Black posterior vitreous detachment: A 10-year historical cohort of pigmented uveal tumors by Vicktoria Vishnevskia-Dai, Hila Goldberg, Michael Ostrovsky, Ofira Zloto, Rachel Shemesh

“…Participants: Eight patients who were diagnosed with pigmentary PVD associated with a uveal tumor or optic nerve pigmented tumors in a tertiary medical center. Methods: Demographics, clinical data, type of uveal lesion, treatment, multimodal images, and follow-up information were retrieved.The main outcome measures were tumor recurrence, vitreous spread, and the patient's prognosis. …”
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Medial elbow approaches for coronoid fractures: risk to the ulnar nerve by Olawale A. Sogbein, MD, MSc, FRCSC, Shav Rupasinghe, MBChB, FRACS, Yibo Li, MD, FRCSC, Yousif Atwan, MD, MSc, FRCSC, Armin Badre, MD, MSc, FRCSC, Thomas Goetz, MD, FRCSC, Graham J.W. King, MD, MSc, FRCSC

“…Patient charts and perioperative imaging were reviewed. Patient demographics, fracture classification, associated injuries, surgical approaches, ulnar nerve management, and postoperative complications were recorded. …”
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Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry by Jae Myeong Kang, Manchumad Manjavong, Chengshi Jin, Adam Diaz, Miriam T. Ashford, Joseph Eichenbaum, Emily Thorp, Elizabeth Wragg, Kenton H. Zavitz, Francesca Cormack, Anna Aaronson, R. Scott Mackin, Rachana Tank, Bernard Landavazo, Erika Cavallone, Diana Truran, Sarah Tomaszewski Farias, Michael W. Weiner, Rachel L. Nosheny

“…Both Self-ECog positive (estimate = -0.01, p < 0.001, R²m = 0.56) and Self-ECog consistent (estimate=-0.01, p = 0.002, R²m = 0.56) were associated with longitudinal change in PAL FAMS after adjusting demographics and clinical confounders. Those who were Self-ECog total (Odds ratio [95% confidence interval] = 1.390 [1.121–1.708]) and SP-ECog consistent (2.417 [1.591–3.655]) had higher probability of being decliners based on PAL FAMS. …”
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Pancreaticoduodenectomy in trauma patients with grade IV–V duodenal or pancreatic injuries: a post hoc analysis of an EAST multicenter trial by Jeffry Nahmias, Daniel N Holena, Bellal Joseph, Martin Schreiber, Lisa M Kodadek, Mayur Narayan, Grace Chang, Joe Patton, Abid Khan, Mark Seamon, Jessica H Beard, Michelle T Bover Manderski, Michael A Vella, Ryan Peter Dumas, Haytham Kaafarani, Alison A Smith, Rachel Leah Choron, Christopher Bargoud, Amanda L Teichman, Francesk Mulita, Christine T Trankiem, Hashim Ahmed, Aaron Anderson, Odessa Pulido, Caleb Mentzer, Jane Keating, Mira Ghneim, Reynold Henry, Dane R Scantling, Andrew Benjamin, Christopher W Foote, Carlos H Palacio, Randi N Smith, Meghan Jonikas, Dias Argandykov, Jason D Sciarretta, Joshua P Hazelton, Pascal Udekwu, Jordan Michael Kirsch, Charoo Piplani, Julia Kuzinar, Dustin Hanos, Iman N Afif, Navpreet Kaur Dhillon, Ashling Zhang, Rebekah Devasahayam, Oliver Gunter, Brandi Sun, Chloe S Cao, Jessica K Reynolds, Lauren A Hilt, Karla Echeverria-Rosario, Nathaniel S Fung, Caitlin A Fitzgerald, Jeremy H Levin, JaeHee Yoon, Jacqueline Blank, Christopher J McLaughlin, Rami Al-Aref, Daniel S Howard, Kate Dellonte, Brent Hopkins, Chloe Shell, Evan G Wong, Howard Lieberman, Walter A Ramsey, Collin H Stewart, Claudia Alvarez, John D Berne, Ivan Puente, Ilya Rakitin, Lindsey Perea, Jason Wade, Laura K Mann, Vasileios Mousafeiris, Shari Reid-Gruner, Erica Sais, Lilamarie Moko

“…There was no difference in demographics, hemodynamics, or blood product requirement on presentation between PD (n=32) vs non-PD (n=63). …”
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Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

“…Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. …”
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Anticholinergic burden and behavioral and psychological symptoms in older patients with cognitive impairment by Sabrina Pistorio, Gianluca Scotto di Tella, Vittoria Canzanella, Raffaella Merenda, Gianluigi Cuomo, Paola Iacotucci, Vincenzo Carnovale, Leonardo Bencivenga, Maria Vargas, Annalaura Manes, Mauro Cataldi, Giuseppe Rengo, Giuseppe Rengo, Michela Zanetti, Grazia Daniela Femminella, Grazia Daniela Femminella

