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Revelatory Trends in Clinical Research
Sagar Ghotekar Vishal Kushare
Research Associate Ass. Professor
Varsha Sorate Manmeet Singh Mandloi
Research Associate Research Associate
Revelatory Trends in Clinical Data Management
What is the significance of data management in clinical research ?
 Clinical data management is a heart and important part of a clinical trials,
the outcome to generate quality data and accounting of records to protect
clinical trial participants data leads to highest quality and integrity of
clinical trials.
 Due to globalization of clinical trials sponsor needs to meet international
standards and strictly comply with regulatory requirements for approvals
of new drug application (NDA).
 Clinical Data Management process involves collection, integration and
validation of clinical trial data in compliance with regulatory standards
 The quality of data generated during phases of trials play an important role in
the outcome of study.
 High quality of data should be absolutely accurate and suitable for statistical
analysis which results in sufficient integrity to ensure confidence in result
and conclusion depends on data generated, collected and presented during
clinical trial for review and approval of new drug by regulatory agencies.
Categorization of Clinical Research
Clinical Operations
Submission/Publication
Pharmacovigilance
Data Management
Biostatistics (SAS)
Medical Writing
Regulatory Submissions
Study reports
Clinical Safety & Efficacy
Clinical data is generated
Clinical data is cleaned
Clinical data is Analyzed
New Drug is
Marketed
Clinical trial operations plays the major role in the drug development process
right from the Phase 0 Pre Clinical Studies, Phase I, Phase II, Phase III and
Phase IV Post Marketing Surveillance.
The clinical trial operations and clinical data management together
encompasses three main stages in the drug development phase.
1. Clinical Study Start Up Phase
2. Clinical Study Conduct Phase
3. Clinical Study Close Out Phase
1. Clinical Study Start Up Phase
• Case Report Form (CRF) design and development (Paper CRF/ Electronic
CRF e-CRF)
• Database Build and Design
• Quality Checks and Edit Checks
• Database Validation
• Database Activation
2. Clinical Study Conduct Phase
• Data Entry
• Discrepancy Management and Query to Investigator
• Data Coding of Medical Terms (using MedDRA [Medical Dictionary for
Regulatory Activities] and WHODD [ World Health Organization Drug
Dictionary])
• Database Updates
• Data Review (Ongoing Quality Checks)
• SAE Reconciliation
• Transfer of Data
3. Clinical Study Close Out Phase
• Data Discrepancy Management
• Query Generation in Data Entered
• Resolution/ Database Update
• Manual Checks/ CRF Tracking
• SAE Reconciliation
• Quality Control of Data
• Database Lock and Freeze
• Data Archival/ Electronic Archival
• Database Transfer
Important process involved in clinical trials
1. Clinical Data Analysis and Reporting Process
2. Release of Database
3. Extraction and Mapping of Clinical Data Entered
4. Statistical Analysis Performed
5. Statistical Analysis Report Generation
6. Electronically Data Publishing
7. Listings, Tables and Figures Publishing
8. CSR (Clinical Study Reports) are Created
9. CSR Submission
Overview of clinical trial and different phases in drug
development process
It involves planning (Creations of protocol as per study requirement)
Designing and development of database
Database setup
Design of forms and CRFs
Data edit checks
Data validation checks
Objectives of CDM Process
Collection of Clean Data
Integration of Data Captured
Validation of Data Captured
Responsibilities in clinical research operations
Key Responsibilities Performed
 Performing study/protocol procedures in a detailed, accurate manner
 Submitting regulatory documents to IRB and Sponsor
 Submitting the clinical study agreement
 Attending investigator meeting(s)
 Recruiting subjects
 Getting voluntary subject consent
 Screening and scheduling subjects
 Dispensing, Dosing
 Tracking and maintaining the study budget and payments, including
invoicing the sponsor for completed work
 Maintaining communication and correspondence (by telephone, email, fax,
etc.) with subjects, sponsor, monitor and other site study personnel,
including: IRB
 Completing case report forms (CRF) for PI review and approval.
 Regulatory communication.
 Handling study team
 Key role in maintaining corrected data in source and other documents for
data management
 Patient Handling
 Record Keeping.
 Systems to ensure quality are implemented in all aspects of the trial.
 Maintaining Site Master File, Patient logs, Laboratory data and Patient
history data while performing clinical trials
 Maintaining all regulatory required documents and IRB approval and other
study related documents
Monitoring Activities
 Monitor the conduct of clinical trials, especially enrollment and quality of
data.
