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Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients

BACKGROUND: Chronic renal failure is among the major health challenges in the world. Many clinical trials have been conducted to assess the effects of complementary and alternative therapies on hemodialysis-related outcomes. However, a number of biases may affect the results of these studies. AIMS:...

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Autores principales: Adib-Hajbaghery, Mohsen, Nabizadeh-Gharghozar, Zohreh, Nasirpour, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691419/
https://www.ncbi.nlm.nih.gov/pubmed/31463227
http://dx.doi.org/10.4103/jfmpc.jfmpc_186_19
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author Adib-Hajbaghery, Mohsen
Nabizadeh-Gharghozar, Zohreh
Nasirpour, Parisa
author_facet Adib-Hajbaghery, Mohsen
Nabizadeh-Gharghozar, Zohreh
Nasirpour, Parisa
author_sort Adib-Hajbaghery, Mohsen
collection PubMed
description BACKGROUND: Chronic renal failure is among the major health challenges in the world. Many clinical trials have been conducted to assess the effects of complementary and alternative therapies on hemodialysis-related outcomes. However, a number of biases may affect the results of these studies. AIMS: This study aimed to assess biases in randomized clinical trials into the effects of complementary and alternative therapies on hemodialysis patients. SETTINGS AND DESIGN: A critical review on clinical trials into the effects of complementary and alternative therapies therapies on hemodialysis patients. MATERIALS AND METHODS: This study was conducted on 114 randomized clinical trials which had been published in 2012–2017 into the effects of complementary and alternative therapies on hemodialysis patients. The Cochrane Risk of Bias Tool was employed to assess biases in the included trials. The collected data were presented using the measures of descriptive statistics, namely absolute and relative frequencies. RESULTS: Among 114 included trials, 71.05% (81 trials) had used low bias methods for random sequence generation, while 60.52% (69 trials) had provided no clear information about allocation concealment. Moreover, respecting blinding, 57.89% of trials (66 trials) were low bias. Around 60.52% of trials (69 trials) had no attrition between randomization and final follow-up assessment and 84.21% (96 trials) had apparently reported all intended outcomes. CONCLUSIONS: This study shows that 50% of randomized clinical trials into the effects of complementary and alternative therapies on hemodialysis patients have low bias. Yet, quality improvement is still needed to produce more conclusive evidence.
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spelling pubmed-66914192019-08-28 Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients Adib-Hajbaghery, Mohsen Nabizadeh-Gharghozar, Zohreh Nasirpour, Parisa J Family Med Prim Care Review Article BACKGROUND: Chronic renal failure is among the major health challenges in the world. Many clinical trials have been conducted to assess the effects of complementary and alternative therapies on hemodialysis-related outcomes. However, a number of biases may affect the results of these studies. AIMS: This study aimed to assess biases in randomized clinical trials into the effects of complementary and alternative therapies on hemodialysis patients. SETTINGS AND DESIGN: A critical review on clinical trials into the effects of complementary and alternative therapies therapies on hemodialysis patients. MATERIALS AND METHODS: This study was conducted on 114 randomized clinical trials which had been published in 2012–2017 into the effects of complementary and alternative therapies on hemodialysis patients. The Cochrane Risk of Bias Tool was employed to assess biases in the included trials. The collected data were presented using the measures of descriptive statistics, namely absolute and relative frequencies. RESULTS: Among 114 included trials, 71.05% (81 trials) had used low bias methods for random sequence generation, while 60.52% (69 trials) had provided no clear information about allocation concealment. Moreover, respecting blinding, 57.89% of trials (66 trials) were low bias. Around 60.52% of trials (69 trials) had no attrition between randomization and final follow-up assessment and 84.21% (96 trials) had apparently reported all intended outcomes. CONCLUSIONS: This study shows that 50% of randomized clinical trials into the effects of complementary and alternative therapies on hemodialysis patients have low bias. Yet, quality improvement is still needed to produce more conclusive evidence. Wolters Kluwer - Medknow 2019-07 /pmc/articles/PMC6691419/ /pubmed/31463227 http://dx.doi.org/10.4103/jfmpc.jfmpc_186_19 Text en Copyright: © 2019 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Adib-Hajbaghery, Mohsen
Nabizadeh-Gharghozar, Zohreh
Nasirpour, Parisa
Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title_full Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title_fullStr Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title_full_unstemmed Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title_short Bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
title_sort bias in clinical trials into the effects of complementary and alternative medicine therapies on hemodialysis patients
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691419/
https://www.ncbi.nlm.nih.gov/pubmed/31463227
http://dx.doi.org/10.4103/jfmpc.jfmpc_186_19
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