Loglo, Adamu Mohammed, Kwasi Torpey

“…Drug users who identified themselves as part of the general population were 66% less likely to be tested HIV positive (POR = 0.34, CrI: 0.12–0.81) compared to sex workers. Part time employment respondents had fivefold odds (POR = 5.50, CrI: 1.20–16.16) of being HBV positive as against full-time employment. …”
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Stress and Interpersonal Relationships in Medical Students During Public Health Emergencies: A Network Analysis by Cui Y, Guo Z, Yang T, Zhang M, Mu H, Li J, Fang J, Du T, Yang X

“…The edges between S1 “personal hassle” and R3 “dealing with people”, S2 “academic hassle” and R2 “socializing”, and S3 “negative life event” and R4 “dating someone of the opposite sex” were the strongest. S1 “personal hassle” had the greatest BEI of the stress community (0.44), and R3 “dealing with people” had the greatest BEI of the interpersonal relationship community (0.19).Conclusion: This study used network analysis to investigate the relationship between stress and interpersonal relationships in Chinese medical students at the component level for the first time and highlight that the critical bridge variables “personal hassle” and “dealing with people” may contribute to preventing and relieving stress in Chinese medical students.Keywords: medical students, stress, interpersonal relationship, network analysis, public health emergency…”
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Neuroendocrine Neoplasms of the Gallbladder: A Clinicopathological Analysis of 13 Patients and a Review of the Literature by Pengyan Wang, Jingci Chen, Ying Jiang, Congwei Jia, Junyi Pang, Shan Wang, Xiaoyan Chang

“…Kaplan-Meier’s analysis demonstrated that liver metastasis and TNM stage III-IV were associated with decreased OS (P<0.05), whereas age, sex, tumor size, grade of the neuroendocrine component, lymph node metastasis, and adjuvant chemotherapy were not significantly prognostic indicators of OS. …”
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The role of the KIBRA and APOE genes in developing spatial abilities in humans by A. V. Kazantseva, R. F. Enikeeva, Yu. D. Davydova, R. N. Mustafin, Z. R. Takhirova, S. B. Malykh, M. M. Lobaskova, T. N. Tikhomirova, E. K. Khusnutdinova

“…Multiple regression analysis, which was carried out in the total sample controlling for sex, ethnicity and the presence of the “risk” APOE ε4 allele, demonstrated the association of the rs17070145 Т-allele in the KIBRA gene with enhanced spatial ability (β = 1.32; pFDR = 0.037) compared to carriers of the rs17070145 CC-genotype. …”
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Relationship between alcohol use and overactive bladder disease: a cross-sectional study of the NHANES 2005–2016 by Yixin Zhang, Weijun Qin

“…These findings suggest that higher alcohol consumption, when appropriate, is associated with a lower risk of OAB compared to nondrinkers and the lowest quartile of alcohol consumption quantity group, even after adjusting for age, sex, race, and comorbidities.ConclusionIn conclusion, our findings revealed a significant association between alcohol consumption and the incidence of OAB in the study population. …”
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Trends in survival of patients with stage I/II Burkitt lymphoma in the United States: A SEER database analysis by Ze‐Long Liu, Pan‐Pan Liu, Xi‐Wen Bi, De‐Xin Lei, Yu Wang, Zhi‐Ming Li, Wen‐Qi Jiang, Yi Xia

“…Older age and race of black were correlated with poorer OS in multivariate analysis, whereas sex, primary sites, and application of radiotherapy did not significantly influence OS. …”
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Vitamin D Status and VDR Genotype in NF1 Patients: A Case-Control Study from Southern Brazil by Larissa Souza Mario Bueno, Clévia Rosset, Ernestina Aguiar, Fernando de Souza Pereira, Patrícia Izetti Ribeiro, Rosana Scalco, Camila Matzenbacher Bittar, Cristina Brinckmann Oliveira Netto, Guilherme Gischkow Rucatti, José Artur Chies, Suzi Alves Camey, Patricia Ashton-Prolla

“…Vitamin D levels were compared between a group of 45 NF1 patients from Southern Brazil and 45 healthy controls matched by sex, skin type, and age. Genotypic and allelic frequencies of VDR gene polymorphisms were obtained from the same NF1 patients and 150 healthy controls. 25(OH)D deficiency or insufficiency was not more frequent in NF1 patients than in controls (p=0.074). …”
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Prevalence, cessation, and geographical variation of smoking among middle-aged and elderly adults in China: A population-based study by Qingjia Zeng, Chongyang Zhang, Feiyu Su, Yanli Wan, Wen-jun Tu, Hongpu Hu

“…This cross-sectional study presented the standardized prevalence of smoking and cessation across various demographics, including age, sex, residence, income, education, BMI, and geographical region. …”
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