 Verify subject safety and site adherence to FDA Regulations and ICH/GCP
Guidelines.
 Ensure Adverse Events are reported appropriately, accurately and in a timely
manner and that follow-up activities are conducted as necessary.
 Review CRF, Informed Consent Documents and query language/narratives.
 Acquire specific clinical and therapeutic knowledge related to studies
monitored.
 Conduct Qualification, Initiation, Interim and Closeout Clinical Activity
 Manage trial reports, letters, query resolutions and expenses.
 Provide support and timely follow-up for all audit and quality assurance
activities.
 Communicate with study team for all trial related activities and maintain
quality work.
 Communicate with medical expert team and Coordinating Investigators
 Maintain TMF (Trial Master File) as per regulatory requirements.
Terminologies in Clinical Research and Drug
Development Process
Clinical Trials
ICH-GCP, Site Selection, Site Initiation, Terminologies, Schedule-Y, ICMR
Guidelines, Phase I, II, III & IV trials, Responsibilities of Monitor, CTA, CRA,
CRC, Investigator, Sponsor, Protocol, Investigational Brochure, CRF, eCRF,
Recruitment and Enrolment, CRF Completion and Submission, Good
Understanding of Regulatory guidelines in CR.
Clinical Data Management
Electronic Data Capture , CRF designing, Validation, Clinical Data Management
(Process Flow), Data Collection, Data Load/Transfer, Data Storage, Data
Validation, Data Archiving, SOPs and Audits, Query resolution.
Oracle Clinical® overview, Medidata Rave, EDC, 21 CFR part11 and Data
entry and data collection including Data transfer.
Pharmacovigilance
ADR, Serious Adverse Reaction, SAE, MedDRA, Risk Management,
Pharmacovigilance role, adverse drug reaction, SUSAR, ICH guidelines,
Schedule Y, Adverse event reporting (Medwatch form), Case process unit/
data entry (triage unit), Case assessment (expectedness, causality, expedited
of event),Narrative writing, Medical Terminologies.
Medical Writing
Safety Writing, Regulatory Writing, Clinical Writing
Key Responsibilities in Document and Data Managements
 Identification of clinical documents, including but not restricted to study,
site, country & project level.
 Contribute to the compilation, organization, and processing of protocol
required data, clinical study reports, regulatory submissions, or other
controlled documentation
 Process clinical data including receipt, entry, verification, or filing of
information
 Prepare appropriate formatting to datasets as requested
 Performing QC of data entered by the specialist as per defined guidelines.
 Prepare work instruction manuals, data capture guidelines, or standard
operating procedures
 Query management
 Making required corrections/ Updating users to correct data as per feedback
provided
 Update and maintain the data with accuracy and integrity within all relevant
Clinical study systems.
 Supporting Client Clinical Study team to meet urgent deliverables ensuring
inspection readiness
 Manage and Archive essential documents as per Sponsor TMF SOP.
 Organize and participating in all appropriate meetings with Study team
 Compile the NDA , and ANDA document to be submitted to regulatory
Agency
 Follow regulatory requirement as per e-CTD, CTD, & ACTD formats
Different Tools and Databases Used in Clinical Trials
and Data Management
• Medidata Rave
• Oracle Clinical
• Openclinica, Argus
• MasterScope
• ERT(e-Research Technology)
• MS-Access, Synflow
• Square- Adverse Event Report
• Credi
• e-TMF Tool
4%
3%
8%
3%
5%
2%
3%
16%
15%
14%
15%
13%
8%
13%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
Infect. Dis. Endocrine Autoimmune Respiratory Neurology Cardiovascular Oncology
SUCCESS RATE OF CLINICAL TRIALS
CurrentPrevious
Conclusion
The revelatory trends in clinical trials provide the evidence that trials conducted
currently are standardized due to which the generated data is more accurate for
regulatory submissions. Thus it can be concluded that approved drugs are
highly beneficial for community and revelatory trends in clinical trial shows
higher success rate.
