Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database. by Wangyu Ye, Yuan Ding, Meng Li, Zhihua Tian, Shaoli Wang, Zhen Liu

“…Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) database.<h4>Methods</h4>We searched the FAERS database for the term "autoimmune hepatitis" and extracted DI-ALH reports from the first quarter of 2004 to the first quarter of 2024. …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…A total of 8364225 reports were contained in the FAERS database, of which 5186 reports of cetuximab were identified as ‘primary suspected (PS)’ AEs. …”
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Collaborative Effort Towards a FAIR and OPEN Indo-Pacific Pollen Database (IPPD) by Annika V. Herbert, Simon G. Haberle, Henry Munack, Alexandru T. Codilean

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Real-world pharmacovigilance study of drug-induced autoimmune hepatitis from the FAERS database by Bu-kun Zhu, Si-ying Chen, Xiang Li, Shu-yun Huang, Zhan-yang Luo, Wei Zhang

“…Abstract This study aims to identify and evaluate the most common drugs associated with the risks of autoimmune hepatitis (AIH) using the FDA Adverse Event Reporting System (FAERS) database. Adverse drug events (ADEs) associated with drug-induced AIH (DI-AIH) were retrieved from the FAERS database (January 2004–June 2024). …”
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Emergency care utilization by refugee children compared to controls: A statewide database analysis. by Anna H Abrams, Jan Leonard, Sarah E Brewer, Janine Young, Kathleen M Adelgais

“…<h4>Objective</h4>To compare the proportion of ED claims and median level of service (LOS) between refugee children and general population controls in a statewide claims database.<h4>Methods</h4>We conducted a retrospective cohort study of medical claims for patients aged 0 to 18 years old in a statewide claims database from 2014-2019. …”
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sORFdb – a database for sORFs, small proteins, and small protein families in bacteria by Julian M. Hahnfeld, Oliver Schwengers, Lukas Jelonek, Sonja Diedrich, Franz Cemič, Alexander Goesmann

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Validation of Mortality Data Sources Compared to the National Death Index in the Healthcare Integrated Research Database by Jamal-Allial A, Sponholtz T, Vojjala SK, Paullin M, Papazian A, Eshete B, Mahmoudpour SH, Verpillat P, Beachler DC

“…At the same time, positive predictive value (PPV) was 93.4% (95% CI = 93.1%, 93.7%), negative predictive value (NPV) was 82.3% (95% CI = 81.7%, 82.9%), and when comparing each individual source, each had a high PPV but limited sensitivity.Conclusion: The composite algorithm was demonstrated to be a sensitive and precise measure of mortality, while individual database sources were accurate but had limited sensitivity.Plain Language Summary: What is known on this topic:The National Death Index (NDI) is the gold standard for ascertaining death in the US, with several limitations, such as time lag and population restrictions.What this study adds:A composite mortality algorithm of several sources of death was shown to be a sensitive and precise in death ascertainment compared to the NDI.Individual mortality sources, such as the Social Security Death Master File and online obituaries, had limited sensitivity on their own compared to the NDI.Keywords: mortality, validation, National Death Index, real word evidence, obituary, claims…”
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The incidence of eating disorders in the UK in 2000–2009: findings from the General Practice Research Database by Irene Petersen, Nadia Micali, Janet L Treasure, Katrina W Hagberg

“…Data were obtained from a primary care register, the General Practice Research Database, which contains anonymised records representing about 5% of the UK population.Participants All patients with a first-time diagnosis of AN, BN and EDNOS were identified.Primary outcome Annual crude and age-standardised incidence rates were calculated.Results A total of 9072 patients with a first-time diagnosis of an ED were identified. …”
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Use of Sildenafil in Pulmonary Arterial Hypertension: Findings from a U.S. Healthcare Claims Database by Ariel Berger, John Edelsberg, Simon Teal, Marko A. Mychaskiw, Gerry Oster

“…**Methods:** Using a large U.S. healthcare claims database, we identified all patients with evidence of PAH (International Classification of Disease, 9th Revision, Clinical Modification [ICD-9-CM] diagnosis codes 416.0, 416.8) and receipt of sildenafil between January 1, 2005 and September 30, 2008. …”
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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

“…It provides a visual representation of the processes recorded in various health system databases and allows for the visualization of the different trajectories of healthcare utilization.…”
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Fluid balance and clinical outcomes in patients with aortic dissection: a retrospective case-control study based on ICU databases by Tao Chen, Peng Qiu, Yixuan Li, Xinwu Lu, Zhaoyu Wu, Zhijue Xu, Hongji Pu, Jiahao Lei, Zhuojing Zhang, Xinrui Yang, Ruihua Wang

“…This paper explores the role of fluid management in the clinical care of AD patients, which has been unclear despite the substantial existing research that has been conducted on the treatment of AD.Design A retrospective case-control study using data for AD patients from public databases.Setting Two public intensive care unit (ICU) databases with hospital courses from the USA, Medical Information Mart for Intensive Care (MIMIC)-IV critical care dataset and the eICU Collaborative Research Database, with data from 2008 to 2019.Participants A total of 751 adult AD patients with detailed fluid management records from two databases were included.Interventions The mean 24-hour intake and output were calculated by dividing the total amount of intake and output by the number of days in the ICU, respectively. …”
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Safety profiles of sevoflurane in pediatric patients: a real-world pharmacovigilance assessment based on the FAERS database by Chuang Yang, Bangjian Deng, Qiang Wen, Pei Guo, Xiang Liu, Chen Wang

“…We also compared the adverse events related to sevoflurane between pediatric and adult populations.ResultsThe FAERS database yielded 21,838,627 adverse event reports for children, with 474 involving sevoflurane as the primary suspect. …”
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Real-world enrollment for a prospective clinico-genomic database using a pragmatic technology-enabled platform by Alexia Exarchos, Ariel B. Bourla, Maneet Kaur, Katja Schulze, Sophia Maund, Yi Cao, Yihua Zhao, Elizabeth H. Williams, Sarah C. Gaffey, Richard Zuniga, Shaily Lakhanpal, Vladan Antic, Michelle Doral, Johanna Sy, Neal J. Meropol, Anne C. Chiang

“…The objective was to evaluate the feasibility of a pragmatic, technology-enabled platform at community-based research sites for development of a prospective clinico-genomic database supported by centralized electronic health record (EHR)–based patient ascertainment and data processing. …”
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Clinical and Cost Burden of Primary Sjögren’s Syndrome: Descriptive Analysis Using a US Administrative Claims Database by Sue Perera, Liyuan Ma, Raj Punwaney, Sulabha Ramachandran

“…**Methods:** This was a retrospective cohort study (HO-15-16077) conducted in the US Truven MarketScan Commercial database. We report descriptive data from employees and their families, as covered by employer-sponsored medical insurance. …”
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Evaluating the association of depressive symptoms on serum folate and erythrocyte folate levels based on the 2017–2020 NHANES database by Yunhong Yang, Huaqian Qi, Jiahao Zhang, Jie Jia, Yunsong Yang, Hong Zhao

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HCNetlas: A reference database of human cell type-specific gene networks to aid disease genetic analyses. by Jiwon Yu, Junha Cha, Geon Koh, Insuk Lee

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Problems in publication of results of scientific research, their visibility and possible frauds by Živković Živan

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L-shaped association of body mass index with prognosis in individuals with sepsis: a multicenter cohort study by Kunping Cui, Xiangnan Teng, Wei liu, Xiaoxiao Zhao, Shanling Xu, Lang Bai

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