Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis
The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large obse...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Столичная издательская компания
2021-09-01
|
| Series: | Рациональная фармакотерапия в кардиологии |
| Subjects: | |
| Online Access: | https://www.rpcardio.online/jour/article/view/2541 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839641127407321088 |
|---|---|
| author | S. R. Gilyarevsky |
| author_facet | S. R. Gilyarevsky |
| author_sort | S. R. Gilyarevsky |
| collection | DOAJ |
| description | The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large observational studies is being discussed. Data on the limitations of administrative and claims databases when performing observational studies to assess the effects of interventions are presented. The concept of confounding factors influencing the results of observational studies is discussed. Modern approaches to reducing the severity of bias in real-life clinical practice studies are presented. The criteria for assessing the quality of observational pharmacoepidemiological studies and the fundamental differences between such studies and randomized clinical trials are presented. The results of systematic reviews of real-life clinical trials to assess the effects of direct oral anticoagulants are discussed. |
| format | Article |
| id | doaj-art-2a1a1e92d5dc4e10a49069e717d226e4 |
| institution | Matheson Library |
| issn | 1819-6446 2225-3653 |
| language | English |
| publishDate | 2021-09-01 |
| publisher | Столичная издательская компания |
| record_format | Article |
| series | Рациональная фармакотерапия в кардиологии |
| spelling | doaj-art-2a1a1e92d5dc4e10a49069e717d226e42025-07-03T07:28:38ZengСтоличная издательская компанияРациональная фармакотерапия в кардиологии1819-64462225-36532021-09-0117458459310.20996/1819-6446-2021-08-011933Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data AnalysisS. R. Gilyarevsky0Russian Medical Academy of Continuing Professional EducationThe article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large observational studies is being discussed. Data on the limitations of administrative and claims databases when performing observational studies to assess the effects of interventions are presented. The concept of confounding factors influencing the results of observational studies is discussed. Modern approaches to reducing the severity of bias in real-life clinical practice studies are presented. The criteria for assessing the quality of observational pharmacoepidemiological studies and the fundamental differences between such studies and randomized clinical trials are presented. The results of systematic reviews of real-life clinical trials to assess the effects of direct oral anticoagulants are discussed.https://www.rpcardio.online/jour/article/view/2541clinical practice studiesbig datapharmacoepidemiological studiesdirect oral anticoagulants |
| spellingShingle | S. R. Gilyarevsky Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis Рациональная фармакотерапия в кардиологии clinical practice studies big data pharmacoepidemiological studies direct oral anticoagulants |
| title | Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis |
| title_full | Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis |
| title_fullStr | Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis |
| title_full_unstemmed | Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis |
| title_short | Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis |
| title_sort | approaches to assessing the quality of observational studies of clinical practice based on the big data analysis |
| topic | clinical practice studies big data pharmacoepidemiological studies direct oral anticoagulants |
| url | https://www.rpcardio.online/jour/article/view/2541 |
| work_keys_str_mv | AT srgilyarevsky approachestoassessingthequalityofobservationalstudiesofclinicalpracticebasedonthebigdataanalysis |