References:
 https://www.ich.org/products/guidelines.html
 https://www.albertadoctors.org/emr_resources/DataManagementHandboo
k.pdf
 http://www.albertanetcare.ca/learningcentre/documents/EMR-Data-
Management-Handbook.pdf
 http://www.searo.who.int/india/topics/en/
 https://clinicaltrials.gov/
 http://ctri.nic.in/Clinicaltrials/login.php
Thank You

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Revelatory Trends in Clinical Research and Data Management

  • 1. Revelatory Trends in Clinical Research Sagar Ghotekar Vishal Kushare Research Associate Ass. Professor Varsha Sorate Manmeet Singh Mandloi Research Associate Research Associate
  • 2. Revelatory Trends in Clinical Data Management What is the significance of data management in clinical research ?  Clinical data management is a heart and important part of a clinical trials, the outcome to generate quality data and accounting of records to protect clinical trial participants data leads to highest quality and integrity of clinical trials.  Due to globalization of clinical trials sponsor needs to meet international standards and strictly comply with regulatory requirements for approvals of new drug application (NDA).
  • 3.  Clinical Data Management process involves collection, integration and validation of clinical trial data in compliance with regulatory standards  The quality of data generated during phases of trials play an important role in the outcome of study.  High quality of data should be absolutely accurate and suitable for statistical analysis which results in sufficient integrity to ensure confidence in result and conclusion depends on data generated, collected and presented during clinical trial for review and approval of new drug by regulatory agencies.
  • 4. Categorization of Clinical Research Clinical Operations Submission/Publication Pharmacovigilance Data Management Biostatistics (SAS) Medical Writing Regulatory Submissions Study reports Clinical Safety & Efficacy Clinical data is generated Clinical data is cleaned Clinical data is Analyzed New Drug is Marketed
  • 5. Clinical trial operations plays the major role in the drug development process right from the Phase 0 Pre Clinical Studies, Phase I, Phase II, Phase III and Phase IV Post Marketing Surveillance. The clinical trial operations and clinical data management together encompasses three main stages in the drug development phase. 1. Clinical Study Start Up Phase 2. Clinical Study Conduct Phase 3. Clinical Study Close Out Phase
  • 6. 1. Clinical Study Start Up Phase • Case Report Form (CRF) design and development (Paper CRF/ Electronic CRF e-CRF) • Database Build and Design • Quality Checks and Edit Checks • Database Validation • Database Activation
  • 7. 2. Clinical Study Conduct Phase • Data Entry • Discrepancy Management and Query to Investigator • Data Coding of Medical Terms (using MedDRA [Medical Dictionary for Regulatory Activities] and WHODD [ World Health Organization Drug Dictionary]) • Database Updates • Data Review (Ongoing Quality Checks) • SAE Reconciliation • Transfer of Data
  • 8. 3. Clinical Study Close Out Phase • Data Discrepancy Management • Query Generation in Data Entered • Resolution/ Database Update • Manual Checks/ CRF Tracking • SAE Reconciliation • Quality Control of Data • Database Lock and Freeze • Data Archival/ Electronic Archival • Database Transfer
  • 9. Important process involved in clinical trials 1. Clinical Data Analysis and Reporting Process 2. Release of Database 3. Extraction and Mapping of Clinical Data Entered 4. Statistical Analysis Performed 5. Statistical Analysis Report Generation 6. Electronically Data Publishing 7. Listings, Tables and Figures Publishing 8. CSR (Clinical Study Reports) are Created 9. CSR Submission
  • 10. Overview of clinical trial and different phases in drug development process It involves planning (Creations of protocol as per study requirement) Designing and development of database Database setup Design of forms and CRFs Data edit checks Data validation checks
  • 11. Objectives of CDM Process Collection of Clean Data Integration of Data Captured Validation of Data Captured
  • 12.
  • 13. Responsibilities in clinical research operations Key Responsibilities Performed  Performing study/protocol procedures in a detailed, accurate manner  Submitting regulatory documents to IRB and Sponsor  Submitting the clinical study agreement  Attending investigator meeting(s)  Recruiting subjects  Getting voluntary subject consent  Screening and scheduling subjects  Dispensing, Dosing
  • 14.  Tracking and maintaining the study budget and payments, including invoicing the sponsor for completed work  Maintaining communication and correspondence (by telephone, email, fax, etc.) with subjects, sponsor, monitor and other site study personnel, including: IRB  Completing case report forms (CRF) for PI review and approval.  Regulatory communication.  Handling study team  Key role in maintaining corrected data in source and other documents for data management
  • 15.  Patient Handling  Record Keeping.  Systems to ensure quality are implemented in all aspects of the trial.  Maintaining Site Master File, Patient logs, Laboratory data and Patient history data while performing clinical trials  Maintaining all regulatory required documents and IRB approval and other study related documents
  • 16. Monitoring Activities  Monitor the conduct of clinical trials, especially enrollment and quality of data.  Verify subject safety and site adherence to FDA Regulations and ICH/GCP Guidelines.  Ensure Adverse Events are reported appropriately, accurately and in a timely manner and that follow-up activities are conducted as necessary.  Review CRF, Informed Consent Documents and query language/narratives.  Acquire specific clinical and therapeutic knowledge related to studies monitored.
