Prevalence of non-alcoholic fatty liver disease and its association with cardiovascular risk factors (data from Russian epidemiological studies) by O. M. Drapkina, S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, M. B. Kotova, S. A. Maksimov, G. A. Muromtseva, O. A. Litinskaya, M. S. Pokrovskaya, E. M. Filichkina, A. G. Soplenkova, L. I. Gomanova, Yu. V. Doludin, I. A. Efimova, A. L. Borisova, N. S. Karamnova, O. B. Shvabskaya, I. A. Viktorova, N. N. Prishchepa, A. N. Redko, S. S. Yakushin, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radzhabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, Yu. E. Spiridonova, N. V. Savvina, E. A. Naumova, V. S. Yudin, A. A. Keskinov, D. A. Kashtanova, S. M. Yudin, A. B. Kontsevaya

“…The database from the ESSE-RF2 and ESSE-RF3 epidemiological studies was used, including data from surveys of population aged 35-64 years in 18 Russian regions (n=21204). …”
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rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasets. by Alexander Pate, Rosa Parisi, Evangelos Kontopantelis, Matthew Sperrin

“…Raw CPRD data is provided in thousands of.txt files, making querying this data cumbersome and inefficient. rcprd saves the relevant information into an SQLite database stored on the hard drive which can then be queried efficiently to extract required information about individuals. rcprd follows a four-stage process: 1) Definition of a cohort, 2) Read in medical/prescription data and save into an SQLite database, 3) Query this SQLite database for specific codes and tests to create variables for each individual in the cohort, 4) Combine extracted variables into a dataset ready for statistical analysis. …”
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Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data by Brinnae Bent, Maria Henriquez, Jessilyn Dunn

“…<italic>Results:</italic> Here we present an open-source software toolbox called cgmquantify, which contains 25 functions calculating 28 clinically validated metrics of glucose and glycemic variability, as well as tools for visualizing longitudinal CGM data. Detailed documentation facilitates modification of existing code by the community for customization of input data and visualizations. …”
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Establishing a National Maternal Morbidity Outcome Indicator in England: A Population-Based Study Using Routine Hospital Data. by Manisha Nair, Jennnifer J Kurinczuk, Marian Knight

“…Many calls have been made to use routinely available hospital administration data to monitor the quality of maternity care. We investigated 1) the feasibility of developing an English Maternal Morbidity Outcome Indicator (EMMOI) by reproducing an Australian indicator using routinely available hospital data, 2) the impact of modifications to the indicator to address potential data quality issues, 3) the reliability of the indicator.…”
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Assessing the association between drug use and ischaemic colitis: a retrospective pharmacovigilance study using FDA Adverse Event data by Qing Li, Xiushan Dong, Jie An, Kaiqi Wu, Teng Wu, Pengyang Xu, Chuanli Yang, Yunhe Fan

“…This study aimed to recognise the top drugs associated with the risk of ischaemic colitis based on the FDA Adverse Event Reporting System (FAERS) database.Design A cross-sectional design.Setting All data retrieved from the FAERS database from the first quarter of 2004 to the fourth quarter of 2023.Participants A total of 5664 drug-induced ischaemic colitis AEs eligible for screening.Primary and secondary outcome measures The Medical Dictionary for Regulatory Activities was used to identify ischaemic colitis (code: 10009895) cases. …”
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Global fisheries sustainability performance data collected from pre-assessments against the Marine Stewardship Council’s fisheries standardZenodo by Jennifer Rasal, Michael C. Melnychuk, Sophie Ferber, Amanda Lejbowicz, Carlos Montero-Castaño, Catherine Longo

“…Fields were included to link to other available global databases, including MSC full assessments, FIP databases, and global wild-capture production data assembled by FAO, facilitating wider application to global fisheries analyses.…”
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Concurrent prescriptions for opioids and benzodiazepines and risk of opioid overdose: protocol for a retrospective cohort study using linked administrative data by Kristian B Filion, Robyn Tamblyn, David L Buckeridge, Erin Y Liu

“…Opioid overdose will be measured using diagnostic codes documented in the hospital discharge abstract database, physician billing claims from emergency department visits and death records. …”
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Regional Deprivation and Non-Cancer Related Computed Tomography Use in Pediatric Patients in Germany: Cross-Sectional Analysis of Cohort Data. by Steffen Dreger, Lucian Krille, Werner Maier, Roman Pokora, Maria Blettner, Hajo Zeeb

