SAS Enterprise Guide 6.1 for physicians: getting started

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Abstract

Objective. To develop algorithm of data analysis of prospective non-randomized clinical trial AMIRI–CABG (ClinicalTrials.gov Identifier: NCT03050489) using SAS Enterprise Guide 6.1.

Materials and methods. Data collection was performed according prospective non-randomized clinical trial AMIRI–CABG in Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia between 2016–2019 years with 336 patients. There is database with clinical, laboratory and instrumental data. Statistical analysis was performed with SAS Enterprise Guide 6.1.

Results. There was developed algorithm of data analysis of prospective non-randomized clinical trial AMIRI–CABG. This algorithm could be useful for physicians and researchers for data analysis.

Conclusion. Presented algorithm of data analysis could make easier and improve efficient data analysis. SAS Enterprise Guide 6.1 allows fast and accurate process big data.

About the authors

Nikolay S. Bunenkov

Pavlov First Saint Petersburg State Medical University

Author for correspondence.
Email: bunenkov2006@gmail.com
ORCID iD: 0000-0003-4331-028X

Aspirant, Department of Faculty Surgery

Russian Federation, St. Petersburg

Gulnara F. Bunenkova

Pavlov First Saint Petersburg State Medical University

Email: gulnara533@gmail.com

Resident, Department of Hospital Therapy

Russian Federation, St. Petersburg

Sergey A. Beliy

Pavlov First Saint Petersburg State Medical University

Email: sabel1968@mail.ru
ORCID iD: 0000-0002-6415-4389

PhD, cardiac surgeon, Department of Cardiac Surgery #2

Russian Federation, St. Petersburg

Vladimir V. Komok

Pavlov First Saint Petersburg State Medical University

Email: vladimir_komok@mail.ru
ORCID iD: 0000-0002-3834-7566

PhD, cardiac surgeon, Department of Cardiac Surgery #2

Russian Federation, St. Petersburg

Oleg A. Grinenko

Pavlov First Saint Petersburg State Medical University

Email: klinika@spb-gmu.ru

MD, vice-rector

Russian Federation, St. Petersburg

Alexander S. Nemkov

Pavlov First Saint Petersburg State Medical University

Email: nemk_as@mail.ru
ORCID iD: 0000-0002-5152-0001

Doctor of Medical Science, professor, cardiac surgeon, Chief of Department of Cardiac Surgery #2

Russian Federation, St. Petersburg

References

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  2. May M. Twenty-five ways clinical trials have changed in the last 25 years. Nat Med. 2019;25(1):2-5. https://doi.org/10.1038/s41591-018-0314-1.
  3. Гржибовский А. М. Типы данных, проверка распределения и описательная статистика // Экология человека. – 2008. – № 1. – С. 52–58. [Grjibovski АМ. Data types, control of distribution and descriptive statistics. Ecology, human. 2008;(1):52-58. (In Russ.)]
  4. Dolezel D, McLeod A. Big data analytics in healthcare: investigating the diffusion of innovation. Perspect Health Inf Manag. 2019;16(Summer):1a.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. New project creating

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3. Fig. 2. Excel database import

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4. Fig. 3. File Excel import

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5. Fig. 4. File Excel import (next step)

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6. Fig. 5. List Excel selection

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7. Fig. 6. Variables type checking

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8. Fig. 7. Variables type correction

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9. Fig. 8. Completing database import

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10. Fig. 9. SAS Enterprise Guide 6.1 Dataset

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11. Fig. 10. Program list creating

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12. Fig. 11. DATASET pointer

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13. Fig. 12. Run program

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14. Fig. 13. Distribution analysis

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15. Fig. 14. Normality tests for TnI1

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16. Fig. 15. Normality tests for Age

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17. Fig. 16. Schema running

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18. Fig. 17. Lognormal distribution

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19. Fig. 18. Normality tests for lognormal distribution

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Copyright (c) 2019 Bunenkov N.S., Bunenkova G.F., Beliy S.A., Komok V.V., Grinenko O.A., Nemkov A.S.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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