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Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review

Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neur...

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Autores principales: Teixeira, Fernanda J. P., Ahmad, Bakhtawar, Gibatova, Viktoriya, Ameli, Pouya A., da Silva, Ivan, Carneiro, Thiago, Roth, William, Ford, Jenna L., Selfe, Terry Kit, Greer, David M., Busl, Katharina M., Maciel, Carolina B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309514/
https://www.ncbi.nlm.nih.gov/pubmed/37396931
http://dx.doi.org/10.1097/CCE.0000000000000943
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author Teixeira, Fernanda J. P.
Ahmad, Bakhtawar
Gibatova, Viktoriya
Ameli, Pouya A.
da Silva, Ivan
Carneiro, Thiago
Roth, William
Ford, Jenna L.
Selfe, Terry Kit
Greer, David M.
Busl, Katharina M.
Maciel, Carolina B.
author_facet Teixeira, Fernanda J. P.
Ahmad, Bakhtawar
Gibatova, Viktoriya
Ameli, Pouya A.
da Silva, Ivan
Carneiro, Thiago
Roth, William
Ford, Jenna L.
Selfe, Terry Kit
Greer, David M.
Busl, Katharina M.
Maciel, Carolina B.
author_sort Teixeira, Fernanda J. P.
collection PubMed
description Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neuroprognostic studies account for the potential impact of self-fulfilling prophecy bias in their methodology by assessing their adequacy of disclosing factors relevant to this bias. METHODS: Studies evaluating the prediction performance of neuroprognostic tools in cardiac arrest, malignant ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and spontaneous intracerebral hemorrhage will be identified through PubMed, Cochrane, and Embase database searches. Two reviewers blinded to each other’s assessment will perform screening and data extraction of included studies using Distiller SR and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will abstract data pertinent to the methodology of the studies relevant to self-fulfilling prophecy bias. RESULTS: We will conduct a descriptive analysis of the data. We will summarize the reporting of mortality according to timing and mode of death, rates of exposure to withdrawal of life-sustaining therapy, reasoning behind limitations of supportive care, systematic use of standardized neuroprognostication algorithms and whether the tool being investigated is part of such assessments, and blinding of treatment team to results of neuroprognostic test being evaluated. CONCLUSIONS: We will identify if neuroprognostic studies have been transparent in their methodology to factors that affect the self-fulfilling prophecy bias. Our results will serve as the foundation for standardization of neuroprognostic study methodologies by refining the quality of the data derived from such studies.
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spelling pubmed-103095142023-06-30 Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review Teixeira, Fernanda J. P. Ahmad, Bakhtawar Gibatova, Viktoriya Ameli, Pouya A. da Silva, Ivan Carneiro, Thiago Roth, William Ford, Jenna L. Selfe, Terry Kit Greer, David M. Busl, Katharina M. Maciel, Carolina B. Crit Care Explor Methodology Self-fulfilling prophecy bias occurs when a perceived prognosis leads to treatment decisions that inherently modify outcomes of a patient, and thus, overinflate the prediction performance of prognostic methods. The goal of this series of systematic reviews is to characterize the extent to which neuroprognostic studies account for the potential impact of self-fulfilling prophecy bias in their methodology by assessing their adequacy of disclosing factors relevant to this bias. METHODS: Studies evaluating the prediction performance of neuroprognostic tools in cardiac arrest, malignant ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and spontaneous intracerebral hemorrhage will be identified through PubMed, Cochrane, and Embase database searches. Two reviewers blinded to each other’s assessment will perform screening and data extraction of included studies using Distiller SR and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We will abstract data pertinent to the methodology of the studies relevant to self-fulfilling prophecy bias. RESULTS: We will conduct a descriptive analysis of the data. We will summarize the reporting of mortality according to timing and mode of death, rates of exposure to withdrawal of life-sustaining therapy, reasoning behind limitations of supportive care, systematic use of standardized neuroprognostication algorithms and whether the tool being investigated is part of such assessments, and blinding of treatment team to results of neuroprognostic test being evaluated. CONCLUSIONS: We will identify if neuroprognostic studies have been transparent in their methodology to factors that affect the self-fulfilling prophecy bias. Our results will serve as the foundation for standardization of neuroprognostic study methodologies by refining the quality of the data derived from such studies. Lippincott Williams & Wilkins 2023-06-28 /pmc/articles/PMC10309514/ /pubmed/37396931 http://dx.doi.org/10.1097/CCE.0000000000000943 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Methodology
Teixeira, Fernanda J. P.
Ahmad, Bakhtawar
Gibatova, Viktoriya
Ameli, Pouya A.
da Silva, Ivan
Carneiro, Thiago
Roth, William
Ford, Jenna L.
Selfe, Terry Kit
Greer, David M.
Busl, Katharina M.
Maciel, Carolina B.
Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title_full Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title_fullStr Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title_full_unstemmed Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title_short Do Neuroprognostic Studies Account for Self-Fulfilling Prophecy Bias in Their Methodology? The SPIN Protocol for a Systematic Review
title_sort do neuroprognostic studies account for self-fulfilling prophecy bias in their methodology? the spin protocol for a systematic review
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309514/
https://www.ncbi.nlm.nih.gov/pubmed/37396931
http://dx.doi.org/10.1097/CCE.0000000000000943
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