Prevalence and factors associated with the multiple morbidity of postpartum depression, diabetes mellitus and hypertension among mothers in Mbarara district, south western Uganda:... by Catherine Atuhaire, Kabanda Taseera, Daniel Atwine, Samuel Maling, Francis Bajunirwe, Godfrey Zari Rukundo

“…Results: The prevalence of multiple morbidity was 13.6% (95% CI: 10.2–19.3%). The prevalence of multi - morbidity did not vary significantly across age categories, p = 0.056. …”
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A latent profile analysis of postoperative quality of life in anal fistula patients and its influencing factors (肛瘘术后患者生活质量的潜在剖面分析及其影响因素研究)... by ZHANG Shuixia (张水夏), CHEN Piao (陈飘), PAN Yajun (潘亚君), HE Sixin (何思欣), WANG Miaolan (王淼兰), LIANG Xiaoqing (梁小青), LIANG Bingyi (梁炳仪), XU Zhaojun (徐召君)

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Comprehensive RAD51C ovarian cancer variant analysis uncouples homologous recombination and replicative functions by Hayley L. Rein, Yashpal Rawal, Anna L. Palovcak-Lightbourn, Gayatri S. Ganesan, Phoebe S. Parker, Reagan Russell, Kristie E. Darrah, Mohammad Afsar, Meghan R. Sullivan, Sarah R. Hengel, Marc R. Radke, Patricia L. Opresko, Judith L. Yanowitz, Eric C. Greene, Jung-Min Lee, Susan M. Domchek, Elizabeth M. Swisher, Shaun K. Olsen, Patrick Sung, Kara A. Bernstein

“…Thus, our analysis of RAD51C identifies additional VUS with functional defects, which will aid in pathogenicity classification and inform future strategies to treat individuals harboring RAD51C loss-of-function alleles.…”
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Identification and functional characterization of prognosis-related ferroptosis-associated lncRNAs in colorectal cancer by Xiaoxu Ge, Xiaoxu Ge, Xiaoxu Ge, Xiaoxu Ge, Xiaoxu Ge, Jiasheng Xu, Jiasheng Xu, Jinjie He, Jinjie He, Jinjie He, Jinjie He, Jinjie He, Jian Wang, Jian Wang, Jian Wang, Jian Wang, Jian Wang, Yucheng Qian, Yucheng Qian, Yucheng Qian, Yucheng Qian

“…Through multivariate Cox regression analysis, we constructed a prognostic model and selected three key lncRNAs: Lnc-SH2D3A-2, Lnc-LSS-1, and Lnc-PEX11G-4. …”
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A study on the effectiveness of machine learning models for hepatitis prediction by Popy Khatun, Shafeel Umam, Rubaiya Binte Razzak, Iffat Binta Shamsuddin, Nahid Salma

“…We employed one traditional predictive model, logistic regression, alongside six machine learning models: support vector machine (SVM), K-nearest neighbors (KNN), artificial neural network (ANN), random forest (RF), AdaBoost, and XGBoost. …”
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Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City by Siting Chen, Bingjie Yu, Guang Shi, Yiping Cai, Yanyu Wang, Pingge He

“…A multi-scale analysis framework was applied, including four spatial scales (100 m, 200 m, 500 m, and 1000 m) and three temporal classifications (daytime/nighttime/dawn, weekdays/weekends, and seasonal divisions). …”
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Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening by Hangjing Gao MS, Guanxiang Huang MS, Binhua Dong MS, Ye Li MS, Hongning Cai MD, Xianqian Chen MS, Tingting Jiang MS, Kelvin Stefan Osafo MS, Dabin Liu MS, Jiancui Chen MS, Huihua Ge MS, Diling Pan MS, Huifeng Xue MS, Pengming Sun PhD, MD

“…Females with acetowhite changes on colposcopy, transformation zone (TZ) type II, TZ type III, colposcopic impression of high-grade squamous intraepithelial lesion, or cancer were at a high risk of positive ECC. …”
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eGFRCystatin C, difference between eGFRCystatin C and eGFRCre and heart failure: Insight from the NHANES 2001–2002 and Mendelian randomization analysis by Zhiyu Gu, Rui Zhang, Weihong Chang, Hongxuan Fan, Zixuan Dou, Peng Liu, Aman Liu, Boda Zhou

“…Weighted multivariable-adjusted logistic regression and Kaplan-Meier survival analysis was used in corhort study. …”
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Comparative study of National Institute of Health criteria and TNM staging system in predicting the prognosis of gastrointestinal stromal tumours: a retrospective study by Jin-hu Chen, Zhen-rong Yang, Zhi-ming Cai, Tao Lin, Ren Lin, Xin-cheng Su, Rong-bin Kang, Lu Lin, Zai-sheng Ye, Yong-jian Zhou

“…BackgroundIn 2009, the American Joint Commission on Cancer incorporated the gastrointestinal stromal tumours (GISTs) risk classification into the tumour, node, metastasis (TNM) staging system. …”
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Exploring voice as a digital phenotype in adults with ADHD by Georg G. von Polier, Eike Ahlers, Julia Volkening, Jörg Langner, Kaustubh R. Patil, Simon B. Eickhoff, Florian Helmhold, Agnieszka Ewa Krautz, Daina Langner

“…Psychiatric comorbidity did not alter the classification performance. Voice features were associated with ADHD-symptom severity as indicated by random forest regressions. …”
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Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects by Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh

“…SVM models have demonstrated 71.50% accuracy on training datasets and 68.57% on testing datasets for NTD classification, while advanced deep learning (DL) methods report patient-level prediction accuracy of 94.5% and an area under the receiver operating characteristic curve (AUROC) of 99.3%. …”
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Constructing a tumor immune microenvironment-driven prognostic model in acute myeloid leukemia using bioinformatics and validation data by Amir Abbas Navidinia, Ali Keshavarz, Bentol Hoda Kuhestani Dehaghi, Reza Khayami, Najibe Karami, Vahid Amiri, Mehdi Allahbakhshian Farsani

“…Immune scores correlated with FAB classification (ESTIMATE: p-value = 1.4e − 8; xCell: p-value = 3.7e − 9) and overall survival (ESTIMATE: v = 0.041). …”
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Perioperative Outcomes of Intramedullary Nail vs Hemiarthroplasty vs Total Hip Arthroplasty for Intertrochanteric Fracture: An Analysis of 31,519 Cases by Natalia Czerwonka, MD, Sohil S. Desai, MD, Puneet Gupta, MD, Roshan P. Shah, MD, JD, Jeffrey A. Geller, MD, H. John Cooper, MD, Alexander L. Neuwirth, MD

“…Outcomes of interest included reoperation, readmission, operative time, length of stay, and major and minor complications. Multivariate regression was used to evaluate differences in postoperative outcomes between groups. …”
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Assessment of Plasmodium vivax transmission and asymptomatic carriage risk among artisanal gold miners in western French Guiana, 2014–2020 by Alice Sanna, Yann Lambert, Stéphane Pelleau, Lise Musset, Yassamine Lazrek, Louise Hureau, Hedley Cairo, Stephen Vreden, Michael White, Maylis Douine

“…Factors associated with P. vivax seropositivity were analysed by multiple logistic regression. The probability of carrying P. vivax parasites (blood-stage or hypnozoite) was estimated by a classification drawn from PCR results, SEM and reported recent history of illness. …”
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Identification of prognostic factors to predict cognitive decline of patients with early Alzheimer's disease in the Japanese Alzheimer's Disease Neuroimaging Initiative study by Takuya Yagi, Michio Kanekiyo, Junichi Ito, Ryoko Ihara, Kazushi Suzuki, Atsushi Iwata, Takeshi Iwatsubo, Ken Aoshima, Alzheimer's Disease Neuroimaging Initiative, Japanese Alzheimer's Disease Neuroimaging Initiative

“…Based on a detailed subscale analysis on ADAS‐cog13, four subscales (Q1: word recall, Q3: construction, Q4: delayed word recall, and Q8: word recognition) were identified as prognostic factors in both J‐ADNI and NA‐ADNI. …”
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Characteristics of patients with idiopathic normal pressure hydrocephalus for whom neurosurgeons hesitate to perform shunt surgery: a nationwide hospital-based survey in Japan by Ryo Kawai, Hiroaki Kazui, Tetsuya Ueba, Natsuko Nakamura, Marina Minami, Madoka Nakajima, Shigeki Yamada, Haruhiko Kishima, Hideki Kanemoto, Chifumi Iseki, Etsuro Mori

“…For dialysis and AD, the classification of facilities and having a qualified dementia specialist were significant predictors, respectively. …”
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Anticholinergic burden and frailty in older inpatients: insights from analysis of admission and discharge medicines using four anticholinergic scales by Mohammed Adem Mohammed, Amy Hai Yan Chan, Nasir Wabe, Ayesha Ali, Louis Harris, Sianne West, Rhea Colaabavala, Justine Aw, Jeff Harrison

“…Multivariable logistic regression analysis was used to determine patient factors associated with anticholinergic burden. …”
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Associations between smoking and osteoporosis and all-cause mortality in participants from the United States: a cohort study by Xiaoqin Qu, Jingcheng Jiang, Qingshan Deng, Han Wang, Chao Zhang, Xiaoping Xu, Yong Yi, Lihua Qiu

“…Osteoporosis, characterized by reduced bone density and deterioration of bone tissue, has a global prevalence of 18.3%, with higher rates in women over the age of 50. …”
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Understanding health inequalities: how does socioeconomic deprivation impact on mortality for interstitial lung disease-related hospital admissions? by Laura White, Jonathan Shaw, Bethan Powell, Nyan May Kyi, Rebecca Huang, Emma Hardy, Dilanka Tilakaratne, Gareth Hughes, Conal Hayton, Trishala Raj, Georges Ng Man Kwong, Amy Gadoud, Timothy Gatheral

“…In a multivariate Cox-regression analysis of inpatient mortality, the DD hazard ratio was 1.069 but not statistically significant (p=0.064). …”
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Global trends in mortality related to pulmonary embolism: an epidemiological analysis of data from the World Health Organization mortality database from 2001 to 2023Research in con... by Hideharu Hagiya, Ko Harada, Yoshito Nishimura, Maki Yamamoto, Sayoko Nishimura, Michio Yamamoto, Takahiro Niimura, Yuka Osaki, Quynh Thi Vu, Mariko Fujii, Nanami Sako, Tatsuaki Takeda, Hirofumi Hamano, Yoshito Zamami, Toshihiro Koyama

“…The LOESS estimates of global age-standardised PE-related mortality rate (per 100,000) decreased from 3.49 (95% confidence interval [CI], 3.20–3.79) in 2001 to 2.42 (95% CI, 2.04–2.80) in 2023. …”
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