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Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review.

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Title: Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review.
Authors: Lee, San, Lee, Keum Hwa, Park, Kyung Mee, Park, Sung Jong, Kim, Won Jae, Lee, Jinhee, Kronbichler, Andreas, Smith, Lee, Solmi, Marco, Stubbs, Brendon, Koyanagi, Ai, Jacob, Louis, Stickley, Andrew, Thompson, Trevor, Dragioti, Elena, Oh, Hans, Brunoni, Andre R., Carvalho, Andre F., Radua, Joaquim, An, Suk Kyoon
Source: Psychological Medicine. Apr2023, Vol. 53 Issue 5, p2017-2030. 14p.
Subjects: Biomarkers, Online information services, Psychology information storage & retrieval systems, Medical databases, Interleukins, C-reactive protein, Meta-analysis, Medical information storage & retrieval systems, Inflammation, Systematic reviews, Interleukin-1, Mental depression, Tumor necrosis factors, MEDLINE
Abstract: Background: Accumulating evidence suggests that alterations in inflammatory biomarkers are important in depression. However, previous meta-analyses disagree on these associations, and errors in data extraction may account for these discrepancies. Methods: PubMed/MEDLINE, Embase, PsycINFO, and the Cochrane Library were searched from database inception to 14 January 2020. Meta-analyses of observational studies examining the association between depression and levels of tumor necrosis factor- α (TNF- α), interleukin 1- β (IL-1 β), interleukin-6 (IL-6), and C-reactive protein (CRP) were eligible. Errors were classified as follows: incorrect sample sizes, incorrectly used standard deviation, incorrect participant inclusion, calculation error, or analysis with insufficient data. We determined their impact on the results after correction thereof. Results: Errors were noted in 14 of the 15 meta-analyses included. Across 521 primary studies, 118 (22.6%) showed the following errors: incorrect sample sizes (20 studies, 16.9%), incorrect use of standard deviation (35 studies, 29.7%), incorrect participant inclusion (7 studies, 5.9%), calculation errors (33 studies, 28.0%), and analysis with insufficient data (23 studies, 19.5%). After correcting these errors, 11 (29.7%) out of 37 pooled effect sizes changed by a magnitude of more than 0.1, ranging from 0.11 to 1.15. The updated meta-analyses showed that elevated levels of TNF- α , IL-6, CRP, but not IL-1 β , are associated with depression. Conclusions: These findings show that data extraction errors in meta-analyses can impact findings. Efforts to reduce such errors are important in studies of the association between depression and peripheral inflammatory biomarkers, for which high heterogeneity and conflicting results have been continuously reported. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Medicine is the property of Cambridge University Press 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review.
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  Data: <searchLink fieldCode="AR" term="%22Lee%2C+San%22">Lee, San</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Keum+Hwa%22">Lee, Keum Hwa</searchLink><br /><searchLink fieldCode="AR" term="%22Park%2C+Kyung+Mee%22">Park, Kyung Mee</searchLink><br /><searchLink fieldCode="AR" term="%22Park%2C+Sung+Jong%22">Park, Sung Jong</searchLink><br /><searchLink fieldCode="AR" term="%22Kim%2C+Won+Jae%22">Kim, Won Jae</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Jinhee%22">Lee, Jinhee</searchLink><br /><searchLink fieldCode="AR" term="%22Kronbichler%2C+Andreas%22">Kronbichler, Andreas</searchLink><br /><searchLink fieldCode="AR" term="%22Smith%2C+Lee%22">Smith, Lee</searchLink><br /><searchLink fieldCode="AR" term="%22Solmi%2C+Marco%22">Solmi, Marco</searchLink><br /><searchLink fieldCode="AR" term="%22Stubbs%2C+Brendon%22">Stubbs, Brendon</searchLink><br /><searchLink fieldCode="AR" term="%22Koyanagi%2C+Ai%22">Koyanagi, Ai</searchLink><br /><searchLink fieldCode="AR" term="%22Jacob%2C+Louis%22">Jacob, Louis</searchLink><br /><searchLink fieldCode="AR" term="%22Stickley%2C+Andrew%22">Stickley, Andrew</searchLink><br /><searchLink fieldCode="AR" term="%22Thompson%2C+Trevor%22">Thompson, Trevor</searchLink><br /><searchLink fieldCode="AR" term="%22Dragioti%2C+Elena%22">Dragioti, Elena</searchLink><br /><searchLink fieldCode="AR" term="%22Oh%2C+Hans%22">Oh, Hans</searchLink><br /><searchLink fieldCode="AR" term="%22Brunoni%2C+Andre+R%2E%22">Brunoni, Andre R.</searchLink><br /><searchLink fieldCode="AR" term="%22Carvalho%2C+Andre+F%2E%22">Carvalho, Andre F.</searchLink><br /><searchLink fieldCode="AR" term="%22Radua%2C+Joaquim%22">Radua, Joaquim</searchLink><br /><searchLink fieldCode="AR" term="%22An%2C+Suk+Kyoon%22">An, Suk Kyoon</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Psychological+Medicine%22">Psychological Medicine</searchLink>. Apr2023, Vol. 53 Issue 5, p2017-2030. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+information+storage+%26+retrieval+systems%22">Psychology information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+databases%22">Medical databases</searchLink><br /><searchLink fieldCode="DE" term="%22Interleukins%22">Interleukins</searchLink><br /><searchLink fieldCode="DE" term="%22C-reactive+protein%22">C-reactive protein</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Inflammation%22">Inflammation</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Interleukin-1%22">Interleukin-1</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor+necrosis+factors%22">Tumor necrosis factors</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Accumulating evidence suggests that alterations in inflammatory biomarkers are important in depression. However, previous meta-analyses disagree on these associations, and errors in data extraction may account for these discrepancies. Methods: PubMed/MEDLINE, Embase, PsycINFO, and the Cochrane Library were searched from database inception to 14 January 2020. Meta-analyses of observational studies examining the association between depression and levels of tumor necrosis factor- α (TNF- α), interleukin 1- β (IL-1 β), interleukin-6 (IL-6), and C-reactive protein (CRP) were eligible. Errors were classified as follows: incorrect sample sizes, incorrectly used standard deviation, incorrect participant inclusion, calculation error, or analysis with insufficient data. We determined their impact on the results after correction thereof. Results: Errors were noted in 14 of the 15 meta-analyses included. Across 521 primary studies, 118 (22.6%) showed the following errors: incorrect sample sizes (20 studies, 16.9%), incorrect use of standard deviation (35 studies, 29.7%), incorrect participant inclusion (7 studies, 5.9%), calculation errors (33 studies, 28.0%), and analysis with insufficient data (23 studies, 19.5%). After correcting these errors, 11 (29.7%) out of 37 pooled effect sizes changed by a magnitude of more than 0.1, ranging from 0.11 to 1.15. The updated meta-analyses showed that elevated levels of TNF- α , IL-6, CRP, but not IL-1 β , are associated with depression. Conclusions: These findings show that data extraction errors in meta-analyses can impact findings. Efforts to reduce such errors are important in studies of the association between depression and peripheral inflammatory biomarkers, for which high heterogeneity and conflicting results have been continuously reported. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychological Medicine is the property of Cambridge University Press 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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1017/S0033291721003767
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        Text: English
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        StartPage: 2017
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      – SubjectFull: Biomarkers
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      – SubjectFull: Online information services
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      – SubjectFull: Psychology information storage & retrieval systems
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      – SubjectFull: Inflammation
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      – SubjectFull: Systematic reviews
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      – SubjectFull: MEDLINE
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