Literature DB >> 24594912

Big data in gastroenterology research.

Robert M Genta1, Amnon Sonnenberg2.   

Abstract

In epidemiological research, large datasets are essential to reliably capture small variations among comparative groups or detect new unsuspected associations. Although large databases of web-search information, social media, airline traffic and telephone records are already widely used to capture social trends, large databases in medical research are just emerging. With the universal use of electronic medical records underway, vast amounts of health-related information will become available for biomedical research. Accepting such new research tools-based on the analysis of large pre-existing datasets rather than hypothesis-driven, in-depth prospective study-will require a new mindset in clinical research, as data might be 'messy' and only associations, but not causality, can be detected. In spite of such limitations, the utilization of these new resources for medical research harbours great potential for advancing knowledge about digestive diseases.

Mesh:

Year:  2014        PMID: 24594912     DOI: 10.1038/nrgastro.2014.18

Source DB:  PubMed          Journal:  Nat Rev Gastroenterol Hepatol        ISSN: 1759-5045            Impact factor:   46.802


  9 in total

Review 1.  Software for enhanced video capsule endoscopy: challenges for essential progress.

Authors:  Dimitris K Iakovidis; Anastasios Koulaouzidis
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2015-02-17       Impact factor: 46.802

2.  Big data as the universal language for Barrett's esophagus.

Authors:  Robert M Genta
Journal:  World J Surg       Date:  2015-03       Impact factor: 3.352

3.  Liver cirrhosis and cancer: comparison of mortality.

Authors:  Wankyo Chung; Changik Jo; Woo Jin Chung; Dong Joon Kim
Journal:  Hepatol Int       Date:  2018-03-01       Impact factor: 6.047

4.  The Chronic Pancreatitis International Classification of Diseases, Ninth Revision, Clinical Modification Code 577.1 Is Inaccurate Compared With Criterion-Standard Clinical Diagnostic Scoring Systems.

Authors:  Naveen G Reddy; Sharad Nangia; Matthew J DiMagno
Journal:  Pancreas       Date:  2016-10       Impact factor: 3.327

5.  A Study on the Effect of Patient Characteristics, Geographical Utilization, and Patient Outcomes for Total Pancreatectomy Alone and Total Pancreatectomy With Islet Autotransplantation in Patients With Pancreatitis in the United States.

Authors:  Luis F Lara; Melena D Bellin; Emmanuel Ugbarugba; Jaimie D Nathan; Piotr Witkowski; Martin Wijkstrom; Jennifer L Steel; Kerrington D Smith; Vikesh K Singh; Sarah J Schwarzenberg; Timothy L Pruett; Bashoo Naziruddin; Leslie Long-Simpson; Varvara A Kirchner; Timothy B Gardner; Martin L Freeman; Ty B Dunn; Srinath Chinnakotla; Gregory J Beilman; David B Adams; Katherine A Morgan; Maisam A Abu-El-Haija; Syed Ahmad; Andrew M Posselt; Michael G Hughes; Darwin L Conwell
Journal:  Pancreas       Date:  2019-10       Impact factor: 3.327

6.  Acute and Severe Acute Pancreatitis and the Effect of Cannabis in States Before and After Legalization Compared With States Without Legalized Cannabis.

Authors:  Luis F Lara; Laura Nemer; Alice Hinton; Gokulakrishnan Balasubramanian; Darwin L Conwell; Somashekar Krishna
Journal:  Pancreas       Date:  2021 May-Jun 01       Impact factor: 3.327

7.  Cystic fibrosis patients on cystic fibrosis transmembrane conductance regulator modulators have a reduced incidence of cirrhosis.

Authors:  Mitchell L Ramsey; Michael R Wellner; Kyle Porter; Stephen E Kirkby; Susan S Li; Luis F Lara; Sean G Kelly; A James Hanje; Lindsay A Sobotka
Journal:  World J Hepatol       Date:  2022-02-27

Review 8.  Big Data Application in Biomedical Research and Health Care: A Literature Review.

Authors:  Jake Luo; Min Wu; Deepika Gopukumar; Yiqing Zhao
Journal:  Biomed Inform Insights       Date:  2016-01-19

9.  The Use of International Classification of Diseases Codes to Identify Patients with Pancreatitis: A Systematic Review and Meta-analysis of Diagnostic Accuracy Studies.

Authors:  Amy Y Xiao; Marianne L Tan; Maria N Plana; Dhiraj Yadav; Javier Zamora; Maxim S Petrov
Journal:  Clin Transl Gastroenterol       Date:  2018-10-04       Impact factor: 4.488

  9 in total

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