Methodological review to develop a list of bias items for adaptive clinical trials: Protocol and rationale

Randomized-clinical trials (RCTs) are the gold-standard for comparing health care interventions, but can be limited by early termination, feasibility issues, and prolonged time to trial reporting. Adaptive clinical trials (ACTs), which are defined by pre-planned modifications and analyses that occur...

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Veröffentlicht in:PloS one 2024-12, Vol.19 (12), p.e0303315
Hauptverfasser: Staibano, Phillip, McKechnie, Tyler, Thabane, Alex, Olteanu, Daniel, Nanji, Keean, Zhang, Han, Lunny, Carole, Au, Michael, Gupta, Michael K, Pasternak, Jesse D, Parpia, Sameer, Young, Jem Ted, Bhandari, Mohit
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container_issue 12
container_start_page e0303315
container_title PloS one
container_volume 19
creator Staibano, Phillip
McKechnie, Tyler
Thabane, Alex
Olteanu, Daniel
Nanji, Keean
Zhang, Han
Lunny, Carole
Au, Michael
Gupta, Michael K
Pasternak, Jesse D
Parpia, Sameer
Young, Jem Ted
Bhandari, Mohit
description Randomized-clinical trials (RCTs) are the gold-standard for comparing health care interventions, but can be limited by early termination, feasibility issues, and prolonged time to trial reporting. Adaptive clinical trials (ACTs), which are defined by pre-planned modifications and analyses that occur after starting patient recruitment, are gaining popularity as they can streamline trial design and time to reporting. As adaptive methodologies continue to be adopted by researchers, it will be critical to develop a risk of bias tool that evaluates the unique methodological features of ACTs so that their quality can be improved and standardized for the future. In our proposed methodological review, we will develop a list of risk of bias items and concepts, so that a risk of bias tool specific to ACTs can be developed. We will perform a systematic database search to capture studies that have proposed or reviewed items pertaining to methodological risk, bias, and/or quality in ACTs. We will perform a comprehensive search of citation databases, such as Ovid MEDLINE, EMBASE, CENTRAL, the Cochrane library, and Web of Science, in addition to multiple grey literature sources to capture published and unpublished literature related to studies evaluating the methodological quality of ACTs. We will also search methodological registries for any risk of bias tools for ACTs. All screening and review stages will be performed in duplicate with a third senior author serving as arbitrator for any discrepancies. For all studies of methodological quality and risk of bias, we will extract all pertinent bias items, concepts, and/or tools. We will combine conceptually similar items in a descriptive manner and classify them as referring to bias or to other aspects of methodological quality, such as reporting. We will plan to generate pertinent risk of bias items to generate a candidate tool that will undergo further refinement, testing, and validation in future development stages. This review does not require ethics approval as human subjects are not involved. As mentioned previously, this study is the first step in developing a tool to evaluate the risk of bias and methodological quality of ACTs. The findings of this review will inform a Delphi study and the development of a risk of bias tool for ACTs. We plan on publishing this review in a peer-reviewed journal and to present these findings at international scientific conferences.
doi_str_mv 10.1371/journal.pone.0303315
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Adaptive clinical trials (ACTs), which are defined by pre-planned modifications and analyses that occur after starting patient recruitment, are gaining popularity as they can streamline trial design and time to reporting. As adaptive methodologies continue to be adopted by researchers, it will be critical to develop a risk of bias tool that evaluates the unique methodological features of ACTs so that their quality can be improved and standardized for the future. In our proposed methodological review, we will develop a list of risk of bias items and concepts, so that a risk of bias tool specific to ACTs can be developed. We will perform a systematic database search to capture studies that have proposed or reviewed items pertaining to methodological risk, bias, and/or quality in ACTs. We will perform a comprehensive search of citation databases, such as Ovid MEDLINE, EMBASE, CENTRAL, the Cochrane library, and Web of Science, in addition to multiple grey literature sources to capture published and unpublished literature related to studies evaluating the methodological quality of ACTs. We will also search methodological registries for any risk of bias tools for ACTs. All screening and review stages will be performed in duplicate with a third senior author serving as arbitrator for any discrepancies. For all studies of methodological quality and risk of bias, we will extract all pertinent bias items, concepts, and/or tools. We will combine conceptually similar items in a descriptive manner and classify them as referring to bias or to other aspects of methodological quality, such as reporting. We will plan to generate pertinent risk of bias items to generate a candidate tool that will undergo further refinement, testing, and validation in future development stages. This review does not require ethics approval as human subjects are not involved. As mentioned previously, this study is the first step in developing a tool to evaluate the risk of bias and methodological quality of ACTs. The findings of this review will inform a Delphi study and the development of a risk of bias tool for ACTs. 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Adaptive clinical trials (ACTs), which are defined by pre-planned modifications and analyses that occur after starting patient recruitment, are gaining popularity as they can streamline trial design and time to reporting. As adaptive methodologies continue to be adopted by researchers, it will be critical to develop a risk of bias tool that evaluates the unique methodological features of ACTs so that their quality can be improved and standardized for the future. In our proposed methodological review, we will develop a list of risk of bias items and concepts, so that a risk of bias tool specific to ACTs can be developed. We will perform a systematic database search to capture studies that have proposed or reviewed items pertaining to methodological risk, bias, and/or quality in ACTs. We will perform a comprehensive search of citation databases, such as Ovid MEDLINE, EMBASE, CENTRAL, the Cochrane library, and Web of Science, in addition to multiple grey literature sources to capture published and unpublished literature related to studies evaluating the methodological quality of ACTs. We will also search methodological registries for any risk of bias tools for ACTs. All screening and review stages will be performed in duplicate with a third senior author serving as arbitrator for any discrepancies. For all studies of methodological quality and risk of bias, we will extract all pertinent bias items, concepts, and/or tools. We will combine conceptually similar items in a descriptive manner and classify them as referring to bias or to other aspects of methodological quality, such as reporting. We will plan to generate pertinent risk of bias items to generate a candidate tool that will undergo further refinement, testing, and validation in future development stages. This review does not require ethics approval as human subjects are not involved. As mentioned previously, this study is the first step in developing a tool to evaluate the risk of bias and methodological quality of ACTs. The findings of this review will inform a Delphi study and the development of a risk of bias tool for ACTs. We plan on publishing this review in a peer-reviewed journal and to present these findings at international scientific conferences.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39666716</pmid><doi>10.1371/journal.pone.0303315</doi><tpages>e0303315</tpages><orcidid>https://orcid.org/0000-0002-9095-9543</orcidid><orcidid>https://orcid.org/0000-0002-9407-5622</orcidid><orcidid>https://orcid.org/0009-0002-6819-9995</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1932-6203
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1932-6203
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subjects Adaptive Clinical Trials as Topic - methods
Arbitration
Bias
Clinical trials
Database searching
Design standards
Developmental stages
Engineering and Technology
Ethics
Evidence-based medicine
Health technology assessment
Humans
Identification and classification
Internet/Web search services
Medical research
Medicine and Health Sciences
Medicine, Experimental
Meta-analysis
Methods
Online searching
Physical Sciences
Product development
Randomized Controlled Trials as Topic
Research and Analysis Methods
Research bias
Research Design - standards
Scientific conferences
Searching
Study Protocol
Telmisartan
title Methodological review to develop a list of bias items for adaptive clinical trials: Protocol and rationale
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