Prevalence and correlates of fatigue in amyotrophic lateral sclerosis: A systematic review and meta-analysis.

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Title: Prevalence and correlates of fatigue in amyotrophic lateral sclerosis: A systematic review and meta-analysis.
Authors: Hamad, Abdullah Ashraf (AUTHOR), Amer, Basma Ehab (AUTHOR), Abbas, Nagham Bushara (AUTHOR), Alnajjar, Asmaa Zakria (AUTHOR), Meshref, Mostafa (AUTHOR)
Source: Neurological Sciences. Feb2024, Vol. 45 Issue 2, p485-493. 9p.
Subjects: Amyotrophic lateral sclerosis, Fatigue (Physiology), Motor neuron diseases
Abstract: Objectives: This systematic review and meta-analysis aimed to determine the frequency and correlates of fatigue in patients with amyotrophic lateral sclerosis (ALS). Methods: Three databases were searched up to 2nd May 2023 to identify studies reporting fatigue frequency in ALS. Studies included had to identify ALS patients through one of ALS diagnostic criteria and measure fatigue by a validated tool with a specific cut-off value. Meta-analysis was conducted using RStudio's "meta" package with a random-effects model. Subgroup analyses and meta-regression explored the relationship between fatigue frequency in ALS and different covariates. Results: Eleven studies, compromising 1072 patients, met the inclusion criteria and were included in our analysis. The pooled frequency of fatigue across all studies was 48% (95% CI = 40% to 57%). Our subgroup analysis based on the ALSFRS-R revealed a higher frequency of fatigue in studies with lower scores (< 30) compared to those with higher scores (≥ 30), with a pooled frequency of 62% (95% CI = 43% to 79%) and 43% (95% CI = 37% to 49%), respectively. Also, the meta-regression analysis showed a significant negative association between fatigue and ALSFRS-R mean (P = 0.02). The included studies reported an association between fatigue and lower functional status and poorer quality of life in patients with ALS. Conclusion: Our findings suggest that fatigue is prevalent in almost half of ALS patients and is associated with lower functional status and poorer quality of life, highlighting the importance of assessing and managing fatigue in ALS patients. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Prevalence and correlates of fatigue in amyotrophic lateral sclerosis: A systematic review and meta-analysis.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hamad%2C+Abdullah+Ashraf%22&quot;&gt;Hamad, Abdullah Ashraf&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Amer%2C+Basma+Ehab%22&quot;&gt;Amer, Basma Ehab&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Abbas%2C+Nagham+Bushara%22&quot;&gt;Abbas, Nagham Bushara&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Alnajjar%2C+Asmaa+Zakria%22&quot;&gt;Alnajjar, Asmaa Zakria&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Meshref%2C+Mostafa%22&quot;&gt;Meshref, Mostafa&lt;/searchLink&gt; (AUTHOR)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Neurological+Sciences%22&quot;&gt;Neurological Sciences&lt;/searchLink&gt;. Feb2024, Vol. 45 Issue 2, p485-493. 9p.
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Amyotrophic+lateral+sclerosis%22&quot;&gt;Amyotrophic lateral sclerosis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Fatigue+%28Physiology%29%22&quot;&gt;Fatigue (Physiology)&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Motor+neuron+diseases%22&quot;&gt;Motor neuron diseases&lt;/searchLink&gt;
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  Label: Abstract
  Group: Ab
  Data: Objectives: This systematic review and meta-analysis aimed to determine the frequency and correlates of fatigue in patients with amyotrophic lateral sclerosis (ALS). Methods: Three databases were searched up to 2nd May 2023 to identify studies reporting fatigue frequency in ALS. Studies included had to identify ALS patients through one of ALS diagnostic criteria and measure fatigue by a validated tool with a specific cut-off value. Meta-analysis was conducted using RStudio&#39;s &quot;meta&quot; package with a random-effects model. Subgroup analyses and meta-regression explored the relationship between fatigue frequency in ALS and different covariates. Results: Eleven studies, compromising 1072 patients, met the inclusion criteria and were included in our analysis. The pooled frequency of fatigue across all studies was 48% (95% CI = 40% to 57%). Our subgroup analysis based on the ALSFRS-R revealed a higher frequency of fatigue in studies with lower scores (&lt; 30) compared to those with higher scores (≥ 30), with a pooled frequency of 62% (95% CI = 43% to 79%) and 43% (95% CI = 37% to 49%), respectively. Also, the meta-regression analysis showed a significant negative association between fatigue and ALSFRS-R mean (P = 0.02). The included studies reported an association between fatigue and lower functional status and poorer quality of life in patients with ALS. Conclusion: Our findings suggest that fatigue is prevalent in almost half of ALS patients and is associated with lower functional status and poorer quality of life, highlighting the importance of assessing and managing fatigue in ALS patients. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10072-023-07119-7
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Amyotrophic lateral sclerosis
        Type: general
      – SubjectFull: Fatigue (Physiology)
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      – SubjectFull: Motor neuron diseases
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      – TitleFull: Prevalence and correlates of fatigue in amyotrophic lateral sclerosis: A systematic review and meta-analysis.
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            NameFull: Hamad, Abdullah Ashraf
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            NameFull: Amer, Basma Ehab
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              Text: Feb2024
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