“…The aim was to investigate the association between area-level socio-economic status and variation in CT examination practice for pediatric patients in Germany.<h4>Methods</h4>Data from Radiology Information Systems for children aged 0 to < 15 years without cancer who had at least one CT examination between 2001 and 2010 were extracted in 20 hospitals across Germany. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Epidemiology of Barbell Weightlifting‐Related Head and Neck Injuries in the United States: A 10‐Year Analysis of National Injury Data by Shiven Sharma, Luke Reardon, Li‐Xing Man, Marita S. Teng, Michele M. Carr

“…Setting National database. Methods We used data from the National Electronic Injury Surveillance System (NEISS) from 2014 to 2023. …”
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Comparison of identifiable and non-identifiable data linkage: health technology assessment of MitraClip using registry, administrative and mortality datasets by Hannah Patrick, Helen Cole, Kim Keltie, Paola Cognigni, Sam Gross, Samuel Urwin, Julie Burn, Lee Berry, Andrew Sims

“…This study aimed to determine longitudinal patient outcomes by linking to routine datasets: Hospital Episode Statistics (HES) Admitted Patient Care (APC) and Office of National Statistics.Methods Two methods of linkage were compared, using identifiable (NHS number, date of birth, postcode, gender) and non-identifiable data (hospital trust, age in years, admission, discharge and operation dates, operation and diagnosis codes). …”
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Three-dimensional analysis of facial morphology in nine-year-old children with different unilateral orofacial clefts compared to normative data by Marjolein Crins-de Koning, Robin Bruggink, Marloes Nienhuijs, Till Wagner, Ewald M. Bronkhorst, Edwin M. Ongkosuwito

“…Aim To compare three-dimensional (3D) facial morphology of various unilateral cleft subphenotypes at 9-years of age to normative data using a general face template and automatic landmarking. …”
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Burn injuries among paediatric patients treated at Mexican public hospitals: a retrospective cohort analysis of nationwide hospitalisation data by Taylor Wurdeman, John G Meara, Tanujit Dey, Tarsicio Uribe-Leitz, Jose Antonio Garcia Garcia, Diana D. Del Valle, Kevin Ashi, Jacques Bistre Varon, Juan Carlos Angulo-Lozano, Jaime Shalkow-Klincovstein

“…Introduction Paediatric burns are a leading cause of mortality among Mexican children, yet comprehensive national data are scarce. This retrospective cohort study provides an epidemiological analysis of paediatric burn injuries in Mexico using a nationwide hospitalisation database.Methods We conducted a retrospective cohort analysis of all paediatric burn patients aged 0–18 years (ICD-10 codes: T200–T329) who were hospitalised in the Mexican public sector using the Ministry of Health’s hospital discharge database for 2016, 2018 and 2020. …”
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PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data by Mousa Moradi, Saber Kazeminasab Hashemabad, Daniel M. Vu, Allison R. Soneru, Asahi Fujita, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast

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Integration of a medication reminder app into the RABBIT-SpA disease registry to record patient data on daily drug usage by Regierer, Anne C., Reich, Andreas, Weiß, Anja, Feuchtenberger, Martin, Zinke, Silke, Lorenz, Hanns-Martin, Syrbe, Uta, Böhm, Peter, Wiegand, Julius, Strangfeld, Anja, Poddubnyy, Denis, Baraliakos, Xenofon

“…Results: The integration process was successfully implemented. Personalized QR codes were generated from the registry documentation system, enabling patients to download the study version of the MyTherapy app and link their data using a second pseudonym. …”
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Economic burden of breast cancer in Chinese women: analysis o from 2016 to 2018 using national health insurance data by Yu Qi, Yaqun Fu, Yumeng Lv, Ye Zhang, Xia Wei, Li Sun, Bin Cui, Ranjit Manchanda, Rosa Legood, Li Yang

