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Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors

BACKGROUND: Chronic tinnitus is a clinically multidimensional phenomenon that entails audiological, psychological and somatosensory components. Previous research has demonstrated age and female gender as potential risk factors, although studies to this regard are heterogeneous. Moreover, whilst rece...

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Autores principales: Puga, Clara, Schleicher, Miro, Niemann, Uli, Unnikrishnan, Vishnu, Boecking, Benjamin, Brueggemann, Petra, Simoes, Jorge, Langguth, Berthold, Schlee, Winfried, Mazurek, Birgit, Spiliopoulou, Myra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984251/
https://www.ncbi.nlm.nih.gov/pubmed/35401072
http://dx.doi.org/10.3389/fnins.2022.818686
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author Puga, Clara
Schleicher, Miro
Niemann, Uli
Unnikrishnan, Vishnu
Boecking, Benjamin
Brueggemann, Petra
Simoes, Jorge
Langguth, Berthold
Schlee, Winfried
Mazurek, Birgit
Spiliopoulou, Myra
author_facet Puga, Clara
Schleicher, Miro
Niemann, Uli
Unnikrishnan, Vishnu
Boecking, Benjamin
Brueggemann, Petra
Simoes, Jorge
Langguth, Berthold
Schlee, Winfried
Mazurek, Birgit
Spiliopoulou, Myra
author_sort Puga, Clara
collection PubMed
description BACKGROUND: Chronic tinnitus is a clinically multidimensional phenomenon that entails audiological, psychological and somatosensory components. Previous research has demonstrated age and female gender as potential risk factors, although studies to this regard are heterogeneous. Moreover, whilst recent research has begun to identify clinical “phenotypes,” little is known about differences in patient population profiles at geographically separated and specialized treatment centers. Identifying such differences might prevent potential biases in joint randomized controlled trials (RCTs) and allow for population-specific treatment adaptations. METHOD: Two German tinnitus treatment centers were compared regarding pre-treatment data distributions of their patient population bases. To identify overlapping as well as center-specific factors, juxtaposition-, similarity-, and meta-data-based methods were applied. RESULTS: Between centers, significant differences emerged. One center demonstrated some predictive power of the patients of the other center with regard to questionnaire score after treatment, indicating similarities in treatment response across center populations. Furthermore, adherence to the completion of the questionnaires was found to be an important factor in predicting post-treatment data. DISCUSSION: Differential age and gender distributions per center should be considered as regards RCT design and individualized treatment planning.
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spelling pubmed-89842512022-04-07 Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors Puga, Clara Schleicher, Miro Niemann, Uli Unnikrishnan, Vishnu Boecking, Benjamin Brueggemann, Petra Simoes, Jorge Langguth, Berthold Schlee, Winfried Mazurek, Birgit Spiliopoulou, Myra Front Neurosci Neuroscience BACKGROUND: Chronic tinnitus is a clinically multidimensional phenomenon that entails audiological, psychological and somatosensory components. Previous research has demonstrated age and female gender as potential risk factors, although studies to this regard are heterogeneous. Moreover, whilst recent research has begun to identify clinical “phenotypes,” little is known about differences in patient population profiles at geographically separated and specialized treatment centers. Identifying such differences might prevent potential biases in joint randomized controlled trials (RCTs) and allow for population-specific treatment adaptations. METHOD: Two German tinnitus treatment centers were compared regarding pre-treatment data distributions of their patient population bases. To identify overlapping as well as center-specific factors, juxtaposition-, similarity-, and meta-data-based methods were applied. RESULTS: Between centers, significant differences emerged. One center demonstrated some predictive power of the patients of the other center with regard to questionnaire score after treatment, indicating similarities in treatment response across center populations. Furthermore, adherence to the completion of the questionnaires was found to be an important factor in predicting post-treatment data. DISCUSSION: Differential age and gender distributions per center should be considered as regards RCT design and individualized treatment planning. Frontiers Media S.A. 2022-03-23 /pmc/articles/PMC8984251/ /pubmed/35401072 http://dx.doi.org/10.3389/fnins.2022.818686 Text en Copyright © 2022 Puga, Schleicher, Niemann, Unnikrishnan, Boecking, Brueggemann, Simoes, Langguth, Schlee, Mazurek and Spiliopoulou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Puga, Clara
Schleicher, Miro
Niemann, Uli
Unnikrishnan, Vishnu
Boecking, Benjamin
Brueggemann, Petra
Simoes, Jorge
Langguth, Berthold
Schlee, Winfried
Mazurek, Birgit
Spiliopoulou, Myra
Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title_full Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title_fullStr Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title_full_unstemmed Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title_short Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors
title_sort juxtaposing medical centers using different questionnaires through score predictors
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984251/
https://www.ncbi.nlm.nih.gov/pubmed/35401072
http://dx.doi.org/10.3389/fnins.2022.818686
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