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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:...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
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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. |
format | Online Article Text |
id | pubmed-6691419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
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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