“…No statistically significant differences were found between the two groups in terms of demographics (age, sex) and anamnestic variables (education, marital status, family history of dementia, hypertension, diabetes, smoking, dyslipidemia, atrial fibrillation, coronary heart disease and use of alcohol). …”
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Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia by Melak Jejaw, Kaleb Assegid Demissie, Misganaw Guadie Tiruneh, Kaleab Mesfin Abera, Yawkal Tsega, Abel Endawkie, Wubshet D. Negash, Amare Mesfin Workie, Lamrot Yohannes, Mihret Getnet, Nigusu Worku, Adina Yeshambel Belay, Lakew Asmare, Hiwot Tadesse Alemu, Demiss Mulatu Geberu, Asebe Hagos

“…Maternal occupation, household size, media exposure, parity, women wealth, intention to use contraceptive, region and community level wealth were factors statistically associated with unintended pregnancy. Hence, demographer and public health practitioners has to give great emphasis on designing an intervention with implementation strategies to increase accessibility of media for reproductive-age women’s and improve women financial capacity, and strengthen maternal health services. …”
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Acceptability and efficacy of the culturally adapted problem management plus intervention for people with disability in Pakistan: a pilot cluster randomized controlled trial by Basharat Hussain, Basharat Hussain, Muhammad Tahir Khalily, Muhammad Tahir Khalily, Ahmed Waqas, Atif Rahman, Ioannis Angelakis, Anum Nisar, Sabir Zaman, Tanveer Akhtar

“…Qualitative feedback was gathered at the end of the study to assess the intervention’s acceptability among the participants.ResultsThe study achieved a 100% retention rate. Baseline demographics showed a majority male participation with a variety of disabilities predominantly lower limb. …”
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Analysis of acute non-pharmaceutical toxic exposures in children: a 5-year retrospective study by Yanning Qu, Rui Tang, Zhuyan Duan, Mengyi Sheng, Hui Wang, Shuang Liu, Jiao Li, Linlin Guo, Linying Guo, Si Zheng, Si Zheng

“…Clinical information including demographics, exposure details, clinical manifestation, laboratory results, treatments, and outcomes were extracted from electronic medical records. …”
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Research involvement among undergraduate medical students in Bangladesh: a multicenter cross-sectional study by Mohammad Jahid Hasan, Salwa Islam, Hasnat Sujon, Fahmida Islam Chowdhury, Muna Islam, Mostak Ahmed, Mahbuba Shabnam, Mahbub Mayukh Rishad, Mohammad Nurunnabi, Md Marufur Rahman, Jannatul Fardous, Mir Susmita Zaman, Mir Paramita Zaman, Mir Ahsan Ali, Md Rabiual Awal, Taha Choudhury, Ahmed Ullah Shuvo, Sabrina Sultana, Tanjina Tabassum, Monjur Rahman, Anindita Das Barshan, Tamanna Tabassum, Md. Abdur Rafi, Sharmeen Yasmeen

“…Methods A multi-center cross-sectional study involving 2864 medical students from both public and private medical colleges was conducted between June and December 2023. Data on demographics, research involvement, participation in research training, future career aspirations in research, and obstacles encountered by students were collected. …”
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Inter-rater reliability and prognostic value of baseline Radiographic Assessment of Lung Edema (RALE) scores in observational cohort studies of inpatients with COVID-19 by Andrew I Kim, William Bain, Alison Morris, Barbara Methe, Bryan J McVerry, Georgios D Kitsios, Daniel Kotok, Janet S Lee, Nameer Al-Yousif, Christine E Girard, Jana J Jacobs, Konstantin Golubykh, Hafiz Qurashi, Michael Lu, Saketram Komanduri, Anatoliy Korzhuk, Halimat O Lawal, Nicholas Abourizk, Caitlin Schaefer, Kevin J Mitchell, Catherine M Dietz, Ellen K Hughes, Clara S Brandt, Georgia M Fitzgerald, Robin Joyce, Asmaa S Chaudhry, Jose D Rivera, Shruti Shettigar, Allen Lavina, Samantha R Gillenwater, Anas Hadeh, Faraaz A Shah, Matthew Bittner, Niall Prendergast, John Evankovich, Navitha Ramesh, Cathy Kessinger

“…Objectives To reliably quantify the radiographic severity of COVID-19 pneumonia with the Radiographic Assessment of Lung Edema (RALE) score on clinical chest X-rays among inpatients and examine the prognostic value of baseline RALE scores on COVID-19 clinical outcomes.Setting Hospitalised patients with COVID-19 in dedicated wards and intensive care units from two different hospital systems.Participants 425 patients with COVID-19 in a discovery data set and 415 patients in a validation data set.Primary and secondary outcomes We measured inter-rater reliability for RALE score annotations by different reviewers and examined for associations of consensus RALE scores with the level of respiratory support, demographics, physiologic variables, applied therapies, plasma host–response biomarkers, SARS-CoV-2 RNA load and clinical outcomes.Results Inter-rater agreement for RALE scores improved from fair to excellent following reviewer training and feedback (intraclass correlation coefficient of 0.85 vs 0.93, respectively). …”
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Knowledge, Attitude, and Practice Towards Responsible Self-Medication Among Pharmacy Students: A Web-Based Cross-Sectional Survey in Uganda by Brian B, Goruntla N, Bommireddy BR, Mopuri BM, Easwaran V, Mantargi MJS, Thammisetty DP, Bukke SPN, Yadesa TM, Ayogu EE

