Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases by Jie Zheng, George Davey Smith, Tom R Gaunt, Maria K Sobczyk

“…Objective To scope the potential for (semi)-automated triangulation of Mendelian randomisation (MR) and randomised controlled trials (RCTs) evidence since the two methods have distinct assumptions that make comparisons between their results invaluable.Methods We mined ClinicalTrials.Gov, PubMed and EpigraphDB databases and carried out a series of 26 manual literature comparisons among 54 MR and 77 RCT publications.Results We found that only 13% of completed RCTs identified in ClinicalTrials.Gov submitted their results to the database. …”
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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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Retrospective database analysis on the demographics and resource utilization of patients with Parkinson’s disease in Quebec, Canada by Véronique Baribeau, Shawn Mohammed, Amnah Awan, Diana Parison, Jean Lachaine

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Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community by Sang-Cheol Park, Sungho Won

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FoodMicroDB: A microbiome database for composition and time‐series research in food by Yahui Li, Hujie Lyu, Haifei Yang, Zhicheng Ju, Chuang Ma, Huiyu Hou, Yao Wang, Yuanping Zhou, Yunyun Gao, Junbo Yang, Shanshan Xu, Defeng Bai, Hao Luo, Salsabeel Yousuf, Tianyuan Zhang, Jiani Xun, Meiyin Zeng, Heyuan Qi, Tong Chen, Yong‐Xin Liu

Subjects: “…database…”
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COVID-19 and pediatric out-of-hospital cardiac arrest using U.S. registry database by Christopher Schmitt, Gary Beasley, Karine Guerrier, Jennifer Kramer, Maryam Y. Naim, Heather Griffis, Bryan McNally, Paul S. Chan, Rabab Al-Araji, Joseph Rossano

“…Background: Out-of-hospital cardiac arrests (OHCA) increased in the adult population during the COVID pandemic.1,2,3,4,5,6,7,8 Objectives: We aimed to determine if OHCAs increased in the pediatric population during the COVID pandemic and whether the pandemic exacerbated pre-existing racial and socio-economic disparities.13,17,18,19,20 Methods: Utilizing data from 2015 to 2020 from the Cardiac Arrest Registry to Enhance Survival (CARES) database, 13,513 pediatric OHCAs were analyzed. Age categories included infants (0–<1 year), children (1–12 years) and adolescents (13–18 years). …”
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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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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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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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The Validity of Diagnosing Chronic Obstructive Pulmonary Disease from a Large Administrative Database by Yves Lacasse, Victor M Montori, Claude Lanthier, François Maltis

“…BACKGROUND: Health authorities create and maintain administrative databases. Despite the potential advantages of these databases, the validity of the information they include must be considered.…”
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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“… The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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ExoMolHR: A Relational Database of Empirical High-resolution Molecular Spectra by Jingxin Zhang, Christian Hill, Jonathan Tennyson, Sergei N. Yurchenko

“…Cross sections can be calculated using the Python program PyExoCross. The ExoMolHR database currently provides 24,307,135 spectral lines for 33 molecules and 58 isotopologues; these numbers will increase as the ExoMol database is updated.…”
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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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Assessment of Masonry-Infilled Steel Frames Using Existing Experimental Tests Database in Comparison to Standards by Ciprian Bratu, Dario Šokić, Naida Ademović, Ercan Isik, Borko Bulajić, Dorin Radu, Marijana Hadzima-Nyarko

“…The primary aim of this paper was to compile a database of experiments involving frames with different types of infill masonry. …”
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A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria by Peter Lasch, Wolfgang Beyer, Alejandra Bosch, Rainer Borriss, Michal Drevinek, Susann Dupke, Monika Ehling-Schulz, Xuewen Gao, Roland Grunow, Daniela Jacob, Silke R. Klee, Armand Paauw, Jörg Rau, Andy Schneider, Holger C. Scholz, Maren Stämmler, Le Thi Thanh Tam, Herbert Tomaso, Guido Werner, Joerg Doellinger

“…The technique is increasingly applied by clinical microbiological laboratories that use commercially available complete solutions, including spectra databases covering clinically relevant bacteria. Such databases are validated for clinical, or research applications, but are often less comprehensive concerning highly pathogenic bacteria (HPB). …”
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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases by Md. Rezaul Karim, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi

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On identifying name equivalences in digital libraries. Name equivalence, Surname matching, Author identification, Databases by Dror G. Feitelson

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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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Fair and Tender Data. The FAIRness of Four Databases With Historical Individual Life Course Data Tested by Lex Heerma van Voss

Subjects: “…Historical life course databases…”
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Understanding hospital length of stay in trauma laparotomy patients: a National Trauma Database Study by Jeremy Grushka, Kosar Khwaja, Hayaki Uchino, Evan G Wong

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