“…This study aimed to analyze the costs associated with female breast cancer patients in China using data from the China Health Insurance Research Association (CHIRA) and to explore the factors influencing costs. …”
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Estimated glomerular filtration rate, albuminuria, and risk of infection: a collaborative meta-analysis of individual participant dataResearch in context by Junichi Ishigami, Aditya Surapaneni, Kunihiro Matsushita, Josef Coresh, Morgan E. Grams, Shoshana H. Ballew, Yingying Sang, Benedicte Stengel, Johan Ärnlöv, Samira Bell, Juan-Jesus Carrero, Alexander R. Chang, Elizabeth L. Ciemins, Richard Haynes, Joachim Ix, Fruzsina Kotsis, Jennifer S. Lees, Krutika Pandit, Panduranga Rao, Cassianne Robinson-Cohen, Natalia Alencar de Pinho, Keiichi Sumida, Josef Coresh, Yingying Sang, Kunihiro Matsushita, Morgan Grams, Yejin Mok, Cassianne Robinson-Cohen, Elvis Akwo, Jing He, Natalia Alencar de Pinho, Marie Metzger, Bénédicte Stengel, Luc Frimat, Christian Combe, Nishigandha Pradhan, Giselle Sosa, Dawei Xie, Markus P. Schneider, Anna Köttgen, Heike Meiselbach, Kai-Uwe Eckardt, Ulla Schultheiss, Jamie Green, H. Lester Kirchner, Gurmukteshwar Singh, Samira Bell, Shona Livingstone, Colin Palmer, Ewan Pearson, Michael Shlipak, Ronit Katz, Morgan E. Grams, Krutika Pandit, Aditya Surapaneni, Carina Flaherty, Elizabeth Ciemins, Jeff Mohl, Csaba Kovesdy, Keiichi Sumida, Prabin Shrestha, William Herrington, Natalie Staplin, Richard Haynes, Martin J. Landray, Colin Baigent, Jennifer Lees, Patrick Mark, Johan Ärnlöv, Anders Larsson, Vilmantas Giedraitis, Shoshana H. Ballew, Juan-Jesus Carrero, Ron T. Gansevoort, Morgan E. Grams, Andrew S. Levey, Kunihiro Matsushita, Dorothea Nitsch, Michael G. Shlipak, Angela Yee-Moon Wang, Shoshana H. Ballew, Carina Flaherty, Morgan E. Grams, Kunihiro Matsushita, Yingying Sang, Aditya Surapaneni

“…Methods: We conducted a meta-analysis of individual participant data including 1,246,912 individuals across 47 cohorts in the CKD Prognosis Consortium, with information on estimated glomerular filtration rate based on serum creatinine (eGFRcr) and urinary albuminuria (ACR) (or proteinuria converted to ACR), to examine the association of eGFR and ACR with the risk of hospitalization with infection. …”
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The NANOGrav 12.5 yr Data Set: Probing Interstellar Turbulence and Precision Pulsar Timing with PSR J1903+0327 by Abra Geiger, James M. Cordes, Michael T. Lam, Stella Koch Ocker, Shami Chatterjee, Zaven Arzoumanian, Ava L. Battaglia, Harsha Blumer, Paul R. Brook, Olivia A. Combs, H. Thankful Cromartie, Megan E. DeCesar, Paul B. Demorest, Timothy Dolch, Justin A. Ellis, Robert D. Ferdman, Elizabeth C. Ferrara, Emmanuel Fonseca, Nate Garver-Daniels, Peter A. Gentile, Deborah C. Good, Megan L. Jones, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Maura A. McLaughlin, Cherry Ng, David J. Nice, Timothy T. Pennucci, Nihan S. Pol, Scott M. Ransom, Renée Spiewak, Ingrid H. Stairs, Kevin Stovall, Joseph K. Swiggum, Sarah J. Vigeland

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Absolute Rate Coefficients for Dielectronic Recombination of Sodium-like Iron Ions: Experiment and Theory by H. K. Huang, W. Q. Wen, Z. K. Huang, Y. Yuan, C. Y. Zhang, R. Si, S. J. Wu, C. Y. Chen, S. Fritzsche, S. Schippers, H. B. Wang, S. X. Wang, C. Liu, W. L. Ma, X. P. Zhou, M. Y. Wan, L. J. Mao, J. Li, M. T. Tang, K. Y. Yan, Y. B. Zhou, Y. J. Yuan, J. C. Yang, S. F. Zhang, L. F. Zhu, X. Ma

“…Schippers et al. ( 2010 ), as well as with the theoretical data of M. F. Gu ( 2004 ) and Z. Altun et al.; however, the earlier theoretical data from M. …”
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Teaching Modeling in Introductory Statistics: A Comparison of Formula and Tidyverse Syntaxes by Amelia McNamara

“…Analysis of YouTube and RStudio Cloud data shows interesting distinctions. The formula section appeared to watch a larger proportion of pre-lab videos, but spend less time computing. …”
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