“…A pre-validated questionnaire was used to obtain socio-demographics, self-medication practices, knowledge, attitudes, and practices about responsible self-medication. …”
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Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study by Natalia K Rojas, Sam Martin, Mario Cortina-Borja, Roz Shafran, Lana Fox-Smith, Terence Stephenson, Brian C F Ching, Anaïs d'Oelsnitz, Tom Norris, Yue Xu, Kelsey McOwat, Emma Dalrymple, Isobel Heyman, Tamsin Ford, Trudie Chalder, Ruth Simmons, Snehal M Pinto Pereira

“…There were no observed associations between sentiment and all other examined demographics. The results were broadly similar when reweighted to the general population of children and young people in England: 78.52% (negative), 13.23% (positive), and 8.24% (neutral). …”
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Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…Eight machine learning techniques were employed to construct predictive models, including C5.0, linear discriminant analysis (LDA), least absolute shrinkage and selection operator (LASSO), k-nearest neighbour (KNN), gradient boosting decision tree (GBDT), support vector machine (SVM), generalised linear model (GLM) and naive Bayes (NB), utilising variables such as medical history, demographics, clinical signs, and laboratory test results. …”
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Correlates of and changes in aerobic physical activity and strength training before and after the onset of COVID-19 pandemic in the UK: findings from the HEBECO study by Lion Shahab, Abigail Fisher, Phillippa Lally, Aleksandra Herbeć, Dimitra Kale, Verena Schneider

“…Objectives Understanding changes in moderate to vigorous aerobic physical activity (MVPA) and muscle-strengthening activity (MSA) at the start of the COVID-19 pandemic and their correlates (socio-demographics, health characteristics, living and exercise conditions and pre-pandemic MVPA/MSA) can inform interventions.Design A cross-sectional analysis of retrospective and concurrent data on MVPA/MSA.Setting An online survey in the UK.Participants 2657 adults (weighted n=2442, 53.6% women) participating in the baseline survey (29 April 2020–14 June 2020) of the HEalth BEhaviours during the COVID-19 pandemic (HEBECO) study.Primary and secondary outcome measures Meeting WHO-recommended levels for MVPA/MSA/both (vs meeting neither) during the first lockdown and changes in MVPA/MSA from before to since the COVID-19 pandemic following stratification for pre-pandemic MVPA/MSA.Results A third of adults maintained (30.4%), decreased (36.2%) or increased (33.4%) MVPA. …”
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Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms by Zhang X, Xiong Y, Liu H, Liu Q, Chen S

“…Clinical information, including demographics, comorbidities, vital signs, critical illness scores and laboratory tests was retrospectively collected. …”
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Users’ Perspectives of Direct-to-Consumer Telemedicine Services: Survey Study by Kate Churruca, Darran Foo, Andrew Turner, Emily Crameri, Maree Saba, Samantha Spanos, Matthew Vickers, Jeffrey Braithwaite, Louise A Ellis

“…MethodsA web-based cross-sectional survey including questions on demographics, published and validated scales, and author-developed closed- and open-response questions was administered via REDCap in 2023 to Australian adults accessing DTC telemedicine services. …”
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Epidemiology, Risk Factors, and Predictors of Disability in a Cohort of Jordanian Patients with the First Ischemic Stroke by Majdi Al Qawasmeh, Belal Aldabbour, Aiman Momani, Deema Obiedat, Kefah Alhayek, Raid Kofahi, Ahmed Yassin, Khalid El-Salem

“…Analysis of the sample demographics and descriptive statistics were done, including frequencies of prevalence of independent variables (risk factors) and frequencies of stroke and etiology work-up. …”
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Inflammatory Markers and Severity in COVID-19 Patients with Clostridioides Difficile Co-Infection: A Retrospective Analysis Including Subgroups with Diabetes, Cancer, and Elderly by Teodor Cerbulescu, Flavia Ignuta, Uma Shailendri Rayudu, Maliha Afra, Ovidiu Rosca, Adrian Vlad, Stana Loredana

“…We collected baseline demographics, comorbidities, and laboratory parameters including C-reactive protein (CRP), Interleukin-6 (IL-6), ferritin, neutrophil and lymphocyte counts, albumin, platelet counts, and calculated indices (C-reactive protein to Albumin Ratio (CAR), Neutrophil-to-Lymphocyte Ratio (NLR), Prognostic Nutritional Index (PNI), SII). …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Propensity score matching was adjusted for demographics, and the Boruta algorithm identified key predictors. …”
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