Literature DB >> 25392827

Big data and clinical research: focusing on the area of critical care medicine in mainland China.

Zhongheng Zhang1.   

Abstract

Big data has long been found its way into clinical practice since the advent of information technology era. Medical records and follow-up data can be more efficiently stored and extracted with information technology. Immediately after admission a patient immediately produces a large amount of data including laboratory findings, medications, fluid balance, progressing notes and imaging findings. Clinicians and clinical investigators should make every effort to make full use of the big data that is being continuously generated by electronic medical record (EMR) system and other healthcare databases. At this stage, more training courses on data management and statistical analysis are required before clinicians and clinical investigators can handle big data and translate them into advances in medical science. China is a large country with a population of 1.3 billion and can contribute greatly to clinical researches by providing reliable and high-quality big data.

Entities:  

Keywords:  Big data; critical care medicine; mainland China

Year:  2014        PMID: 25392827      PMCID: PMC4213426          DOI: 10.3978/j.issn.2223-4292.2014.09.03

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  18 in total

1.  Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

Authors:  Mohammed Saeed; Mauricio Villarroel; Andrew T Reisner; Gari Clifford; Li-Wei Lehman; George Moody; Thomas Heldt; Tin H Kyaw; Benjamin Moody; Roger G Mark
Journal:  Crit Care Med       Date:  2011-05       Impact factor: 7.598

Review 2.  Beyond the randomized clinical trial: the role of effectiveness studies in evaluating cardiovascular therapies.

Authors:  Brahmajee K Nallamothu; Rodney A Hayward; Eric R Bates
Journal:  Circulation       Date:  2008-09-16       Impact factor: 29.690

3.  Red cell distribution width is associated with hospital mortality in unselected critically ill patients.

Authors:  Zhongheng Zhang; Xiao Xu; Hongying Ni; Hongsheng Deng
Journal:  J Thorac Dis       Date:  2013-12       Impact factor: 2.895

Review 4.  Regression models in clinical studies: determining relationships between predictors and response.

Authors:  F E Harrell; K L Lee; B G Pollock
Journal:  J Natl Cancer Inst       Date:  1988-10-05       Impact factor: 13.506

5.  Urine output on ICU entry is associated with hospital mortality in unselected critically ill patients.

Authors:  Zhongheng Zhang; Xiao Xu; Hongying Ni; Hongsheng Deng
Journal:  J Nephrol       Date:  2014-01-15       Impact factor: 3.902

6.  Learning from big health care data.

Authors:  Sebastian Schneeweiss
Journal:  N Engl J Med       Date:  2014-06-05       Impact factor: 91.245

7.  Observational studies using propensity score analysis underestimated the effect sizes in critical care medicine.

Authors:  Zhongheng Zhang; Hongying Ni; Xiao Xu
Journal:  J Clin Epidemiol       Date:  2014-04-26       Impact factor: 6.437

8.  Predictive value of lactate in unselected critically ill patients: an analysis using fractional polynomials.

Authors:  Zhongheng Zhang; Kun Chen; Hongying Ni; Haozhe Fan
Journal:  J Thorac Dis       Date:  2014-07       Impact factor: 2.895

9.  The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data.

Authors:  Ronald Margolis; Leslie Derr; Michelle Dunn; Michael Huerta; Jennie Larkin; Jerry Sheehan; Mark Guyer; Eric D Green
Journal:  J Am Med Inform Assoc       Date:  2014-07-09       Impact factor: 4.497

10.  Higher serum chloride concentrations are associated with acute kidney injury in unselected critically ill patients.

Authors:  Zhongheng Zhang; Xiao Xu; Haozhe Fan; Danyu Li; Hongsheng Deng
Journal:  BMC Nephrol       Date:  2013-10-28       Impact factor: 2.388

View more
  16 in total

1.  Data management by using R: big data clinical research series.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2015-11

2.  Comment on: Zhang Z, et al. Focus on China: should clinicians engage in research? and lessons from other countries. Quant Imaging Med Surg 2014;4:413-25.

Authors:  Yi-Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2014-10

3.  Quantitative cardiovascular imaging.

Authors:  Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2014-10

Review 4.  The changing landscape of clinical trial and approval processes in China.

Authors:  Qing Zhou; Xiao-Yuan Chen; Zhi-Min Yang; Yi-Long Wu
Journal:  Nat Rev Clin Oncol       Date:  2017-02-14       Impact factor: 66.675

5.  Propensity score method: a non-parametric technique to reduce model dependence.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2017-01

6.  When doctors meet with AlphaGo: potential application of machine learning to clinical medicine.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2016-03

Review 7.  AME evidence series 001-The Society for Translational Medicine: clinical practice guidelines for diagnosis and early identification of sepsis in the hospital.

Authors:  Zhongheng Zhang; Nathan J Smischney; Haibo Zhang; Sven Van Poucke; Panagiotis Tsirigotis; Jordi Rello; Patrick M Honore; Win Sen Kuan; Juliet June Ray; Jiancang Zhou; You Shang; Yuetian Yu; Christian Jung; Chiara Robba; Fabio Silvio Taccone; Pietro Caironi; David Grimaldi; Stefan Hofer; George Dimopoulos; Marc Leone; Sang-Bum Hong; Mabrouk Bahloul; Laurent Argaud; Won Young Kim; Herbert D Spapen; Jose Rodolfo Rocco
Journal:  J Thorac Dis       Date:  2016-09       Impact factor: 2.895

Review 8.  Toward a Literature-Driven Definition of Big Data in Healthcare.

Authors:  Emilie Baro; Samuel Degoul; Régis Beuscart; Emmanuel Chazard
Journal:  Biomed Res Int       Date:  2015-06-02       Impact factor: 3.411

9.  The association between fluid balance and mortality in patients with ARDS was modified by serum potassium levels: a retrospective study.

Authors:  Zhongheng Zhang; Lin Chen
Journal:  PeerJ       Date:  2015-02-10       Impact factor: 2.984

10.  The efficacy of activated protein C for the treatment of sepsis: incorporating observational evidence with a Bayesian approach.

Authors:  Zhongheng Zhang
Journal:  BMJ Open       Date:  2015-01-16       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.