  • 17.  Conduct Qualification, Initiation, Interim and Closeout Clinical Activity  Manage trial reports, letters, query resolutions and expenses.  Provide support and timely follow-up for all audit and quality assurance activities.  Communicate with study team for all trial related activities and maintain quality work.  Communicate with medical expert team and Coordinating Investigators  Maintain TMF (Trial Master File) as per regulatory requirements.
  • 18. Terminologies in Clinical Research and Drug Development Process Clinical Trials ICH-GCP, Site Selection, Site Initiation, Terminologies, Schedule-Y, ICMR Guidelines, Phase I, II, III & IV trials, Responsibilities of Monitor, CTA, CRA, CRC, Investigator, Sponsor, Protocol, Investigational Brochure, CRF, eCRF, Recruitment and Enrolment, CRF Completion and Submission, Good Understanding of Regulatory guidelines in CR.
  • 19. Clinical Data Management Electronic Data Capture , CRF designing, Validation, Clinical Data Management (Process Flow), Data Collection, Data Load/Transfer, Data Storage, Data Validation, Data Archiving, SOPs and Audits, Query resolution. Oracle Clinical® overview, Medidata Rave, EDC, 21 CFR part11 and Data entry and data collection including Data transfer.
  • 20. Pharmacovigilance ADR, Serious Adverse Reaction, SAE, MedDRA, Risk Management, Pharmacovigilance role, adverse drug reaction, SUSAR, ICH guidelines, Schedule Y, Adverse event reporting (Medwatch form), Case process unit/ data entry (triage unit), Case assessment (expectedness, causality, expedited of event),Narrative writing, Medical Terminologies. Medical Writing Safety Writing, Regulatory Writing, Clinical Writing
  • 21. Key Responsibilities in Document and Data Managements  Identification of clinical documents, including but not restricted to study, site, country & project level.  Contribute to the compilation, organization, and processing of protocol required data, clinical study reports, regulatory submissions, or other controlled documentation  Process clinical data including receipt, entry, verification, or filing of information  Prepare appropriate formatting to datasets as requested  Performing QC of data entered by the specialist as per defined guidelines.  Prepare work instruction manuals, data capture guidelines, or standard operating procedures  Query management
  • 22.  Making required corrections/ Updating users to correct data as per feedback provided  Update and maintain the data with accuracy and integrity within all relevant Clinical study systems.  Supporting Client Clinical Study team to meet urgent deliverables ensuring inspection readiness  Manage and Archive essential documents as per Sponsor TMF SOP.  Organize and participating in all appropriate meetings with Study team  Compile the NDA , and ANDA document to be submitted to regulatory Agency  Follow regulatory requirement as per e-CTD, CTD, & ACTD formats
  • 23. Different Tools and Databases Used in Clinical Trials and Data Management • Medidata Rave • Oracle Clinical • Openclinica, Argus • MasterScope • ERT(e-Research Technology) • MS-Access, Synflow • Square- Adverse Event Report • Credi • e-TMF Tool
  • 24. 4% 3% 8% 3% 5% 2% 3% 16% 15% 14% 15% 13% 8% 13% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% Infect. Dis. Endocrine Autoimmune Respiratory Neurology Cardiovascular Oncology SUCCESS RATE OF CLINICAL TRIALS CurrentPrevious
  • 25.
  • 26. Conclusion The revelatory trends in clinical trials provide the evidence that trials conducted currently are standardized due to which the generated data is more accurate for regulatory submissions. Thus it can be concluded that approved drugs are highly beneficial for community and revelatory trends in clinical trial shows higher success rate.
  • 27. References:  https://www.ich.org/products/guidelines.html  https://www.albertadoctors.org/emr_resources/DataManagementHandboo k.pdf  http://www.albertanetcare.ca/learningcentre/documents/EMR-Data- Management-Handbook.pdf  http://www.searo.who.int/india/topics/en/  https://clinicaltrials.gov/  http://ctri.nic.in/Clinicaltrials/login.php