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Empirical assessment of biases in cerebrospinal fluid biomarkers of Alzheimer’s disease: an umbrella review and re-analysis of data from meta-analyses

Empirical assessment of biases in cerebrospinal fluid biomarkers of Alzheimer’s disease: an umbrella review and re-analysis of data from meta-analyses

Jeong, D.Y., Lee, J., Kim, J.Y., Lee, K.H., Li, H., Lee, J.Y., Jeong, G.H., Yoon, S., Park, E.L., Hong, S.H., Kang, J.W., Song, T.J., Leyhe, T., Eisenhut, M., Kronbichler, A., Smith, L., Solmi, M., Stubbs, B., Koyanagi, A., Jacob, L., Stickley, A., Thompson, T. ORCID: 0000-0001-9880-782X, Dragioti, E., Oh, H., Brunoni, A.R., Carvalho, A.F., Kim, M.S., Yon, D.K., Lee, S.W., Yang, J.M., Shin, J.I. and Fusar-Poli, P. (2021) Empirical assessment of biases in cerebrospinal fluid biomarkers of Alzheimer’s disease: an umbrella review and re-analysis of data from meta-analyses. European Review for Medical and Pharmacological Sciences, 25 (3). pp. 1536-1547. ISSN 1128-3602 (Print), 2284-0729 (Online) (doi:https://doi.org/10.26355/eurrev_202102_24862)

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Abstract

OBJECTIVE: Alzheimer’s disease (AD) is a leading cause of years lived with dis- ability in older age, and several cerebrospinal fluid (CSF) markers have been proposed in individual meta-analyses to be associated with AD but field-wide evaluation and scrutiny of the literature is not available.
MATERIALS AND METHODS: We performed an umbrella review for the reported associations be- tween CSF biomarkers and AD. Data from available meta-analyses were reanalyzed using both random and fixed effects models. We also estimated be- tween-study heterogeneity, small-study effects, ex- cess significance, and prediction interval.
RESULTS: A total of 38 meta-analyses on CSF markers from 11 eligible articles were identified and reanalyzed. In 14 (36%) of the meta-analyses, the summary estimate and the results of the largest study showed non-concordant results in terms of statistical significance. Large heterogeneity (I2≥75%) was observed in 73% and small-study effects under Egger’s test were shown in 28% of CSF biomarkers.
CONCLUSIONS: Our results suggest that there is an excess of statistically significant results and significant biases in the literature of CSF bio-markers for AD. Therefore, the results of CSF bio-markers should be interpreted with caution.

Item Type: Article
Uncontrolled Keywords: Alzheimer’s disease, CSF biomarkers, meta-analysis, umbrella review, excess significance
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Department of Psychology, Social Work & Counselling
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Chronic Illness and Ageing
Last Modified: 14 Apr 2021 09:26
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/31392

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